# Best Data Science and Machine Learning Platforms - Page 11

## How Many Data Science and Machine Learning Platforms Products Does G2 Track?

**Total Products under this Category:** 1,043

### Category Stats (Aug 2026)

- **Average Rating:** 4.46/5 (↑0.01 vs Jul 2026) The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** FalkorDB (+5.88%) - Among all products in this category, FalkorDB recorded the largest rating increase compared to last month

_Last updated: August 01, 2026_

## How Does G2 Rank Data Science and Machine Learning Platforms Products?

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

- 30 Analysts and Data Experts
- 14,300+ Authentic Reviews
- 1,043+ 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.

## G2 Grid® for Data Science and Machine Learning Platforms
 ![G2 Grid® for Data Science and Machine Learning Platforms plotting products by satisfaction and market presence](https://www.g2.com/categories/data-science-and-machine-learning-platforms/grids.png?focus%5B%5D=10470&focus%5B%5D=21469&focus%5B%5D=1327283&focus%5B%5D=67045&focus%5B%5D=10938&focus%5B%5D=1308796&focus%5B%5D=24457&focus%5B%5D=162504)

Highlighted products: Databricks, Gemini Enterprise Agent Platform, SAS Viya, Google Cloud AutoML, Snowflake, IBM watsonx.data, MATLAB, and Hex.

Underlying data: [Grid® JSON](https://www.g2.com/categories/data-science-and-machine-learning-platforms/grids.json?focus%5B%5D=databricks&focus%5B%5D=gemini-enterprise-agent-platform&focus%5B%5D=sas-sas-viya&focus%5B%5D=google-cloud-automl&focus%5B%5D=snowflake&focus%5B%5D=ibm-watsonx-data&focus%5B%5D=matlab&focus%5B%5D=hex-tech-hex)

**Sponsored**

### Cloudera

Cloudera is the only hybrid data and AI platform company that large organizations trust to bring AI to their data anywhere it lives. Unlike other providers, Cloudera delivers a consistent cloud experience that converges public clouds, on-prem data centers, and the edge, leveraging a proven open-source foundation. As the pioneer in big data, Cloudera empowers businesses to apply AI and assert control over 100% of their data, in all forms, improving security, governance, and real-time and predictive insights. The world’s largest brands across all industries rely on Cloudera to transform decision-making and ultimately boost bottom lines, safeguard against threats, and save lives. The Cloudera data and AI platform includes: Cloudera AI: Deploy and scale any AI model, anywhere. Cloudera brings compute to governed data where it lives for Private AI anywhere by design. Complete control, security, and governance of mission-critical data, models, agents, and inference ensure faster sovereign AI deployments. Cloudera Data-in-Motion: Make fast decisions from real-time data anywhere. Move data with any structure from any source to any destination seamlessly across hybrid environments, enabling in-the-moment business-critical decisions by processing and analyzing real-time data anywhere, from the edge to AI, as business happens. Cloudera Open Data Lakehouse: Process any data, anywhere, for actionable insights. Make smart decisions with an open data lakehouse powered by Apache Iceberg that delivers trusted, reliable, and unified data to fuel agents, AI applications, and analytics, improving collaboration, breaking silos, and simplifying sharing. Cloudera Unified Data Fabric: Unify security and governance across the entire data estate. Move beyond fragmented data management: Break down silos and connect disparate data sources intelligently and securely to provide a unified view of all organizational data and centralized end-to-end control across complex hybrid data environments.

[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list_llm&secure%5Bcategory_id%5D=692&secure%5Bchosen_at%5D=2026-08-13T01%3A23%3A56Z&secure%5Bdisplayable_resource_id%5D=692&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=692&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=1886&secure%5Bresource_id%5D=692&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fdata-science-and-machine-learning-platforms%3FhsCtaTracking%3De3fe859b-0d36-4cf8-85cf-2151a5747412%257C295512f9-dcaa-4c6c-947b-dcb8ceb611e3%26page%3D11&secure%5Btoken%5D=b362cb4f5c792892d59145789692d5f2cdf4979d10d05c7ea04ffec9a1bf807c&secure%5Burl%5D=https%3A%2F%2Fwww.cloudera.com%2Fproducts%2Fcloudera-data-platform%2Fcdp-demos.html%3Finternal_link%3Dp18%23get-started&secure%5Burl_type%5D=custom_url)

### [Macky](https://www.g2.com/products/macky/reviews)

Macky is the first AI business consulting platform that offers any organization an easy, non-prompt-based AI answers for any business question using OpenAI technology. Companies can reduce their basic consulting costs by 90% by using Macky. Plans start as low as $10 per month.

**Average Rating:** 5.0/5.0

**Total Reviews:** 1

#### Who Is the Company Behind Macky?

- **Seller:** [Kinetic Consultancy Services](https://www.g2.com/sellers/kinetic-consultancy-services)
- **Year Founded:** 2013
- **HQ Location:** Dubai, AE
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7028b37570b3196947306fbc0104e875cc6515bcf97f52e13b8990e1a1f7f5d1&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F6640547&secure%5Burl_type%5D=linkedin_company_website)  
8 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Small

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

**["A great tool for any business"](https://www.g2.com/survey_responses/macky-review-10393639)**

**Rating:** 5.0/5.0 stars

_— Joe T._

[Read full review](https://www.g2.com/survey_responses/macky-review-10393639)

### [MainlyAI platform](https://www.g2.com/products/mainlyai-platform/reviews)

All-purpose AI platform for Gen AI and beyond. It's best suited for rapid protoyping, yet offers Enterprise scalability. Low-code/full-code node-based solution, which means you can work and create AI solutions with minimal coding, yet have the flexibility to tweak, modify and build your own nodes. Endless possibilities!

**Average Rating:** 5.0/5.0

**Total Reviews:** 1

#### How Do G2 Users Rate MainlyAI platform?

- **Application:** 10.0/10 (Category avg: 8.5/10)
- **Managed Service:** 10.0/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 10.0/10 (Category avg: 8.2/10)

#### Who Is the Company Behind MainlyAI platform?

- **Seller:** [MainlyAI](https://www.g2.com/sellers/mainlyai)
- **Year Founded:** 2020
- **HQ Location:** Stockholm , SE
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=28bbdb6b4973d14c06b1f3211e8d33216d677ba7d0bebf6af25a29167cc1c0de&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fmainly-ai%2F&secure%5Burl_type%5D=linkedin_company_website)  
7 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Small

#### What Do G2 Reviewers Say About MainlyAI platform?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **exceptional customer support** from MainlyAI, enhancing their experience with customizable options and pipelines.
- Users value the **flexibility** of MainlyAI, appreciating customizable pipelines and extensive support options from staff.
- Users value the **model variety** in MainlyAI, appreciating the customizable pipelines and extensive configurable options.

##### Cons

- Users find the **insufficient learning resources** on MainlyAI challenging, wishing for more concise documentation to aid their experience.

#### What Are Recent G2 Reviews of MainlyAI platform?

**["feels like a glimpse into the future"](https://www.g2.com/survey_responses/mainlyai-platform-review-10340748)**

**Rating:** 5.0/5.0 stars

_— Verified User in Primary/Secondary Education_

[Read full review](https://www.g2.com/survey_responses/mainlyai-platform-review-10340748)

### [Nivaris](https://www.g2.com/products/nivaris/reviews)

Nirvaris Host is a group of computer programmers, system administrators, web-designers and web-developers who got tired of all of the NONSENSE and non-performing hosting services that are out there around the world. They have extensive experience in developing websites and web-applications, as well as consuming hosting services. Working with a team that can really understand clients' problems and needs from the very first email you send, no non-sense questions are asked. Having been through some very bad experiences, the founder of Nirvaris Host, Software Engineer and full-stack developer Juliano Binder, decided to start a Web Hosting service on his own with the aim of offering a service like no other. The company uses servers with SSD drives only with the top specs we can get, limiting hosting data and the number of accounts for each server, which guarantees superior performance for your services. Hosting plans are designed to fit the needs of pro developers, webmasters, bloggers, business owners and the likes. As valued customers, you will have a full featured and well known CPanel, a friendly client area to manage your bills and everything unlimited.

**Average Rating:** 5.0/5.0

**Total Reviews:** 1

#### How Do G2 Users Rate Nivaris?

- **Application:** 10.0/10 (Category avg: 8.5/10)
- **Managed Service:** 10.0/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 8.3/10 (Category avg: 8.2/10)

#### Who Is the Company Behind Nivaris?

- **Seller:** [Nirvaris HOST](https://www.g2.com/sellers/nirvaris-host)
- **Year Founded:** 2015
- **HQ Location:** London, GB
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=70fd7b75c9c9dc46b111b5a3513515dce80a775acdfa445281f2ebd657ab6d01&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fnirvaris%2F&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Small

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

**["Simple yet Useful"](https://www.g2.com/survey_responses/nivaris-review-8734408)**

**Rating:** 5.0/5.0 stars

_— Vince M._

[Read full review](https://www.g2.com/survey_responses/nivaris-review-8734408)

### [OPUS](https://www.g2.com/products/vroc-opus/reviews)

OPUS is a leading industrial no-code AI platform that allows users to model processes and equipment to identify opportunities for optimization and predictive maintenance. OPUS's real-time insights allow your team to make informed business decisions at every step. Without any programming or coding experience teams can build models to: - Predict when the next failure of undesirable event will occur, - Predict what a value will be in the future, - Identify the root cause of an event, - Identify when equipment or process is degrading or not operating correctly, - Predict when equipment maintenance is required, - Identify opportunities to reduce power consumption, - Identify opportunities to improve productivity, - Optimize settings to improve operational outcomes. Dive deeper into your asset's data than ever before. Discover unexpected correlations that existed unnoticed, and root cause analysis down into individual component level, so you can focus your maintenance efforts. Designed as an enterprise solution, for a holistic view across all plants and facilities. Users can build their own dashboards, set up alerts and stay updated at all times, as macro or micro as they wish. OPUS can be deployed within four weeks and there are no limitations to the number of models you can develop, or individual user costs. Models can be built and deployed in minutes, refreshed based on live operational data continuously. These features allow you to unleash the power of your operational data and experience ROI in next to no time.

**Average Rating:** 3.8/5.0

**Total Reviews:** 2

#### How Do G2 Users Rate OPUS?

- **Application:** 6.7/10 (Category avg: 8.5/10)
- **Managed Service:** 3.3/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 8.3/10 (Category avg: 8.2/10)
- **Ease of Admin:** 10.0/10 (Category avg: 8.5/10)

#### Who Is the Company Behind OPUS?

- **Seller:** [VROC](https://www.g2.com/sellers/vroc)
- **Year Founded:** 2016
- **HQ Location:** East Perth, AU
- **Twitter:** @vrocai  
60 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=14c4a3e878e970e2d1b1316844c0c0177857143d9ed4d9f75745d1dcfe7512e7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fvroc-artificial-intelligence&secure%5Burl_type%5D=linkedin_company_website)  
12 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 50% Large, 50% Small

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

**["Opus for state inspections."](https://www.g2.com/survey_responses/opus-review-10732075)**

**Rating:** 4.0/5.0 stars

_— Joe G._

[Read full review](https://www.g2.com/survey_responses/opus-review-10732075)

### [PaddlePaddle](https://www.g2.com/products/paddlepaddle/reviews)

An open-source deep learning platform with a simple API, trusted by the world's leading AI teams

**Average Rating:** 4.5/5.0

**Total Reviews:** 1

#### How Do G2 Users Rate PaddlePaddle?

- **Managed Service:** 10.0/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 10.0/10 (Category avg: 8.2/10)

#### Who Is the Company Behind PaddlePaddle?

- **Seller:** [SaaSy Sales Management](https://www.g2.com/sellers/saasy-sales-management-0b57fef2-87f9-43e2-9e4d-07cbe5101e7d)
- **HQ Location:** N/A
- **Twitter:** @PaddleHQ  
17,970 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Large

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

**["PaddlePaddle will make your life easier"](https://www.g2.com/survey_responses/paddlepaddle-review-6971347)**

**Rating:** 4.5/5.0 stars

_— George B._

[Read full review](https://www.g2.com/survey_responses/paddlepaddle-review-6971347)

### [papAI](https://www.g2.com/products/papai/reviews)

A collaborative and scalable AI platform for end-to-end management of your data projects. Collect, cleanse, analyze and deploy your predictive models.

**Average Rating:** 2.5/5.0

**Total Reviews:** 1

#### Who Is the Company Behind papAI?

- **Seller:** [Datategy](https://www.g2.com/sellers/datategy)
- **Year Founded:** 2016
- **HQ Location:** Puteaux, FR
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=2b3ae87fbbc7648c7cc649db5e2ec1131c0c669fc51b3953d62b291f644f05ef&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F10789282&secure%5Burl_type%5D=linkedin_company_website)  
40 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Small

### [Periodic Labs](https://www.g2.com/products/periodic-labs/reviews)

Periodic Labs develops artificial intelligence systems that simulate and predict the properties of materials using machine learning.

**Average Rating:** 5.0/5.0

**Total Reviews:** 1

#### Who Is the Company Behind Periodic Labs?

- **Seller:** [Periodic Labs](https://www.g2.com/sellers/periodic-labs)
- **Year Founded:** 2025
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=f7d6b33cb61c8d01f17bbe89d53eebda732e53e564f6db80e1074374dc3b0b43&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fperiodic-labs%2F&secure%5Burl_type%5D=linkedin_company_website)  
36 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Small

#### What Are Recent G2 Reviews of Periodic Labs?

**["Incredibly Sophisticated AI Agents"](https://www.g2.com/survey_responses/periodic-labs-review-13094997)**

**Rating:** 5.0/5.0 stars

_— Paulo Henrique O._

[Read full review](https://www.g2.com/survey_responses/periodic-labs-review-13094997)

### [Qwak](https://www.g2.com/products/qwak/reviews)

Qwak is a fully managed, accessible, and reliable AI Platform that contains everything you and your team need to build high-quality AI applications simply. The platform delivers a production focused approach that enables ML engineers and data science practitioners to deliver models into production faster than ever before.

**Average Rating:** 5.0/5.0

**Total Reviews:** 1

#### How Do G2 Users Rate Qwak?

- **Natural Language Understanding:** 8.3/10 (Category avg: 8.2/10)
- **Ease of Admin:** 10.0/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Qwak?

- **Seller:** [Qwak](https://www.g2.com/sellers/qwak)
- **Year Founded:** 2020
- **HQ Location:** New York, US
- **Twitter:** @Qwak\_ai  
204 Twitter followers
- **LinkedIn® Page:** [linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=5f3aaa7fecd8a9c8bc614fac081b936148d7d94dfd3709fadf51a58b45ad85ed&secure%5Burl%5D=https%3A%2F%2Flinkedin.com%2Fcompany%2Fqwakai&secure%5Burl_type%5D=linkedin_company_website)  
48 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Small

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

**["Qwak is the best solution we found to streamline our ML models to production quickly and easily"](https://www.g2.com/survey_responses/qwak-review-6538964)**

**Rating:** 5.0/5.0 stars

_— Ari S._

[Read full review](https://www.g2.com/survey_responses/qwak-review-6538964)

#### What Are G2 Users Discussing About Qwak?

- [What is Qwak used for?](https://www.g2.com/discussions/what-is-qwak-used-for)

### [Rayven](https://www.g2.com/products/rayven/reviews)

What is Rayven? Rayven is an operational software platform that delivers an AI data fabric - connecting every system, data source, and data stream across a business into a single managed environment, then letting teams build custom apps, AI agents, workflow automations, dashboards, and MCP servers for direct AI model connectivity on top. It is the platform for organisations that need to act on operational data in real-time, deploy AI that actually works in production + build software that fits the way their business operates - without replacing existing systems or waiting 18 months for results. The Problem Rayven Solves Most organisations already have the systems and data they need. The challenge is fragmentation. ERP systems, SCADA platforms, IoT devices, databases, cloud tools, and files all generate valuable data - but it sits in silos, impossible to act on in real-time. The result: manual reporting, disconnected workflows, and AI projects that fail before reaching production. Industry research shows 95% of AI projects never ship - most because the underlying data layer is not clean, connected, or ready. Rayven builds that foundation first, then activates it. The Rayven Platform Rayven operates across five unified layers, delivered as a single managed environment: - Integration: More than 600 pre-built connectors pull data from IT, OT, IoT, files, APIs, databases, and data streams - bidirectionally, in real-time. Connects industrial protocols (OPC UA, Modbus, MQTT, BACnet) alongside cloud platforms, business systems, and proprietary tools. - Data: All connected data lands in a single managed platform - structured, governed + AI-ready. Real-time processing, ETL pipelines, data lakes, and AI model training handled in one place. - Execution: Automation rules, predictive models + agentic AI run directly on live operational data. Rules-based logic, machine learning, and goal-seeking autonomous agents all operate in one execution environment. - Presentation: Custom apps, dashboards, portals, conversational interfaces, and mobile applications deployed from the same platform - built for specific workflows, not generic reporting. - Security, Governance + Hosting: Role-based access control, data lineage, audit trails, AES-256 encryption, data residency controls, and enterprise-grade infrastructure - included as standard. AI Capabilities Rayven includes ten native AI capabilities built directly into the platform: 1. Custom AI agents (goal-seeking, action-taking) 2. Predictive analytics and machine learning 3. Conversational analytics 4. Real-time and continuous model training 5. AI-led workflow automation 6. Multimodal processing (documents, video, images, audio) 7. Anomaly and risk detection 8. Forecasting and optimisation 9. Vision and edge AI inference 10. Generative operational summaries MCP server support enables direct connectivity for AI models including Claude, GPT, and others. What Gets Built Rayven customers build and deploy: - Custom operational apps and field applications. - AI agents that monitor conditions, detect anomalies + take corrective action autonomously. - Predictive maintenance and performance models running on live plant data. - Real-time dashboards and executive reporting tools. - Workflow automations spanning IT and OT systems. - Customer and partner portals. - Data pipelines and integration layers. - White-label software products delivered under partner brands. Key Differentiators vs. Point solutions (Zapier, MuleSoft, Power BI, DataRobot): point solutions do one thing well but force teams to stitch together five separate tools to cover integration, data, AI, presentation, and governance. Rayven replaces the stack. vs. Traditional enterprise platforms (SAP, Oracle, Palantir): enterprise platforms take 12-18 months and seven figures to implement. Rayven deploys in two to 12 weeks at fixed scope and fixed price. vs. Low-code app builders (Mendix, OutSystems): app builders handle the presentation layer but do not solve the underlying data and integration problem. Rayven covers the full stack. Technology Compatibility Rayven is fully technology-agnostic and works alongside existing systems: - Cloud platforms: Microsoft Azure, Google Cloud + AWS - Business systems: SAP, Salesforce, Oracle, and Microsoft 365 - OT platforms: Siemens, Rockwell, Schneider Electric, and Ignition - Industrial protocols: OPC UA, Modbus, MQTT, BACnet, and EtherNet/IP - IoT devices: any device with a data output - Custom and proprietary systems via API, webhook, or direct connector Nothing needs to be replaced. Every existing investment is preserved. Who Uses Rayven Rayven serves businesses from growth-stage to large enterprise across 24+ industries globally - manufacturing, mining, construction, infrastructure, logistics, utilities, financial services, healthcare, agriculture, government, and more. Customers across Australia, Europe, North America, South America, and Africa. Named customers include Anglo American, Fulton Hogan, Glencore, Vodafone, NSW Ports, CSIRO, Collective Intelligence, Ramjack, and AngloGold Ashanti. Delivery Options - DIY: Full platform access. Internal teams build and deploy independently. - Done-For-You: Australia-based delivery team. Fixed scope, fixed price, two to 12 weeks from brief to go-live. - Hybrid: Guided delivery first, with the customer's team taking increasing ownership over time. By the Numbers - More than 600 pre-built connectors. - Ten native AI capabilities. - More than 240 deployments live globally. - Rated 5/5 across more than 140 independent reviews. - Deploys 66% faster than traditional development. - Two to 12 weeks to first working solution. - Rayven exists to close the gap: 95% of AI projects never reach production (industry average).

**Average Rating:** 4.9/5.0

**Total Reviews:** 29

#### Who Is the Company Behind Rayven?

- **Seller:** [Rayven](https://www.g2.com/sellers/rayven)
- **Year Founded:** 2016
- **HQ Location:** Sydney, AU
- **Twitter:** @RayvenIOT  
56 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=1d006407e153419f0571c4dc74bc360e0abc0d6d0be9334a3fff870a267b0972&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Frayveniot%2F&secure%5Burl_type%5D=linkedin_company_website)  
33 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Retail
- **Company Size:** 69% Medium, 52% Small

#### What Do G2 Reviewers Say About Rayven?

_AI-generated summary from verified user reviews_

##### Pros

- Users commend Rayven's **ease of use** , highlighting effortless automation and streamlined integration through intuitive drag-and-drop features.
- Users appreciate Rayven's **robust handling of large-scale data** and advanced AI capabilities, enhancing operational efficiency and flexibility.
- Users praise Rayven for its **exceptional automation** capabilities, significantly streamlining data workflows and enhancing operational efficiency.
- Users appreciate Rayven's **customization capabilities** , allowing tailored solutions that enhance integration and streamline operations efficiently.
- Users appreciate Rayven's **robust data management** , enabling real-time processing and integration across complex systems with ease.

##### Cons

- Users find the **learning curve steep** initially, requiring time and guidance to fully grasp all features.
- Users find **difficult learning** curves with Rayven's features, requiring time and guidance for smoother onboarding experiences.
- Users experience a **steep learning curve** initially, requiring time and additional resources to fully understand the platform.
- Users find the **complex setup** challenging, especially with advanced features and multi-site deployments requiring careful planning.
- Users note the **setup complexity** of Rayven, requiring assistance for advanced integrations and lengthy initial configurations.

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

**["Seamless Automation and Predictive Maintenance with Rayven"](https://www.g2.com/survey_responses/rayven-review-12211094)**

**Rating:** 5.0/5.0 stars

_— Keith N._

[Read full review](https://www.g2.com/survey_responses/rayven-review-12211094)

**["Rayven's Low-Code Platform is the Fastest Way to Build and Scale Intelligent Apps"](https://www.g2.com/survey_responses/rayven-review-11780301)**

**Rating:** 5.0/5.0 stars

_— John M._

[Read full review](https://www.g2.com/survey_responses/rayven-review-11780301)

### [Razorthink AI Platform](https://www.g2.com/products/razorthink-ai-platform/reviews)

Razorthink AI Studio lets you visually build data transformation recipes, DL/ML/Hybrid models and end-to-end pipelines that ingest data from your enterprise environment and create intelligence feeding your business systems.

**Average Rating:** 4.0/5.0

**Total Reviews:** 1

#### Who Is the Company Behind Razorthink AI Platform?

- **Seller:** [Razorthink](https://www.g2.com/sellers/razorthink)
- **Year Founded:** 2015
- **HQ Location:** Redwood City, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=a7cfa54eda1dfc583d6e2b05d920fb21b31517b66771375e84d0be8b7a36818a&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Frazorthink%2F&secure%5Burl_type%5D=linkedin_company_website)  
40 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Large

#### What Do G2 Reviewers Say About Razorthink AI Platform?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **seamless AI integration** of Razorthink AI Platform, enhancing accessibility and insights for their businesses.
- Users appreciate the **easy integrations** of Razorthink AI Platform, enabling seamless connections with their existing systems.
- Users value the **intuitive user interface** of Razorthink AI Platform, making complex ML accessible to everyone.
- Users value the **powerful AI-driven insights** of Razorthink AI Platform, making machine learning accessible and intuitive.
- Users appreciate the **intuitive training** offered by Razorthink AI Platform, making complex ML accessible and easy to understand.

##### Cons

- Users find it **difficult to learn** Razorthink AI Platform, particularly for those without technical backgrounds needing training.
- Users find it difficult to navigate the platform due to a **steep learning curve** for non-technical individuals.

#### What Are Recent G2 Reviews of Razorthink AI Platform?

**["Powerful and Scalable: A Review of the Razorthink AI Platform's Strengths and Challenges"](https://www.g2.com/survey_responses/razorthink-ai-platform-review-10745422)**

**Rating:** 4.0/5.0 stars

_— Bhavya S._

[Read full review](https://www.g2.com/survey_responses/razorthink-ai-platform-review-10745422)

### [Sage AI](https://www.g2.com/products/sage-ai/reviews)

Sage AI is an advanced artificial intelligence solution designed to enhance financial and accounting operations by automating routine tasks, detecting errors, and providing actionable insights. Built upon over 40 years of accounting expertise, Sage AI integrates seamlessly into business workflows, enabling organizations to boost productivity, drive growth, and make informed decisions. Key Features and Functionality: - Automation of Routine Tasks: Sage AI streamlines processes such as invoice processing and month-end close activities, significantly reducing manual effort and processing time. - Error Detection: The system proactively identifies anomalies and errors within financial data, ensuring accuracy and compliance. - Real-Time Insights: By continuously monitoring financial data, Sage AI provides real-time business insights and proactive suggestions to drive growth. - Sage Copilot: An AI-powered finance assistant that accelerates close cycles, reconciles ledgers instantly, spots trends and variances, and delivers fast, accurate answers to financial queries. Primary Value and Solutions Provided: Sage AI empowers finance teams to enhance efficiency and accuracy by automating repetitive tasks and providing data-driven insights. This allows businesses to focus on strategic initiatives, make faster and smarter decisions, and drive overall growth. By integrating AI into financial workflows, Sage AI helps organizations reduce manual errors, improve compliance, and achieve higher productivity.

**Average Rating:** 4.0/5.0

**Total Reviews:** 1

#### Who Is the Company Behind Sage AI?

- **Seller:** [Sage Software](https://www.g2.com/sellers/sage-software-d61a780c-4fb3-4781-9519-baa772f5ea91)
- **Year Founded:** 1981
- **HQ Location:** Newcastle
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=86f239d02fadcee5a4a98d333eece19ed93d313e880a1b86e6451872bfa2360c&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F2802%2F&secure%5Burl_type%5D=linkedin_company_website)  
15,579 employees on LinkedIn®
- **Ownership:** SGE.L
- **Phone:** +1 (866) 996-7243

#### Who Uses This Product?

- **Company Size:** 200% Medium

#### What Do G2 Reviewers Say About Sage AI?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **automation capabilities** of Sage AI, which enhance efficiency and streamline complex tasks effectively.
- Users value the **ease of use** of Sage AI, benefiting from its automation and seamless integration into workflows.
- Users value the **easy integrations** of Sage AI, enhancing workflows and streamlining complex tasks efficiently.
- Users value the **accuracy and speed** of Sage AI, enhancing their workflow with reliable, structured insights.
- Users value the **accuracy and speed** of Sage AI, greatly enhancing their problem-solving efficiency and workflow integration.

##### Cons

- Users experience occasional **filtering issues** during peak hours, requiring refinement for specialized queries, though minor overall.
- Users note occasional **slow performance** during peak hours, impacting response speed for specialized queries.

#### What Are Recent G2 Reviews of Sage AI?

**["Sage Copilot Makes Financial Data Easy to Understand"](https://www.g2.com/survey_responses/sage-ai-review-12458787)**

**Rating:** 4.0/5.0 stars

_— CHAKIT K._

[Read full review](https://www.g2.com/survey_responses/sage-ai-review-12458787)

### [Sensetime](https://www.g2.com/products/sensetime/reviews)

Committed to the development of innovative artificial intelligence technology, making positive contributions to economic, social and human development.

**Average Rating:** 4.5/5.0

**Total Reviews:** 1

#### Who Is the Company Behind Sensetime?

- **Seller:** [Sensetime](https://www.g2.com/sellers/sensetime)
- **HQ Location:** Hong Kong ,SAR
- **Twitter:** @SenseTime\_AI  
4,359 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8f020845c7fe5593ced6369afb21dccdb0a398466c596efdd6bf223de7216386&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsensetime-group-limited%2F&secure%5Burl_type%5D=linkedin_company_website)  
2,096 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Medium

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

**["Smart Sensetime"](https://www.g2.com/survey_responses/sensetime-review-8769246)**

**Rating:** 4.5/5.0 stars

_— Suganth T._

[Read full review](https://www.g2.com/survey_responses/sensetime-review-8769246)

### [Singular Intelligence](https://www.g2.com/products/singular-intelligence/reviews)

The Singular Intelligence AI platform is designed for business teams and for insight teams, that operate in the CPG / FMCG, Consumer Goods, Food & Drink, Beauty, Home Care products space.

**Average Rating:** 3.5/5.0

**Total Reviews:** 1

#### How Do G2 Users Rate Singular Intelligence?

- **Application:** 8.3/10 (Category avg: 8.5/10)
- **Managed Service:** 6.7/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 10.0/10 (Category avg: 8.2/10)

#### Who Is the Company Behind Singular Intelligence?

- **Seller:** [Singular Intelligence](https://www.g2.com/sellers/singular-intelligence)
- **Year Founded:** 2014
- **HQ Location:** Canary Wharf, GB
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=34e6fdb6cf252af12fcdc8810240056201ac65f0173b51689bdee9f0dc1b58ec&secure%5Burl%5D=http%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsingular-intelligence-limited&secure%5Burl_type%5D=linkedin_company_website)  
7 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Medium

#### What Do G2 Reviewers Say About Singular Intelligence?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **analysis efficiency** of Singular Intelligence, benefiting from insightful consumer behavior trends and data cleaning.
- Users are impressed by the **data access capabilities** of Singular Intelligence, enhancing sales and marketing analysis significantly.
- Users are impressed by the **powerful features** of Singular Intelligence for effective sales and marketing data analysis.

##### Cons

- Users note the **limited customization** of Singular Intelligence, restricting its application to specific industries like CPG/FMCG.

### [Skyl.ai Platform](https://www.g2.com/products/skyl-ai-platform/reviews)

Skyl is an incredible unified platform that simplifies the end-to-end implementation of Machine learning through easy to use guided modules. It allows you to tackle your core business problem and derive successful models with least amount of time and cost.

**Average Rating:** 4.0/5.0

**Total Reviews:** 1

#### How Do G2 Users Rate Skyl.ai Platform?

- **Application:** 6.7/10 (Category avg: 8.5/10)
- **Managed Service:** 10.0/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 6.7/10 (Category avg: 8.2/10)

#### Who Is the Company Behind Skyl.ai Platform?

- **Seller:** [Skyl](https://www.g2.com/sellers/skyl)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Small

#### What Do G2 Reviewers Say About Skyl.ai Platform?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** of Skyl.ai Platform, streamlining the entire ML process from data preparation to deployment.
- Users value the **fast processing** of Skyl.ai Platform, enabling swift model generation and streamlined ML workflows.
- Users find the **guided modules** of Skyl.ai Platform simplify the ML process, enhancing efficiency and model generation.
- Users value the **model variety** of Skyl.ai Platform, enabling quick generation of diverse models for critical tasks.
- Users find the **guided modules** of Skyl.ai Platform simplify the ML process, enabling quick and critical model generation.

##### Cons

- Users find the **limited collaboration features** of Skyl.ai Platform hinder effective teamwork and project integration.
- Users often find the **lack of collaboration features** on Skyl.ai Platform limits effective teamwork and project sharing.

#### What Are Recent G2 Reviews of Skyl.ai Platform?

**["Useful for my individual data science process"](https://www.g2.com/survey_responses/skyl-ai-platform-review-10292141)**

**Rating:** 4.0/5.0 stars

_— Kenneth C._

[Read full review](https://www.g2.com/survey_responses/skyl-ai-platform-review-10292141)

### [Strique](https://www.g2.com/products/strique/reviews)

Strique is an AI-powered analytics and reporting platform designed to streamline marketing operations for e-commerce brands and agencies. By consolidating data from multiple advertising platforms into a single, intuitive dashboard, Strique enables users to monitor campaigns, manage product catalogs, and automate reporting processes efficiently. This unified approach allows marketers to make data-driven decisions that enhance return on ad spend (ROAS) and overall campaign performance. Key Features and Functionality: - Unified Dashboard: Integrates data from platforms such as Meta Ads, Google Ads, TikTok Ads, and Google Analytics, providing a comprehensive view of marketing performance. - AI-Powered Insights: Delivers actionable recommendations by analyzing campaign data, helping identify underperforming areas and suggesting optimizations. - Customizable Reporting: Offers personalized reports tailored to specific business needs, with features like drag-and-drop widgets, theme customization, and various data visualization options. - Catalog Optimization: Automates product feed management, ensuring accurate and up-to-date listings across advertising platforms, thereby improving product visibility and reducing wasted ad spend. - Seamless Integrations: Supports connections with e-commerce platforms like Shopify and Magento, facilitating smooth data synchronization and management. Primary Value and User Solutions: Strique addresses the common challenges faced by e-commerce marketers, such as fragmented data sources, time-consuming manual reporting, and inefficient campaign management. By centralizing data and automating analytical processes, Strique empowers users to: - Save significant time previously spent on manual data compilation and analysis. - Gain clear, actionable insights that drive smarter marketing decisions. - Optimize advertising budgets by identifying and focusing on high-performing campaigns and products. - Enhance collaboration within teams through shared, customizable reports and dashboards. In essence, Strique simplifies complex marketing workflows, enabling e-commerce businesses to scale efficiently and achieve better financial outcomes.

**Average Rating:** 4.5/5.0

**Total Reviews:** 1

#### Who Is the Company Behind Strique?

- **Seller:** [Strique](https://www.g2.com/sellers/strique)
- **HQ Location:** Mumbai, IN
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=81405edba2a4e3eeabf0d03892c863d83f4c1597fbc873c23916bbe5208800c4&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fstrique%2F&secure%5Burl_type%5D=linkedin_company_website)  
34 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Small

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

**["Strique Makes Meta Ads Simple with an Easy Chat-Based Interface"](https://www.g2.com/survey_responses/strique-review-12457530)**

**Rating:** 4.5/5.0 stars

_— Yash D._

[Read full review](https://www.g2.com/survey_responses/strique-review-12457530)

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[Browse Data Science and Machine Learning Platforms Themes](/categories/data-science-and-machine-learning-platforms/themes)

 ![Bijou Barry](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Bijou Barry")
BB

Researched and written by [Bijou Barry](https://research.g2.com/insights/author/bijou-barry)

Updated April 22, 2026

Data science and machine learning (DSML) platforms provide tools to build, deploy, and monitor machine learning (ML) algorithms by combining data with intelligent, decision-making models to support business solutions. These platforms may offer prebuilt algorithms and visual workflows for nontechnical users or require more advanced development skills for complex model creation.

Core capabilities of data science and machine learning (DSML) software

To qualify for inclusion in the Data Science and Machine Learning (DSML) Platforms category, a product must:

- Present a way for developers to connect data to algorithms so they can learn and adapt
- Allow users to create ML algorithms and offer prebuilt algorithms for novice users
- Provide a platform for deploying AI at scale

How DSML software differs from other tools

DSML platforms differ from traditional platform-as-a-service (PaaS) offerings by providing ML–specific functionality, such as prebuilt algorithms, model training workflows, and automated features that reduce the need for extensive data science expertise.

Insights from G2 Reviews on DSML software

According to G2 review data, users highlight the value of streamlined model development, ease of deployment, and options that support both nontechnical and advanced practitioners through visual interfaces or coding-based workflows.

Show More