Best Large Language Model Operationalization (LLMOps) Software - Page 4

How Many Large Language Model Operationalization (LLMOps) Software Products Does G2 Track?

Total Products under this Category: 298

Category Stats (Nov 2026)

  • Average Rating: 4.44/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Together.ai (+7.8%) - Among all products in this category, Together.ai recorded the largest rating increase compared to last month

Last updated: November 01, 2026

How Does G2 Rank Large Language Model Operationalization (LLMOps) Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 5,900+ Authentic Reviews
  • 298+ 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 Large Language Model Operationalization (LLMOps) Software

G2 Grid® for Large Language Model Operationalization (LLMOps) Software plotting products by satisfaction and market presence

Highlighted products: Gemini platform, Together.ai, IBM watsonx.ai, AWS Bedrock, Langchain, Microsoft Copilot, AutoGPT, and SuperAnnotate.

Underlying data: [Grid® JSON](https://www.g2.com/categories/large-language-model-operationalization-llmops/grids.json?focus%5B%5D=gemini-platform&focus%5B%5D=together-ai&focus%5B%5D=ibm-watsonx-ai&focus%5B%5D=aws-bedrock&focus%5B%5D=langchain&focus%5B%5D=microsoft-copilot-2026-08-27&focus%5B%5D=autogpt&focus%5B%5D=superannotate)

CalypsoAI

CalypsoAI brings together the top minds in the fields of data science, machine learning, and defense to create the leading-edge solutions for testing and validation.

Average Rating: 4.3/5.0

Total Reviews: 6

Who Is the Company Behind CalypsoAI?

  • Seller: F5
  • HQ Location: Seattle, Washington
  • LinkedIn® Page: www.linkedin.com
    6,247 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 83% Small, 17% Medium

What Do G2 Reviewers Say About CalypsoAI?

AI-generated summary from verified user reviews

Pros
  • Users find real-time security insights from CalypsoAI's Inference Observe platform invaluable for scaling their multimodal AI agents.
  • Users highlight the improved organizational efficiency and productivity that CalypsoAI offers while ensuring security.
  • Users find the scalability features of CalypsoAI's platform essential for managing their AI models effectively.
Cons
  • Users express concerns about the cost and potential job loss associated with implementing CalypsoAI solutions.
  • Users feel that CalypsoAI is expensive to implement, raising concerns about affordability and job displacement.

What Are Recent G2 Reviews of CalypsoAI?

Credal

AI security and governance platform with data integration and assisted workflow capabilities.

Average Rating: 4.8/5.0

Total Reviews: 2

Who Is the Company Behind Credal?

  • Seller: Credal
  • Year Founded: 2022
  • HQ Location: Brooklyn, US
  • LinkedIn® Page: www.linkedin.com
    16 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Medium, 50% Small

What Are Recent G2 Reviews of Credal?

Neysa Velocis

Neysa Velocis is a full-stack AI Acceleration Cloud - built for teams that build AI. It unifies your entire AI workflow, from training and fine-tuning to inference and deployment, in one system engineered for predictable performance, enterprise governance, and model security. - GPU-as-a-Service: Get access to NVIDIA B300, H200 SXM, H100 NVL, H100 SXM, L40S, L4, and AMD MI300X. Deploy as Virtual Machines, Managed Kubernetes Containers, or Bare Metal clusters. We offer them in reserved plans (12–36 month commit). - AI Platform-as-a-Service (AI PaaS): Pre-configured development environments: Jupyter, PyTorch, TensorFlow, Hugging Face, MLflow, Kubeflow Pipelines, Docker, and Git - ready to launch in minutes. Model registries, experiment tracking, CI/CD for ML, data lake creation, and DBaaS built in. - Inference-as-a-Service: Deploy open-source models (Llama, DeepSeek, Mistral, Qwen, Gemma, Mixtral) as managed inference endpoints. Custom APIs for OCR, NLP, Computer Vision, and real-time stream processing. Move from training to production with fewer handoffs. - Real-Time Monitoring: Unified observability dashboard with granular, real-time GPU utilization, disk, and NVMe metrics. Custom metrics configurable per workload. Aegis LLM Shield: Sits inline on every inference endpoint. Blocks prompt injection and jailbreaks, redacts PII in model outputs, enforces content policies, and covers OWASP LLM Top 10 risks - without changing your application code. Available as a native add-on. - AI Infrastructure Security: Zero-trust architecture. Granular RBAC by project, persona, and asset. BYOK with enterprise KMS support. Full audit logs, governance-ready and exportable. Certified and compliant by default. ISO/IEC 27001:2022, ISO 27017:2015, ISO 27018:2019, SOC2 Type II, IRDAI. Aligned to GDPR, HIPAA, India's DPDP Act, and PCI-DSS.

Average Rating: 5.0/5.0

Total Reviews: 3

Who Is the Company Behind Neysa Velocis?

  • Seller: Neysa
  • Year Founded: 2023
  • HQ Location: Mumbai, IN
  • LinkedIn® Page: www.linkedin.com
    140 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 67% Small, 33% Medium

What Are Recent G2 Reviews of Neysa Velocis?

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Progress Agentic RAG

Progress Agentic RAG is a specialized Software as a Service (SaaS) solution designed to assist businesses in automatically indexing various forms of unstructured data, including documents, files, videos, and audio. This innovative platform features a modular, end-to-end retrieval-augmented generation (RAG) pipeline that effectively transforms unstructured data into verifiable, context-aware answers. By integrating retrieval, validation, and automation into existing workflows, Progress Agentic RAG elevates generative AI from a standalone experiment to a reliable, integrated system that enhances productivity and return on investment (ROI). The modular RAG pipeline is a standout feature of Progress Agentic RAG, enabling rapid and flexible AI deployments without the need for extensive engineering resources. Its fully integrated no-code and low-code design allows users to easily implement ingestion, retrieval, and generation capabilities tailored to their specific needs. This adaptability makes it accessible to a wide range of users, from technical teams to business professionals seeking to leverage AI without deep technical expertise. Targeted at organizations looking to enhance their AI initiatives, Progress Agentic RAG employs advanced retrieval strategies to deliver precise, context-rich answers. With over 30 retrieval strategies, including semantic search, exact match, neighboring paragraph retrieval, and knowledge graph hops, users can access information that is not only accurate but also traceable to its source. This level of detail is crucial for businesses that require reliable data for decision-making and compliance purposes. Another key aspect of Progress Agentic RAG is its semantic chunking and smart segmentation capabilities. By breaking content into semantically coherent units, such as paragraphs or video segments, the solution preserves meaning and reduces noise, ultimately improving answer quality. This approach enhances retrieval accuracy and ensures that users receive contextually relevant information, which is vital in today’s data-driven landscape. Additionally, the platform’s source traceability and citation features build trust in AI-generated answers. By providing included metadata and direct citations, users can verify the origin of responses, supporting compliance and audit requirements. The LLM-agnostic architecture further enhances the solution's flexibility, allowing organizations to choose AI models based on performance, privacy, or budget without the need for retraining or reindexing. This versatility positions Progress Agentic RAG as a valuable tool for businesses seeking to harness the power of AI while maintaining control over their data and costs.

Average Rating: 5.0/5.0

Total Reviews: 2

Who Is the Company Behind Progress Agentic RAG?

  • Seller: Progress Software
  • Company Website:
  • Year Founded: 1981
  • HQ Location: Burlington, MA.
  • LinkedIn® Page: www.linkedin.com
    4,242 employees on LinkedIn®
  • Ownership: NASDAQ:PRGS

Who Uses This Product?

  • Company Size: 100% Large

What Are Recent G2 Reviews of Progress Agentic RAG?

AnythingLLM

AnythingLLM is a comprehensive AI desktop application designed to streamline interactions with large language models (LLMs) and various document types, all while maintaining full privacy and control over your data. By integrating multiple LLMs—including enterprise models like GPT-4, custom models, and open-source alternatives such as Llama and Mistral—AnythingLLM empowers users to chat with their documents and data in a secure, offline environment. Its user-friendly interface ensures that both technical and non-technical users can harness the power of AI without complex setups or coding requirements. Key Features and Functionality: - Multi-Model Support: Seamlessly switch between various LLMs, including enterprise-grade, custom-built, and open-source models, within a single application. - Versatile Document Handling: Interact with a wide range of document formats, such as PDFs, Word documents, CSV files, and codebases, enabling comprehensive data analysis. - Local Execution and Privacy: Operate entirely offline, ensuring that all data processing occurs locally on your device, thereby maintaining full privacy and security. - Customizable Agents and Tools: Enhance functionality with built-in AI agents and the ability to create custom tools, tailored to specific tasks and workflows. - User-Friendly Interface: Access advanced AI capabilities through a clean and intuitive interface, making it accessible to users of all technical backgrounds. - Cross-Platform Compatibility: Available for MacOS, Windows, and Linux, ensuring broad accessibility across different operating systems. Primary Value and User Solutions: AnythingLLM addresses the need for a secure, versatile, and user-friendly AI application that allows individuals and organizations to leverage the power of LLMs without compromising data privacy. By enabling local execution of AI models and supporting a wide array of document types, it facilitates efficient data analysis, enhances productivity, and empowers users to extract valuable insights from their documents. Whether for personal knowledge management, business intelligence, or academic research, AnythingLLM provides a robust solution that combines flexibility, privacy, and ease of use.

Average Rating: 5.0/5.0

Total Reviews: 1

Who Is the Company Behind AnythingLLM?

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of AnythingLLM?

Autoblocks

Autoblocks AI is a cloud-based workspace that enables product teams to collaboratively evaluate, test, and improve their GenAI/LLM products.

Average Rating: 4.5/5.0

Total Reviews: 4

Who Is the Company Behind Autoblocks?

Who Uses This Product?

  • Company Size: 50% Medium, 25% Small

What Do G2 Reviewers Say About Autoblocks?

AI-generated summary from verified user reviews

Pros
  • Users enjoy the easy collaboration enabled by Single-Sign On and the visual stats dashboard in Autoblocks.
  • Users find the ease of use enhanced by the SSO mechanism and user-friendly dashboard for collaboration.
  • Users value the user-friendly interface of Autoblocks, enhancing collaboration and providing clear visual stats for better insights.
Cons
  • Users express dissatisfaction with the limited access to live chat and email support, which requires a specific plan.

What Are Recent G2 Reviews of Autoblocks?

Backplain

Backplain is a multi-model AI platform that provides enterprise teams with unified access to multiple large language models through a governed, auditable workspace with built-in sensitive data controls. Organizations increasingly face a governance gap as employees adopt AI tools independently — using personal accounts to process confidential documents, legal agreements, patient data, and proprietary business information without organizational visibility or policy enforcement. Backplain addresses this by centralizing AI access under administrative control while preserving employees' ability to work with the models they need. The platform connects to 47 frontier AI models across nine providers — including OpenAI, Anthropic, Google, Meta, Mistral, Amazon, xAI, and Perplexity — through a single interface. Its multi-model chat capability allows users to submit one prompt to multiple models simultaneously and compare responses side by side, enabling more informed decisions on outputs that vary across models, such as contract language interpretation, regulatory filings, or clinical summaries. Key features and capabilities include: AI Firewall: A patent-pending sensitive data obfuscation system that intercepts prompts before they reach any AI provider. Administrators configure three enforcement modes per data category: hard block, user warning, or silent reconstitution (where stand-ins are substituted before transmission and original terms are restored in the response). Audit logging: Every user session, prompt, model selection, and firewall event is logged and accessible through the admin console, with export to AWS QuickSight on Business and Enterprise tiers. Flat-rate pricing: All models included at a fixed per-seat monthly rate with no token costs, usage limits, or overage charges. Flexible deployment: Available as multi-tenant SaaS, customer-managed cloud (AWS, Azure, or GCP), fully managed private cloud, or dedicated bare metal in a SOC 2 Type II certified Tier 3 data center in San Diego. Compliance controls: BAA available for HIPAA-covered entities, SSO/SAML standard on Business tier and above, FedRAMP-aligned controls, GDPR-compliant data processing agreements, and BYOK (customer-managed keys) on the Sovereign tier. Backplain serves legal, biotech and pharmaceutical, and defense organizations, with particular adoption among in-house legal teams at regulated companies. The company was founded by former Intuit executives and is headquartered in San Diego, California.

Average Rating: 5.0/5.0

Total Reviews: 1

Who Is the Company Behind Backplain?

Who Uses This Product?

  • Company Size: 100% Medium

What Are Recent G2 Reviews of Backplain?

BentoML

From trained ML models to production-grade prediction services with just a few lines of code

Average Rating: 5.0/5.0

Total Reviews: 2

Who Is the Company Behind BentoML?

  • Seller: BentoML
  • Year Founded: 2019
  • HQ Location: San Francisco, US
  • LinkedIn® Page: www.linkedin.com
    6 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

What Do G2 Reviewers Say About BentoML?

AI-generated summary from verified user reviews

Pros
  • Users love the deployment ease of BentoML, simplifying model servicing and containerization with minimal configuration.
  • Users find that BentoML offers ease of use, simplifying model serving and containerization with minimal effort.
  • Users appreciate the seamless integration and simplicity of BentoML for efficient model serving and deployment.
  • Users commend BentoML for its scalability, easily managing multiple requests and simplifying model deployment processes.
  • Users appreciate the responsive customer support of BentoML, actively engaging to resolve issues in real-time.
Cons
  • Users find the setup process complex, with difficulties in deploying models and managing configurations in BentoML.
  • Users find the implementation process complex, as it requires manual configurations and custom loaders for deployment.
  • Users find the complexity of writing configs for BentoML can be unnecessarily involved and tedious.
  • Users find complexity issues with BentoML, as configuring and deploying models often requires extensive manual effort.
  • Users find the difficult setup of BentoML involves complex configurations and manual processes that should be automated.

What Are Recent G2 Reviews of BentoML?

Donovan

Drowning in Data Personnel constrained by time, technology, and other resources overlook petabytes of historical information and incoming data. Missed Insights Uncertainty around the information that exists prevents you from unlocking valuable insights and providing optimal recommendations. Security Specifications Classified information can’t leave secure networks and be sent directly to open-source AI models. Limited Mission Support Existing AI solutions are not geared towards defense and intelligence use cases, terminology, or context. Too Many Tasks Stakeholders frequently need written reports and briefings that require manual and time-intensive effort. Mission Specialization Stakeholders require an adaptable solution that can conduct translation, coding assistance, and parse data for insights.

Average Rating: 4.3/5.0

Total Reviews: 2

Who Is the Company Behind Donovan?

  • Seller: Scale AI
  • Year Founded: 2016
  • HQ Location: San Francisco, California, United States
  • LinkedIn® Page: www.linkedin.com
    5,533 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 150% Medium

What Are Recent G2 Reviews of Donovan?

Fruxon

Fruxon is the platform for building and running AI agents inside your organization: agents that take real actions in your systems, work across the channels your team and customers already use, and ask a named person when they hit something they don't know. Most agent tools stop at the demo. Fruxon is built for what happens after launch. Each agent gets a defined set of tools and permissions, and pauses mid-task to escalate to a human, then resumes once it has an answer. As it proves itself, you widen what it's allowed to do. What's included: Build: design agents on a visual canvas or through the CLI, connect them to APIs, CRMs, email, and internal tools, and bring your own LLM (OpenAI, Anthropic, Google Gemini, AWS Bedrock and others). Run: deploy the same agent to WhatsApp, Telegram, Slack, Microsoft Teams, email, or your own product. Agents run sandboxed with minimum permissions. Operate: full traces of every action, cost and token tracking, versioning with one-click rollback, and evaluation gates that block regressions before they reach users. Govern: human-in-the-loop approvals and escalation, a full audit trail, RBAC, and SOC 2 Type 1 and CASA Tier 2 verification. Common uses: customer support agents that resolve requests and act in back-office systems, and back-office automation such as email intake that processes documents and updates the CRM, with a person approving the steps that matter.

Average Rating: 5.0/5.0

Total Reviews: 1

Who Is the Company Behind Fruxon?

  • Seller: Fruxon
  • Year Founded: 2026
  • HQ Location: N/A
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of Fruxon?

Griptape

Build, deploy, and scale end-to-end AI applications in the cloud. Griptape gives developers everything they need to build, deploy, and scale retrieval-driven AI-powered applications, from the development framework to the execution runtime. 🎢 Griptape is a modular Python framework for building AI-powered applications that securely connect to your enterprise data and APIs. It offers developers the ability to maintain control and flexibility at every step. ☁️ Griptape Cloud is a one-stop shop to hosting your AI structures, whether they are built with Griptape, another framework, or call directly to the LLMs themselves. Simply point to your GitHub repository to get started. 🔥 Run your hosted code by hitting a basic API layer from wherever you need, offloading the expensive tasks of AI development to the cloud. 📈 Automatically scale workloads to fit your needs.

Average Rating: 4.0/5.0

Total Reviews: 1

Who Is the Company Behind Griptape?

  • Seller: Foundry
  • Year Founded: 1996
  • HQ Location: London, United Kingdom
  • LinkedIn® Page: www.linkedin.com
    391 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Medium

What Do G2 Reviewers Say About Griptape?

AI-generated summary from verified user reviews

Pros
  • Users find the ease of creation with Griptape's modular framework enhances their AI workflow development significantly.
  • Users appreciate the ease of use of Griptape, finding it simple to create effective workflows with its Python framework.
  • Users value the workflow efficiency of Griptape, enhancing their ability to create effective AI solutions seamlessly.

What Are Recent G2 Reviews of Griptape?

Hermes 3

Hermes 3 is a neutrally-aligned, generalist instruction-tuned language model designed to excel in reasoning and creative tasks. Its largest variant, Hermes 3 405B, achieves state-of-the-art performance among open-weight models on several public benchmarks.Hermes 3 addresses the need for a versatile and unbiased language model that excels in both reasoning and creative tasks. By providing state-of-the-art performance, it empowers users to tackle complex problems, generate innovative content, and interact effectively with various tools, thereby enhancing productivity and decision-making processes.

Average Rating: 4.0/5.0

Total Reviews: 1

Who Is the Company Behind Hermes 3?

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of Hermes 3?

Jina

An open-source, cloud-native neural search framework for creating scalable deep learning search applications across various modalities.

Average Rating: 4.5/5.0

Total Reviews: 1

Who Is the Company Behind Jina?

Who Uses This Product?

  • Company Size: 100% Medium

What Do G2 Reviewers Say About Jina?

AI-generated summary from verified user reviews

Cons
  • Users find the difficult setup of Jina challenging, especially for those less technically inclined.
  • Users find the learning curve steep, as the setup of Jina is more technical and challenging initially.

What Are Recent G2 Reviews of Jina?

Lamatic.ai

Product Description Lamatic is a managed tech stack and orchestration platform that allows product teams to quickly deploy and easily manage production-grade custom APIs that deliver the AI functionality their applications need. Key Features - Complete AI tech stack with managed integrations to leading data sources, models and tools. - Can configure and deploy custom AI-powered APIs and agents to the edge in minutes. - Role-based centralized UI enables seamless cross-functional collaboration. - Automated workflow eliminates costly errors and delays. - PaaS model offers a comprehensive, managed solution with zero time-to-market. Value Proposition The Lamatic orchestration platform allows teams to launch and iterate production-grade AI product features much faster while eliminating technology risk. Ideal Customer Profiles 1) SaaS Product Teams with AI features and capabilities on their roadmap 2) Software Development Agencies 3) CTOs with multiple teams doing generative AI development work 4) AI enthusiasts and innovators

Average Rating: 5.0/5.0

Total Reviews: 1

Who Is the Company Behind Lamatic.ai?

  • Seller: Lamatic
  • Year Founded: 2023
  • HQ Location: Miami / Fort Lauderdale, US
  • LinkedIn® Page: www.linkedin.com
    18 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of Lamatic.ai?

MarkovML

Empower Teams to Transform Work with AI. Drag, drop and deploy AI agents to transform busy work into smart work —no AI expertise required.

Average Rating: 4.5/5.0

Total Reviews: 1

Who Is the Company Behind MarkovML?

  • Seller: MarkovML
  • Year Founded: 2021
  • HQ Location: San Francisco, US
  • LinkedIn® Page: www.linkedin.com
    6 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Medium

What Do G2 Reviewers Say About MarkovML?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of MarkovML, enabling them to understand objectives and complete tasks efficiently.
  • Users commend the performance satisfaction of MarkovML, consistently achieving their campaign goals with ease and efficiency.
Cons
  • Users find that some integration issues hinder effectiveness and suggest improvements could be made.

What Are Recent G2 Reviews of MarkovML?

Bijou Barry
BB
Researched and written by Bijou Barry
Updated April 9, 2026