# Best Natural Language Understanding (NLU) Software - Page 2

*By [Bijou Barry](https://research.g2.com/insights/author/bijou-barry)*


Natural language understanding (NLU) software uses machine learning algorithms and statistical methods to help applications better understand human text, providing outputs such as part-of-speech tagging, sentiment analysis, named entity recognition, automatic summarization, emotion detection, and language detection from language inputs.

### Core Capabilities of NLU Software

To qualify for inclusion in the Natural Language Understanding category, a product must:

- Provide a deep learning algorithm specifically for human language interaction
- Connect with language data pools to learn a specific solution or function
- Consume language as an input and provide an outputted solution

### Common Use Cases for NLU Software

Developers and AI teams use NLU software to add human language comprehension capabilities to applications and services. Common use cases include:

- Powering chatbots and virtual assistants with intent recognition and multi-turn conversation understanding
- Enabling social media monitoring tools to analyze brand sentiment and detect mentions automatically
- Supporting translation and language detection applications across diverse linguistic data sources

### How NLU Software Differs from Other Tools

NLU is a specialized form of [natural language processing (NLP)](https://www.g2.com/categories/natural-language-processing-nlp) focused specifically on language comprehension and intent understanding, rather than the full spectrum of text processing tasks. NLU algorithms are examples of deep learning and may be offered as prebuilt capabilities within broader AI platform solutions, making them more focused than general NLP platforms that cover text generation and classification alongside understanding.

### Insights from G2 on NLU Software

Based on category trends on G2, intent recognition accuracy and ease of integration into conversational applications stand out as top capabilities. These platforms deliver improvements in chatbot understanding and reduction in misclassified user inputs as primary outcomes of adoption.






## G2 Grid® for Natural Language Understanding (NLU) Software
![G2 Grid® for Natural Language Understanding (NLU) Software plotting products by satisfaction and market presence](https://www.g2.com/categories/natural-language-understanding-nlu/grids.png?focus%5B%5D=1579500&focus%5B%5D=21473&focus%5B%5D=52116&focus%5B%5D=21472&focus%5B%5D=77169&focus%5B%5D=1375562&focus%5B%5D=113977&focus%5B%5D=1435141)
Highlighted products: Claude, Google Cloud Translation API, Amazon Comprehend, Google Cloud Natural Language API, Deepgram, Azure AI Language, Google Cloud AutoML Natural Language, and Google NotebookLM.
Underlying data: [Grid® JSON](https://www.g2.com/categories/natural-language-understanding-nlu/grids.json?focus%5B%5D=claude-2025-12-11&focus%5B%5D=google-cloud-translation-api&focus%5B%5D=amazon-comprehend&focus%5B%5D=google-cloud-natural-language-api&focus%5B%5D=deepgram&focus%5B%5D=azure-ai-language&focus%5B%5D=google-cloud-automl-natural-language&focus%5B%5D=google-notebooklm)


## How Many Natural Language Understanding (NLU) Software Products Does G2 Track?
**Total Products under this Category:** 79

### Category Stats (Jul 2026)
- **Average Rating**: 4.43/5 (↑0.01 vs Jun 2026) The average rating of products in this category, based on all submitted ratings
- **Top Trending Product**: Plasticity (+6.25%) - Among all products in this category, Plasticity recorded the largest rating increase compared to last month
*Last updated: July 09, 2026*


## How Does G2 Rank Natural Language Understanding (NLU) Software Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 2,400+ Authentic Reviews
- 79+ Products
- Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.


## Which Natural Language Understanding (NLU) Software Is Best for Your Use Case?

- **Leader:** [Claude](https://www.g2.com/products/claude-2025-12-11/reviews)
- **Highest Performer:** [Google NotebookLM](https://www.g2.com/products/google-notebooklm/reviews)
- **Easiest to Use:** [Claude](https://www.g2.com/products/claude-2025-12-11/reviews)
- **Top Trending:** [Deepgram](https://www.g2.com/products/deepgram/reviews)
- **Best Free Software:** [Google Cloud Translation API](https://www.g2.com/products/google-cloud-translation-api/reviews)


## What Are the Top-Rated Natural Language Understanding (NLU) Software Products in 2026?
### 1. [Tinq.ai](https://www.g2.com/products/tinq-ai/reviews)
Tinq.ai is a simple, yet powerful natural language processing tool. It helps you easily implement text analysis within your projects.


**Average Rating:** 4.5/5.0
**Total Reviews:** 2
**How Do G2 Users Rate Tinq.ai?**

- **Summarization:** 9.2/10 (Category avg: 9.0/10)
- **Language Detection:** 8.3/10 (Category avg: 8.7/10)
- **Part of Speech Tagging:** 8.3/10 (Category avg: 8.7/10)
- **Quality of Support:** 9.2/10 (Category avg: 8.7/10)

**Who Is the Company Behind Tinq.ai?**

- **Seller:** [Tinq.ai](https://www.g2.com/sellers/tinq-ai)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/tinq-ai/ (1 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 50% Enterprise, 50% Small-Business



#### What Are Recent G2 Reviews of Tinq.ai?

**"[Good for Plagiarism Check](https://www.g2.com/survey_responses/tinq-ai-review-9507447)"**

**Rating:** 4.0/5.0 stars
*— Atique R.*

[Read full review](https://www.g2.com/survey_responses/tinq-ai-review-9507447)

---

**"[NLP Toolkit](https://www.g2.com/survey_responses/tinq-ai-review-9513826)"**

**Rating:** 5.0/5.0 stars
*— Lokesh A.*

[Read full review](https://www.g2.com/survey_responses/tinq-ai-review-9513826)

---



### 2. [Convai](https://www.g2.com/products/convai/reviews)
Enable your characters with human-like conversation capabilities in games and virtual world applications.


**Average Rating:** 5.0/5.0
**Total Reviews:** 1
**How Do G2 Users Rate Convai?**

- **Summarization:** 10.0/10 (Category avg: 9.0/10)
- **Language Detection:** 10.0/10 (Category avg: 8.7/10)
- **Part of Speech Tagging:** 10.0/10 (Category avg: 8.7/10)
- **Quality of Support:** 10.0/10 (Category avg: 8.7/10)

**Who Is the Company Behind Convai?**

- **Seller:** [Convai](https://www.g2.com/sellers/convai)
- **HQ Location:** Melbourne , NZ
- **LinkedIn® Page:** https://www.linkedin.com/company/convai-au/ (17 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 100% Mid-Market


#### What Are Convai's Pros and Cons?

**Pros:**

- Chatbot Communication (1 reviews)
- Customization (1 reviews)
- Setup Ease (1 reviews)



### What Do G2 Reviewers Say About Convai?
*AI-generated summary from verified user reviews*

**Pros:**

- Users admire the **customizable 3D avatars** in Convai, enhancing interaction and support for students and game development.
- Users value the **customization options** in Convai, enhancing character creation for various applications, including education and gaming.
- Users find the **ease of setup** in Convai beneficial for integrating avatars in Unity and enhancing learning.


#### What Are Recent G2 Reviews of Convai?

**"[Great for 3D Character Interactions with AI integration](https://www.g2.com/survey_responses/convai-review-10251181)"**

**Rating:** 5.0/5.0 stars
*— Rexcel C.*

[Read full review](https://www.g2.com/survey_responses/convai-review-10251181)

---



### 3. [Expert.ai](https://www.g2.com/products/expert-ai/reviews)
Expert.ai Studio is a fully integrated, low-code development environment for building and deploying custom AI-based text models to address any linguistic challenge. Our solution helps organizations and developers to create advanced and unique solutions to extend the scope of intelligent process automation and make knowledge discovery more effective. Expert.ai Studio applies natural language understanding (NLU) capabilities and a fine-grained text processing configuration to achieve precise comprehension of your content. As a result, you gain complete control over your data so you can use it more efficiently and at scale in support of your business operations.


**Average Rating:** 5.0/5.0
**Total Reviews:** 1

**Who Is the Company Behind Expert.ai?**

- **Seller:** [Expert.ai](https://www.g2.com/sellers/expert-ai)
- **HQ Location:** Modena, IT
- **LinkedIn® Page:** https://www.linkedin.com/company/expert-ai/ (266 employees on LinkedIn®)
- **Ownership:** BIT:EXSY
- **Total Revenue (USD mm):** $31

**Who Uses This Product?**
- **Company Size:** 100% Enterprise



#### What Are Recent G2 Reviews of Expert.ai?

**"[Expert.ai review - evaluated recently and this is pretty handy solution.](https://www.g2.com/survey_responses/expert-ai-review-9619660)"**

**Rating:** 5.0/5.0 stars
*— Amol P.*

[Read full review](https://www.g2.com/survey_responses/expert-ai-review-9619660)

---



### 4. [NaturalText](https://www.g2.com/products/naturaltext/reviews)
Natural Text uses Machine Learning algorithms to identify similar phrases/lines between patent descriptions.


**Average Rating:** 4.5/5.0
**Total Reviews:** 2
**How Do G2 Users Rate NaturalText?**

- **Summarization:** 10.0/10 (Category avg: 9.0/10)
- **Language Detection:** 10.0/10 (Category avg: 8.7/10)
- **Part of Speech Tagging:** 10.0/10 (Category avg: 8.7/10)

**Who Is the Company Behind NaturalText?**

- **Seller:** [NaturalText](https://www.g2.com/sellers/naturaltext)
- **Year Founded:** 2015
- **HQ Location:** Ellicott City, US
- **Twitter:** @naturaltext (39 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/naturaltext/ (4 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 100% Small-Business



#### What Are Recent G2 Reviews of NaturalText?

**"[Get the crux of your document in a few seconds](https://www.g2.com/survey_responses/naturaltext-review-8905378)"**

**Rating:** 5.0/5.0 stars
*— Trishla S.*

[Read full review](https://www.g2.com/survey_responses/naturaltext-review-8905378)

---

**"[Offers tons of possibilities!](https://www.g2.com/survey_responses/naturaltext-review-8856459)"**

**Rating:** 4.0/5.0 stars
*— Michael D.*

[Read full review](https://www.g2.com/survey_responses/naturaltext-review-8856459)

---



### 5. [Spitch](https://www.g2.com/products/spitch/reviews)
Spitch is a Swiss provider of solutions based on Automatic Speech Recognition (ASR) and voice biometrics, Voice User Interfaces (VUI), and natural language voice data analytics.


**Average Rating:** 5.0/5.0
**Total Reviews:** 1
**How Do G2 Users Rate Spitch?**

- **Summarization:** 10.0/10 (Category avg: 9.0/10)
- **Language Detection:** 10.0/10 (Category avg: 8.7/10)
- **Part of Speech Tagging:** 10.0/10 (Category avg: 8.7/10)
- **Quality of Support:** 10.0/10 (Category avg: 8.7/10)

**Who Is the Company Behind Spitch?**

- **Seller:** [Spitch](https://www.g2.com/sellers/spitch)
- **Year Founded:** 2014
- **HQ Location:** Stadtkreis 2, CH
- **Twitter:** @Spitch_AG (111 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/spitch-ag/ (82 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 100% Small-Business



#### What Are Recent G2 Reviews of Spitch?

**"[MultiLingual Support is their best feature](https://www.g2.com/survey_responses/spitch-review-10168535)"**

**Rating:** 5.0/5.0 stars
*— Dharmesh M.*

[Read full review](https://www.g2.com/survey_responses/spitch-review-10168535)

---



### 6. [AI Article Summarizer](https://www.g2.com/products/ai-article-summarizer/reviews)
AI Article Summarizer is an advanced tool designed to transform lengthy articles into concise, structured summaries, enabling users to quickly grasp key insights without reading the entire content. By simply entering a URL, the tool analyzes the article's structure, identifies main arguments, and extracts essential elements such as quotes, statistics, and references. This makes it particularly beneficial for journalists, researchers, and content analysts who need to efficiently process large volumes of information. Key Features and Functionality: - Argument Analysis: Intelligently identifies main arguments, supporting evidence, and counterarguments within the article. - Evidence Extraction: Automatically extracts and organizes quotes, statistics, and reference data for comprehensive analysis. - Content Classification: Categorizes article types and writing styles, distinguishing between news articles, opinion pieces, and research papers. - Source Analysis: Identifies and analyzes cited sources, references, and external links to provide context and credibility assessment. - Quote Extraction: Extracts direct quotes, paraphrased content, and attributed statements to highlight key points. - Research Insights: Analyzes research methodology, data sources, and statistical significance to evaluate the robustness of the article's findings. Primary Value and User Benefits: The AI Article Summarizer addresses the challenge of information overload by enabling users to quickly distill essential information from extensive articles. This efficiency saves time and enhances productivity for professionals who need to stay informed without dedicating hours to reading. By preserving the logical flow and critical details of the original content, the tool ensures that users receive accurate and meaningful summaries, facilitating better decision-making and knowledge acquisition.



**Who Is the Company Behind AI Article Summarizer?**

- **Seller:** [AI Article Summarizer](https://www.g2.com/sellers/ai-article-summarizer)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)






### 7. [Aifinderapp](https://www.g2.com/products/aifinderapp/reviews)
AI Finder is an AI-powered file management agent designed exclusively for macOS, enabling users to locate files and folders effortlessly through natural-language queries. By simply describing the desired file or its content, AI Finder swiftly identifies and retrieves the relevant documents, eliminating the need to recall specific file names or locations. Key Features and Functionality: - Natural-Language File Search: Utilize conversational language to search for files based on content, creation or modification dates, specific keywords, duplicate files, and more. - PDF Interaction: Engage with PDF documents by asking questions, summarizing content, and extracting key insights without reading the entire document. - Privacy and Security: All file analysis is conducted locally on your device, ensuring that no content is uploaded to the cloud. AI Finder adheres to your system's privacy and permission settings. - Sandboxed Environment: Operates within a sandboxed environment, requiring users to create a Workspace that includes the files and folders they want AI Finder to access, thereby maintaining system security. Primary Value and User Solutions: AI Finder streamlines the file retrieval process by allowing users to search using natural language, significantly reducing the time and effort required to locate specific documents. Its advanced search capabilities, including content-based queries and PDF interaction, cater to professionals, researchers, and students who manage extensive digital files. By performing all analyses locally, AI Finder ensures user data remains private and secure, addressing concerns about cloud-based file management solutions.



**Who Is the Company Behind Aifinderapp?**

- **Seller:** [AI Finder](https://www.g2.com/sellers/ai-finder)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)






### 8. [AmplifyReach Core NLP](https://www.g2.com/products/amplifyreach-core-nlp/reviews)
Build Contextual Intelligence In Your Application! Use core NLP engine with easy REST APIs to extract knowledge from unstructured text. Gain Contextual Intelligence to improve your search, discovery and relevance. please contact us for demo and discuss use cases!



**Who Is the Company Behind AmplifyReach Core NLP?**

- **Seller:** [AmplifyReach](https://www.g2.com/sellers/amplifyreach)
- **Year Founded:** 2016
- **HQ Location:** Pune, IN
- **Twitter:** @Amplify_Reach (88 Twitter followers)
- **LinkedIn® Page:** https://in.linkedin.com/company/amplifyreach (7 employees on LinkedIn®)






### 9. [Beebee](https://www.g2.com/products/beebee/reviews)
BeeBee.AI is an advanced AI-driven platform designed for long-term investors in the U.S. stock market who prioritize fundamental analysis and data-driven decision-making. Supporting over 3,000 companies—including those in the Dow Jones 30, S&P 500, and NASDAQ 100—BeeBee.AI leverages the GPT foundation combined with specialized NLP mini-models to offer comprehensive interpretations of earnings reports and conference calls. This includes AI-generated summaries of key management insights, structured information extraction, and sentiment analysis. Additionally, the platform conducts in-depth analyses of a company's digital footprint by processing data from search engines, YouTube, Twitter, Reddit, and other online sources, generating various ranked lists to aid investors. Key Features and Functionality: - Earnings Report Analysis: Provides AI-generated summaries and structured insights from earnings reports and conference calls. - Sentiment Analysis: Distills sentiment factors from management discussions to gauge company outlook. - Digital Footprint Evaluation: Analyzes data from multiple online sources to assess a company's market presence and public perception. - Extensive Coverage: Supports analysis for over 3,000 companies across major U.S. stock indices. Primary Value and User Solutions: BeeBee.AI empowers long-term investors by providing concise, AI-driven analyses of earnings reports and digital footprints, enabling informed investment decisions. By automating the extraction and interpretation of critical financial data and market sentiment, the platform saves investors time and enhances the accuracy of their fundamental analyses. This comprehensive approach addresses the challenge of sifting through vast amounts of information, offering a streamlined solution for data-driven investment strategies.



**Who Is the Company Behind Beebee?**

- **Seller:** [BeeBee Ai](https://www.g2.com/sellers/beebee-ai)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)






### 10. [Canceledgpt](https://www.g2.com/products/canceledgpt/reviews)
Canceledgpt is an advanced AI-powered tool designed to assist users in managing and mitigating the effects of online cancel culture. By analyzing social media content, it identifies potentially controversial posts and offers guidance on how to address or rephrase them to prevent backlash. Key Features and Functionality: - Content Analysis: Scans social media posts to detect language or topics that may be deemed offensive or controversial. - Real-Time Alerts: Provides immediate notifications when potentially problematic content is identified. - Guidance and Recommendations: Offers suggestions on how to modify or respond to content to reduce the risk of negative reactions. - Sentiment Analysis: Evaluates the tone and sentiment of posts to gauge public perception. - Historical Data Review: Allows users to review past posts to identify and address content that could lead to future issues. Primary Value and User Solutions: Canceledgpt empowers individuals and organizations to navigate the complexities of online interactions by proactively identifying and addressing content that could lead to public backlash. By providing real-time analysis and actionable recommendations, it helps users maintain a positive online presence, protect their reputation, and foster constructive engagement with their audience.



**Who Is the Company Behind Canceledgpt?**

- **Seller:** [CanceledGPT](https://www.g2.com/sellers/canceledgpt)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)






### 11. [Clarifypdf](https://www.g2.com/products/clarifypdf-clarifypdf/reviews)
Clarifypdf is a versatile document analysis tool designed to enhance the way users interact with PDF files. By leveraging advanced AI capabilities, it allows users to upload PDFs and extract valuable insights through a user-friendly interface. Whether for personal use or integration into existing systems via API, Clarifypdf offers flexible solutions to meet diverse document processing needs. Key Features and Functionality: - PDF Upload and Analysis: Users can upload documents up to 20MB and receive detailed analyses, including summaries and answers to specific questions. - Credit-Based System: The platform operates on a credit system, where activities such as uploading a PDF or posing a question consume credits, providing a transparent and scalable usage model. - API Integration: For developers and businesses, Clarifypdf offers API access, enabling seamless integration of document AI capabilities into existing workflows and applications. - Flexible Pricing Plans: With options ranging from free trials to pay-as-you-go credit packs, users can choose plans that best fit their usage patterns and requirements. Primary Value and User Solutions: Clarifypdf addresses the challenge of efficiently extracting and understanding information from PDF documents. By automating the analysis process, it saves users time and effort, allowing them to focus on decision-making rather than manual data extraction. Its flexible pricing and integration options make it suitable for individuals, developers, and businesses seeking to enhance their document processing capabilities.



**Who Is the Company Behind Clarifypdf?**

- **Seller:** [ClarifyPDF](https://www.g2.com/sellers/clarifypdf)
- **Year Founded:** 2023
- **HQ Location:** London, GB
- **LinkedIn® Page:** https://www.linkedin.com/company/bunni-ai/ (3 employees on LinkedIn®)






### 12. [CommandDash](https://www.g2.com/products/commanddash/reviews)
Welltested generates thoughtful test cases for your code in just 10 minutes.



**Who Is the Company Behind CommandDash?**

- **Seller:** [ComandDash](https://www.g2.com/sellers/comanddash)
- **HQ Location:** Ahmedabad, IN
- **LinkedIn® Page:** http://linkedin.com/company/commanddash (2 employees on LinkedIn®)






### 13. [Commentexplorer](https://www.g2.com/products/commentexplorer/reviews)
Comment Explorer is a powerful tool designed to help YouTube creators gain deeper insights into their audience's feedback by analyzing the comments on their videos. By transforming the often overwhelming volume of comments into actionable data, Comment Explorer enables creators to understand how their content resonates with viewers, identify trends, and make informed decisions to enhance their engagement strategies. Key Features and Functionality: - Audience Engagement Score: This metric evaluates the level of viewer interaction by considering factors such as views, likes, comments, and the overall sentiment expressed in the comments. - Sentiment Analysis: Provides an average sentiment rating for a video's comment section, helping creators gauge the general mood and reactions of their audience. - Emotion Analysis: Identifies and highlights the top three emotions—such as joy, surprise, or sadness—expressed in the comments, offering insights into the emotional impact of the content. - Interactive Query Feature: Allows creators to pose specific questions to their comment sections, enabling them to extract targeted insights, such as identifying popular topics or gathering suggestions for future content. Primary Value and User Benefits: Comment Explorer addresses the challenge of sifting through extensive comment sections by providing a structured and comprehensive analysis of viewer feedback. This empowers creators to: - Understand audience engagement levels and sentiments. - Identify prevalent emotions and topics discussed by viewers. - Make data-driven decisions to refine content strategies and foster a more engaged community. By unlocking the valuable data within YouTube comments, Comment Explorer enables creators to enhance their content's impact and build stronger connections with their audience.



**Who Is the Company Behind Commentexplorer?**

- **Seller:** [Comment Explorer - Youtube](https://www.g2.com/sellers/comment-explorer-youtube)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)






### 14. [ConvoSearch](https://www.g2.com/products/convosearch/reviews)
ConvoSearch is an AI-powered search solution designed to enhance e-commerce platforms by providing a seamless and intuitive product discovery experience. By understanding natural language queries, visual elements, and voice inputs, ConvoSearch enables customers to find products effortlessly, leading to increased engagement and higher conversion rates. Key Features and Functionality: - Natural Language Processing: Interprets customer queries in their own words, even accommodating typos, to deliver accurate search results. - Visual and Voice Search: Allows users to search using images or voice commands, catering to diverse shopping preferences. - Real-Time Analytics: Provides insights into search patterns, user behavior, and conversion metrics to optimize store performance. - Seamless Integration: Easily integrates with existing e-commerce platforms, including Shopify, ensuring quick setup without technical expertise. - Automatic Product Sync: Ensures that any changes to product listings are instantly reflected in search results, maintaining up-to-date inventory information. Primary Value and Solutions Provided: ConvoSearch addresses common challenges in e-commerce by transforming the search experience. It reduces customer frustration by delivering precise results, thereby increasing conversion rates and average order values. For small businesses, it offers enterprise-level tools to compete with larger retailers, providing personalized shopping experiences that foster customer loyalty. By leveraging AI-driven insights, ConvoSearch empowers businesses to make data-informed decisions, optimize inventory, and ultimately drive revenue growth.



**Who Is the Company Behind ConvoSearch?**

- **Seller:** [ConvoSearch](https://www.g2.com/sellers/convosearch)
- **Year Founded:** 2024
- **HQ Location:** San Francisco, US
- **LinkedIn® Page:** https://www.linkedin.com/company/convosearch/ (7 employees on LinkedIn®)






### 15. [Databorg AI](https://www.g2.com/products/databorg-ai/reviews)
Databorg.ai runs custom Question Answering Bots on any website, enhancing your ability to access information efficiently.



**Who Is the Company Behind Databorg AI?**

- **Seller:** [DataBorg UG](https://www.g2.com/sellers/databorg-ug)
- **Year Founded:** 2020
- **HQ Location:** Hamburg, DE
- **LinkedIn® Page:** https://www.linkedin.com/company/databorg-ds (1 employees on LinkedIn®)






### 16. [Embed 3](https://www.g2.com/products/coherecohrere/reviews)
Build incredible products with world-class language AI Cohere’s large language models unleash powerful capabilities, like content generation, summarization, and search — all at massive scale.



**Who Is the Company Behind Embed 3?**

- **Seller:** [Cohere](https://www.g2.com/sellers/cohere-59b8d282-7088-4aee-90d5-f9f5facc7da2)
- **Year Founded:** 2019
- **HQ Location:** Toronto, Ontario, Canada
- **LinkedIn® Page:** https://www.linkedin.com/company/cohere-ai/ (818 employees on LinkedIn®)






### 17. [Explainpaper](https://www.g2.com/products/explainpaper/reviews)
Explainpaper is an AI-powered platform designed to help researchers and students read and understand complex research papers more efficiently. By allowing users to upload academic papers, highlight challenging sections, and receive instant, simplified explanations, Explainpaper aims to make dense scientific literature more accessible. This tool is particularly beneficial for those looking to grasp intricate concepts without getting overwhelmed by technical jargon. Key Features and Functionality: - Highlight Explanations: Users can highlight confusing text within a research paper to receive immediate, straightforward explanations. - Follow-up Questions: The platform enables users to ask additional questions about the content, facilitating deeper understanding. - AI-Powered Summaries: Advanced AI models generate concise summaries of entire papers, providing a quick overview of the main points. - Save Highlights and Explanations: Users can save their highlights and the corresponding explanations for future reference. - Team Collaboration: For organizations, Explainpaper offers team management features, priority support, and volume discounts. Primary Value and Problem Solved: Explainpaper addresses the challenge of deciphering complex academic language, which often hinders efficient research. By simplifying dense sections and providing clear explanations, it reduces the time and effort required to comprehend research papers. This empowers users to focus on the core ideas and advancements in their field without being bogged down by intricate terminology. Ultimately, Explainpaper enhances the research experience, making it more productive and less intimidating.



**Who Is the Company Behind Explainpaper?**

- **Seller:** [Explainpaper](https://www.g2.com/sellers/explainpaper)
- **Year Founded:** 2022
- **HQ Location:** San Francisco, US
- **LinkedIn® Page:** https://www.linkedin.com/company/explainpaper/ (2 employees on LinkedIn®)






### 18. [Fluento](https://www.g2.com/products/fluento/reviews)
Fluento is an AI-powered language coaching application designed to enhance users' language proficiency during everyday conversations and meetings. By providing real-time feedback on fluency, vocabulary, and grammar, Fluento transforms routine calls into valuable language-learning opportunities without requiring additional practice time. The platform seamlessly integrates with various communication tools, enabling users to improve their language skills effortlessly. Key Features and Functionality: - Personalized Progress Tracking: Fluento monitors users' fluency, vocabulary, and grammar, offering precise insights into their language proficiency levels, including estimated TOEFL and IELTS scores. - Real-Time Feedback: The application provides immediate corrections and suggestions during conversations, helping users identify and rectify language errors as they occur. - Targeted Mini-Challenges: Fluento assigns specific challenges, such as using advanced vocabulary or reducing filler words, to reinforce positive language habits and ensure continuous improvement. - Comprehensive Post-Meeting Analysis: After each conversation, users receive detailed reports highlighting strengths and areas for improvement, facilitating focused learning. - Seamless Integration: Fluento works across various communication platforms, allowing users to enhance their language skills in any professional or personal setting. Primary Value and User Benefits: Fluento addresses the common challenge of finding time for language practice by embedding learning into daily interactions. By offering real-time feedback and personalized challenges, it empowers users to build confidence and achieve measurable progress in their language abilities. This innovative approach ensures that language improvement becomes a natural and effortless part of users' routines, leading to sustained growth and proficiency.



**Who Is the Company Behind Fluento?**

- **Seller:** [Fluento](https://www.g2.com/sellers/fluento)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)






### 19. [Gengo](https://www.g2.com/products/gengo-app-gengo/reviews)
Gengo.app is an innovative platform designed to assist users in learning Japanese through immersive reading experiences. By integrating an Optical Character Recognition (OCR) dictionary with a manga and light novel reader, it enables learners to engage with authentic Japanese texts while accessing real-time translations and definitions. This approach not only enhances reading comprehension but also aids in vocabulary acquisition and overall language proficiency. Key Features and Functionality: - Integrated OCR Dictionary: Utilizes OCR technology to recognize and translate Japanese text within manga and light novels, providing immediate definitions and translations. - Manga and Light Novel Reader: Supports reading of image files (PNG, JPG) and ZIP archives, allowing users to import and read their own materials seamlessly. - Language Learning Tools: Offers various tools to assist with vocabulary building and comprehension, enhancing the language learning process. - Cross-Platform Support: Designed for use across multiple devices, ensuring accessibility and convenience for learners. Primary Value and User Solutions: Gengo.app addresses the challenge of learning Japanese by providing an immersive and interactive reading environment. By combining authentic Japanese content with real-time translation tools, it allows learners to engage with the language in context, facilitating a deeper understanding and retention of vocabulary and grammar. This method aligns with immersive language learning techniques, making the process both effective and enjoyable.



**Who Is the Company Behind Gengo?**

- **Seller:** [gengo.app](https://www.g2.com/sellers/gengo-app)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)






### 20. [Gptionary](https://www.g2.com/products/gptionary/reviews)
Gptionary is an innovative AI-powered dictionary designed to enhance vocabulary learning and comprehension. By leveraging advanced language models, it provides users with precise definitions, contextual examples, and nuanced explanations, making it an invaluable tool for students, professionals, and language enthusiasts. Key Features and Functionality: - Comprehensive Definitions: Offers detailed and accurate definitions for a vast array of words, ensuring users grasp the full meaning and usage. - Contextual Examples: Provides sentences and scenarios where words are used, aiding in understanding and retention. - Synonyms and Antonyms: Lists related words to expand vocabulary and improve language skills. - Pronunciation Guides: Includes phonetic transcriptions and audio pronunciations to assist with correct word articulation. - User-Friendly Interface: Features an intuitive design that allows for easy navigation and quick access to information. Primary Value and User Solutions: Gptionary addresses the challenge of language learning by providing a dynamic and interactive platform that goes beyond traditional dictionaries. It empowers users to deepen their understanding of words through context and usage, thereby enhancing communication skills and confidence in language use. Whether for academic purposes, professional development, or personal growth, Gptionary serves as a reliable companion in the journey of mastering language.



**Who Is the Company Behind Gptionary?**

- **Seller:** [GPTionary](https://www.g2.com/sellers/gptionary)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)






### 21. [Guoc](https://www.g2.com/products/guoc/reviews)
Context Word Lookup is an AI-powered application designed for iOS and macOS users who engage in serious foreign language reading. It assists users in understanding the meaning of words within sentences by leveraging ChatGPT to provide contextual explanations. This tool is particularly beneficial for readers who recognize individual words but struggle to grasp their meanings within specific contexts. Key Features: - AI-Powered Explanations: Utilizes ChatGPT to interpret and explain words within their sentence context. - User-Friendly Process: Simplifies the lookup process to three steps: copy the sentence, select the word, and receive an explanation. - Comprehensive Sentence Analysis: Offers explanations for entire sentences to enhance overall comprehension. - Lookup History: Saves previous lookups for future reference. - Cross-Device Synchronization: Syncs data between iOS and macOS devices for seamless access. - Export Options: Allows exporting of lookup history in Markdown or CSV formats. - Review Widget: Includes a widget that randomly presents past lookups for easy review. Primary Value: Context Word Lookup addresses the challenge of understanding words within specific contexts, a common hurdle in foreign language reading. By providing AI-generated explanations, it offers users immediate insights, enhancing reading comprehension and language learning efficiency. The app's intuitive design and integration with ChatGPT streamline the process of seeking contextual word meanings, making it an invaluable tool for language learners and avid readers.



**Who Is the Company Behind Guoc?**

- **Seller:** [Context Word Lookup](https://www.g2.com/sellers/context-word-lookup)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)






### 22. [Hello Nabu](https://www.g2.com/products/hello-nabu/reviews)
Hello Nabu is an AI-powered language learning platform designed to help users achieve real-world fluency through personalized, immersive storytelling. Unlike traditional language apps that rely on rote memorization, Hello Nabu offers context-rich scenarios tailored to individual goals, such as professional communication, travel, or everyday conversations. This approach ensures that learners acquire practical language skills applicable to their specific needs. Key Features and Functionality: - CEFR-Aligned Curriculum: Provides structured learning paths from A1 to C1 levels, offering clear progression and measurable goals. - Story-Based Learning: Engages users with realistic scenarios and conversations, making language practice both immersive and memorable. - AI-Powered Feedback: Delivers instant corrections and guidance on pronunciation, grammar, and vocabulary through an advanced AI tutor. - Personalized Learning Paths: Adapts to the learner's level, interests, and objectives, ensuring a customized educational experience. - Multi-Language Support: Offers courses in French, Spanish, German, English, Italian, Portuguese, and more. Primary Value and User Solutions: Hello Nabu addresses the limitations of generic language learning methods by focusing on practical, context-based instruction. By integrating AI-driven personalization and real-life scenarios, it equips users with the skills necessary for effective communication in various settings. This tailored approach accelerates the learning process, making it particularly beneficial for professionals, students, and anyone seeking to use a new language confidently in real-world situations.



**Who Is the Company Behind Hello Nabu?**

- **Seller:** [Hello Nabu](https://www.g2.com/sellers/hello-nabu)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/hello-nabu/ (76 employees on LinkedIn®)






### 23. [Honeybear](https://www.g2.com/products/honeybear/reviews)
Honeybear.ai is an AI-powered platform designed to revolutionize how users interact with dense documents and multimedia content. By enabling interactive engagement with PDFs and YouTube videos, it allows users to ask questions, extract key information, generate summaries, and create practice questions. The platform supports scanned documents through Optical Character Recognition (OCR) and provides detailed responses with precise citations, enhancing research and study efficiency. Emphasizing data security, Honeybear.ai employs robust encryption protocols to protect user documents, making it a trusted tool among students and researchers for academic and professional use. Key Features: - Interactive Document Chat: Engage directly with PDFs and YouTube videos by asking questions and receiving accurate, context-aware answers. - OCR Support for Scanned Documents: Process scanned and image-based PDFs to extract text, including complex content like equations and diagrams. - Detailed Responses with Citations: Obtain comprehensive answers referencing exact page numbers or video timestamps for easy source verification. - Multi-Format Support: Interact seamlessly with large documents and multimedia content, including PDFs and videos. - Secure Data Handling: Utilize strong encryption protocols to protect user documents and ensure privacy compliance. - Note Generation and Practice Questions: Create notes and practice questions to deepen understanding and retention. Primary Value and Solutions: Honeybear.ai addresses the challenge of efficiently comprehending and analyzing extensive documents and multimedia content. By offering interactive engagement, precise information extraction, and robust security measures, it enhances productivity for students, researchers, and professionals dealing with complex materials. The platform's ability to handle various document formats and provide detailed, citation-backed responses makes it an invaluable tool for academic and professional endeavors.



**Who Is the Company Behind Honeybear?**

- **Seller:** [Honeybear.ai](https://www.g2.com/sellers/honeybear-ai)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)






### 24. [IBM Watson NLP Library for Embed](https://www.g2.com/products/ibm-watson-nlp-library-for-embed/reviews)
Introducing IBM Watson NLP Library for Embed, a containerized library designed to empower IBM partners with greater flexibility to infuse powerful natural language AI into their solutions. It combines the best of open source and IBM® Research® NLP algorithms to deliver superior AI capabilities developers can access and integrate into their apps in the environment of their choice. Offered to partners as embeddable AI, a first of its kind software portfolio that offers best of breed AI from IBM.



**Who Is the Company Behind IBM Watson NLP Library for Embed?**

- **Seller:** [IBM](https://www.g2.com/sellers/ibm)
- **Year Founded:** 1911
- **HQ Location:** Armonk, New York, United States
- **Twitter:** @IBMSecurity (74,660 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1009/ (328,202 employees on LinkedIn®)
- **Ownership:** SWX:IBM






### 25. [Itextmaster](https://www.g2.com/products/itextmaster/reviews)
iTextMaster is an AI-driven text analysis, summarization, and chat tool designed to enhance user interaction with PDF documents and web content. Leveraging advanced natural language processing technologies, it enables users to communicate with any PDF or webpage anytime, anywhere. Key Features and Functionality: - Chat with PDF: Users can upload local or online PDF documents and engage in natural language conversations to extract information or answer questions from large files such as manuals, papers, legal contracts, books, or research papers. - Web Chat: By entering a webpage address, iTextMaster retrieves and parses the content, allowing users to interact with and analyze webpage information efficiently. - Smart Chat: The tool generates common questions about documents, enabling users to quickly obtain essential information. Users can also pose specific questions to delve deeper into document content, receiving intelligent answers. - Intelligent Processing: iTextMaster creates a semantic index for each paragraph in a document, ensuring accurate and contextually relevant responses to user queries. Primary Value and User Solutions: iTextMaster streamlines the process of extracting and understanding information from extensive documents and web pages. By facilitating natural language interactions, it saves users time and effort, enhancing productivity in both personal and professional settings. Whether for academic research, legal analysis, or general information retrieval, iTextMaster provides a reliable and intelligent assistant for efficient document processing.



**Who Is the Company Behind Itextmaster?**

- **Seller:** [iTextMaster](https://www.g2.com/sellers/itextmaster)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)







## What Is Natural Language Understanding (NLU) Software?

[Natural Language Processing (NLP) Software](https://www.g2.com/categories/natural-language-processing-nlp)



---

## How Do You Choose the Right Natural Language Understanding (NLU) Software?

### What You Should Know About Natural Language Understanding Software

### What is Natural Language Understanding Software?

Natural language understanding, a subset of natural language processing (NLP), makes predictions or decisions based on text data. These learning algorithms can be embedded within applications to provide automated artificial intelligence (AI) features. A connection to a data source is necessary for the algorithm to learn and adapt over time. 

Pulling out actionable insights from numerical data housed in ERP systems, CRM software, or accounting software is one thing, but gaining insights from unstructured data sources is invaluable. Without dedicated software for this task, businesses must spend significant time and resources building natural language understanding models or haphazardly investigating the data.

These algorithms may be developed with supervised learning or unsupervised learning. Supervised learning involves training an algorithm to determine a pattern of inference by feeding it consistent data to produce a repeated, general output. Human training is necessary for this type of learning. Unsupervised algorithms independently reach an output and are a feature of deep learning algorithms. Reinforcement learning is the final form of machine learning, which consists of algorithms that understand how to react based on their situation or environment.

End users of intelligent applications may not be aware that an everyday software tool utilizes a machine learning algorithm to provide automation of some kind. Additionally, machine learning solutions for businesses may come in a machine learning as a service (MLaaS) model.

**What Does NLU Stand For?**

NLU stands for Natural Language Understanding, which is a subset of natural language processing (NLP).

#### What Types of Natural Language Understanding Software Exist?

Natural language understanding, at its core, allows machines to understand human language in spoken or written form. There are two key methods this can be accomplished.

**Machine learning-based systems**

Machine learning algorithms use statistical methods. They learn to perform tasks based on training data they are fed and adjust their methods as more data is processed. Using a combination of machine learning, deep learning, and neural networks, natural language processing algorithms hone their own rules through repeated processing and learning.

**Rules-based systems**

This system uses carefully designed linguistic rules. This approach was used early in the development of natural language processing and is still used.

### What are the Common Features of Natural Language Understanding Software?

The following are some core features within natural language understanding software that can help users better understand text data:

**Part-of-speech (POS) tagging:** With POS tagging, users can parse text by parts of speech. This can help break down sentences into component parts to understand them.

**Named entity recognition (NER):** Sentences are comprised of various entities, from street names to surnames, places, and more. With NER, one can extract these entities. These extracted entities can then be fed into other systems automatically.

**Sentiment analysis:** Language can be positive, negative, or neutral. Using sentiment analysis techniques, one can input text and be given the sentiment (positive or negative) of that text.

**Emotion detection:** Similar to sentiment analysis, emotion detection can detect the emotion of human language, whether written or spoken. Despite the research supporting it, this method has come under scrutiny, and its veracity has been challenged.

### What are the Benefits of Natural Language Understanding Software?

Natural language understanding is useful in many different contexts and industries.

**Application development:** NLU drives the development of AI applications that streamline processes, identify risks, and improve effectiveness.

**Efficiency:** NLU-powered applications are constantly improving because of the recognition of their value and the need to stay competitive in the industries in which they are used. They also increase the efficiency of repeatable tasks. A prime example of this can be seen in eDiscovery, where machine learning has created massive leaps in the efficiency with which legal documents are looked through, and relevant ones are identified.

**Scalability:** Humans are great at analysis, but their analysis skills can break down when the amount of data is vast and when they need to produce results in record time. NLU-powered technology does not get stressed, pressured, or tired. It can analyze a (relatively) small amount of data or a large text corpus with ease, speed, and accuracy. This can be scaled across a business’ text datasets and various use cases.

**Discovering trends:** NLU can do a great job at finding trends and patterns in text data. Through word clouds, graphs and charts, and more, NLU can provide users with deep insight into what is happening beneath the surface.

**Empowering non-technical users:** Much NLU technology in the market is no-code or low-code, which allows non-technical users to benefit from the technology. Gone are the days when one needed to go to a data scientist or IT professional to understand language data.

### Who Uses Natural Language Understanding Software?

NLU has applications across nearly every industry. Some industries that benefit from NLU applications include financial services, cybersecurity, recruiting, customer service, energy, and regulation.

**Marketing:** NLU-powered marketing applications help marketers identify content trends, shape content strategy, and personalize marketing content. 

**Finance:** Financial services institutions are increasing their use of NLU-powered applications to stay competitive with others in the industry who are doing the same. Some examples may include trawling through thousands of insurance claims and identifying ones with a high potential to be fraudulent. The process is similar, and the machine learning algorithm can digest the data to achieve the desired outcome quicker.

**Human resources:** Resumes are long and filled with words. As such, natural language understanding technology can help recruiters comb through large amounts of resumes and other text data to better understand candidates.

### What are the Alternatives to Natural Language Understanding Software?

Alternatives to natural language understanding software can replace this type of software, either partially or completely:

[Machine learning software](https://www.g2.com/categories/machine-learning#learn-more) **:** Natural language understanding (NLU) software is specifically connected to and used for text data. If one is looking for more general-use machine learning algorithms, machine learning software would be a good category to pursue.

[Text analysis software](https://www.g2.com/categories/text-analysis#learn-more) **:** NLU software is geared toward incorporating NLU capabilities into other applications or systems. Text analysis software, however, is an all-purpose solution built to analyze any text data. Businesses looking to focus on analyzing their text data, such as from surveys, review sites, social media, and customer service tools, can leverage text analysis software to achieve this goal. This software enables businesses to consolidate and analyze their text data within a single platform. 

#### Software Related to Natural Language Understanding Software

Related solutions that can be used together with natural language understanding software include:

[Chatbots software](https://www.g2.com/categories/chatbots) **:** Businesses looking for an off-the-shelf conservational AI solution can leverage chatbots. Tools specifically geared toward chatbot creation helps companies use chatbots off the shelf, with little to no development or coding experience necessary.

[Bot platforms software](https://www.g2.com/categories/bot-platforms) **:** Companies looking to build their own chatbot can benefit from bot platforms, which are tools used to build and deploy interactive chatbots. These platforms provide development tools such as frameworks and API toolsets for customizable bot creation.

[Intelligent virtual assistants (IVAs)](https://www.g2.com/categories/intelligent-virtual-assistants) **:** Businesses that want conversational AI with strong natural language understanding capabilities should consider IVAs. IVAs understand a range of different intents from a singular utterance and can even understand responses they are not explicitly programmed to using natural language processing (NLP). With the use of machine learning and deep learning, IVAs can grow intelligently and understand a wider vocabulary and colloquial language, as well as provide more precise and correct responses to requests.

### Challenges with Natural Language Understanding Software

Software solutions can come with their own set of challenges. 

**Data preparation:** A potential concern is preparing the data to be ingested by the NLU tool. The data needs to be stored properly, whether that is in a database or data warehouse. Users may require IT or a dedicated admin to ensure the text analytics tool can consume the data.

**Automation pushback:** One of the biggest potential issues with machine learning-powered applications, such as NLU, lies in removing humans from processes. This is particularly problematic when looking at emerging technologies like self-driving cars. By completely removing humans from the product development lifecycle, machines are given the power to decide in life-or-death situations.

**Data security:** Companies must consider security options to ensure the correct users see the correct data. They must also have security options that allow administrators to assign verified users different levels of access to the platform.

### Which Companies Should Buy Natural Language Understanding Software?

Pattern recognition can help businesses across industries. Effective and efficient predictions can help these businesses make data-informed decisions, such as dynamic pricing based upon a range of data points.

**Retail:** An e-commerce site can leverage an NLU application programming interface (API) to create rich, personalized experiences for every user.

**Entertainment:** Media organizations can leverage NLU to comb through their scripts and other content to catalog and categorize their material.

**Finance:** Financial institutions can analyze contracts and conduct sentiment analysis and named entity recognition to better understand these documents and to scale operations.

### How to Buy Natural Language Understanding Software

#### Requirements Gathering (RFI/RFP) for Natural Language Understanding Software

If a company is just starting out and looking to purchase their first NLU software, wherever they are in the buying process, g2.com can help select the best machine learning software for them.

Taking a holistic overview of the business and identifying pain points can help the team create a checklist of criteria. The checklist serves as a detailed guide that includes both necessary and nice-to-have features, including budget, features, number of users, integrations, security requirements, cloud or on-premises solutions, and more. Depending on the scope of the deployment, it might be helpful to produce an RFI, a one-page list with a few bullet points describing what is needed from a machine learning platform.

#### Compare Natural Language Understanding Software Products

**Create a long list**

From meeting the business functionality needs to implementation, vendor evaluations are an essential part of the software buying process. For ease of comparison, after the demos are complete, it helps to prepare a consistent list of questions regarding specific needs and concerns to ask each vendor.

**Create a short list**

From the long list of vendors, it is advisable to narrow down the list of vendors and come up with a shorter list of contenders, preferably no more than three to five. With this list in hand, businesses can produce a matrix to compare the features and pricing of the various solutions.

**Conduct demos**

To ensure the comparison is thoroughgoing, the user should demo each solution on the shortlist with the same use case and datasets. This will allow the business to evaluate like for like and see how each vendor stacks up against the competition.

#### Selection of Natural Language Understanding Software

**Choose a selection team**

Before getting started, it's crucial to create a winning team that will work together throughout the entire process, from identifying pain points to implementation. The software selection team should consist of members of the organization who have the right interest, skills, and time to participate in this process. A good starting point is to aim for three to five people who fill roles such as the main decision maker, project manager, process owner, system owner, or staffing subject matter expert, as well as a technical lead, IT administrator, or security administrator. In smaller companies, the vendor selection team may be smaller, with fewer participants multitasking and taking on more responsibilities.

**Negotiation**

Prices on a company's pricing page are not always fixed (although some companies will not budge). It is imperative to open up a conversation regarding pricing and licensing. For example, the vendor may be willing to give a discount for multi-year contracts or for recommending the product to others.

**Final decision**

After this stage, and before going all in, it is recommended to roll out a test run or pilot program to test adoption with a small sample size of users. If the tool is well used and well received, the buyer can be confident that the selection was correct. If not, it might be time to go back to the drawing board.

### What Does Natural Language Understanding Software Cost?

NLU software is generally available in different tiers, with the more entry-level solutions costing less than the enterprise-scale ones. The former will usually lack features and may have caps on usage. Vendors may have tiered pricing, in which the price is tailored to the users’ company size, the number of users, or both. This pricing strategy may come with some degree of support, either unlimited or capped at a certain number of hours per billing cycle.

Once set up, they do not often require significant maintenance costs, especially if deployed in the cloud. As these platforms often come with many additional features, businesses looking to maximize the value of their software can contract third-party consultants to help them derive insights from their data and get the most out of the software.

#### Return on Investment (ROI)

Businesses decide to deploy machine learning software with the goal of deriving some degree of ROI. As they are looking to recoup the losses that they spent on the software, it is critical to understand the costs associated with it. As mentioned above, these platforms typically are billed per user, which is sometimes tiered depending on the company size. 

More users will naturally translate into more licenses, which means more money. Users must consider how much is spent and compare that to what is gained, both in terms of efficiency as well as revenue. Therefore, businesses can compare processes between pre- and post-deployment of the software to better understand how processes have been improved and how much time has been saved. They can even produce a case study (either for internal or external purposes) to demonstrate the gains they have seen from their use of the platform.

### Natural Language Understanding Software Trends

**Automation**

With the adoption of NLU and the automation of repetitive tasks, businesses can deploy their human workforce to more creative projects. For example, if a machine learning algorithm automatically displays personalized advertisements based on a user’s text, the human marketing team can work on producing creative material.

**Voice technology**

Voice is a primal method of interacting with others. It is only natural that we now converse with our machines using our voice and that the platforms for said voicebots have seen great success. Voice makes technology feel more human and allows people to trust it more. Voice will prove to be a crucial natural interface that mediates human communication and relationships with devices within an AI-powered world.

**Artificial intelligence (AI)**

AI is quickly becoming a promising feature of many, if not most, types of software. With machine learning, end users can identify patterns in data, allowing them to make sense of content and help them understand what they are seeing. This pattern recognition is fueling the rise of more powerful, contextually-aware chatbots.