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MLOps tools turn one-off models into a repeatable production practice: tracking experiments, managing features, deploying safely and watching performance once models are live. They matter most once more than a handful of models are in production.
Data catalog and governance platform for trusted enterprise data and AI
Alation provides a data intelligence platform built around a data catalog, with governance, lineage and data product capabilities. Enterprises use it to document data assets, apply policies and give analysts and AI teams a trusted view of what data exists and how it is used.
Python and R package distribution and enterprise platform for data science and AI
Anaconda maintains the Anaconda Distribution of Python and R data science packages and sells enterprise offerings for secure package management and governed AI development. It serves individual practitioners as well as enterprises that need curated, vulnerability-scanned open source packages.
Managed platform for running Ray-based AI workloads at scale
Anyscale builds the Anyscale Platform around Ray, the open source distributed compute engine, for data processing, model training, batch embedding and post-training. It runs on customer GPUs across clouds and Kubernetes.
Observability and evaluation platform for AI agents, LLMs and ML models
Arize AI provides Arize AX, a managed platform for tracing, evaluating and monitoring AI systems in production, and Phoenix, an open source tracing and evaluation tool. It supports self-hosted and major cloud environments.
Inference platform to train, serve and scale open source and custom models
Baseten provides infrastructure to serve and scale AI models in production, describing itself as an inference platform for open source and custom models, with training capabilities. Enterprises use it for production inference workloads.
Open source framework and cloud platform for serving AI models
BentoML maintains an open source framework for packaging and serving ML models and AI applications, and BentoCloud, a managed platform for deploying them with GPU inference, autoscaling and monitoring. It supports popular ML frameworks and open source LLMs.
AI and data services firm with accelerators for vision, GenAI and data
Blackstraw provides AI and data consulting and engineering, from strategy and use case identification to scaling and optimizing production AI. It also offers pre-built accelerators for computer vision, generative AI and data work, and services for model management and cost monitoring.
Data science, analytics and AI services firm
Blend360 is a data, analytics and AI services firm that helps companies combine data engineering, data science and business intelligence. Its services include MLOps and an agentic AI offering branded BlendX, delivered with partners such as AWS, Snowflake, Databricks and Microsoft.
Evaluation and observability platform for AI agents
Braintrust provides tools to trace production AI calls, run evaluations to catch regressions, and turn real failures into test datasets. It offers observability, evaluation and trace analysis with SDKs in several languages.
Serverless GPU infrastructure for AI workloads
Cerebrium offers serverless GPU infrastructure for running voice agents, video models and LLMs, with autoscaling, containers, batching and multi-region deployment, billed per second.
Real-time feature platform and inference runtime for production AI
Chalk provides a platform that supplies live context to models and agents through a feature store, real-time serving and federated queries, plus model serving, sandboxes and agent evals. It can be self-hosted in the customer's cloud or used as a serverless service.
AI infrastructure control plane with experiment tracking and GPU management
ClearML offers a platform for managing AI infrastructure and workflows, with a control plane for GPU resources, an AI development center for experiment tracking and pipelines, and a GenAI engine for serving LLMs. It supports on-premises, cloud and hybrid environments.
Experiment management and the open source Opik LLM observability tool
Comet sells experiment management for ML teams, including tracking, artifact and dataset management, a model registry and production monitoring. It also develops Opik, an open source platform for tracing, evaluating and monitoring LLM applications and agents.
LLM evaluation, observability and red teaming platform built around DeepEval
Confident AI offers an AI quality platform with LLM evaluation, observability, voice agent testing, red teaming and governance, and develops the open source DeepEval and DeepTeam frameworks. It supports managed cloud or self-hosting in a VPC.
Observability platform with AI observability and guardrails
Coralogix offers an observability and security data platform built on a telemetry lake, with AI observability, AI discovery, guardrails and AI security and compliance features alongside logs, metrics and traces.
Platform for data curation, experiment tracking and model management
DagsHub offers a collaborative platform that combines multimodal dataset curation and annotation, MLflow-compatible experiment tracking and model management. Paid tiers add private repositories, RBAC and on-premises deployment.
Cloud observability platform with LLM and ML monitoring capabilities
Datadog sells a SaaS observability and security platform covering infrastructure, application performance, logs and user experience. Its LLM Observability product extends that telemetry to AI applications, tracing prompts, responses, cost and quality alongside the rest of the stack.
Enterprise AI platform for building, deploying and governing analytics and AI
Dataiku offers a collaborative platform where data teams, analysts and business users build data pipelines, machine learning models and generative AI applications. It includes governance and LLM management features aimed at enterprises scaling AI across many teams.
Enterprise AI platform for building, operating and governing predictive and agentic AI
DataRobot provides a platform covering predictive, generative and agentic AI, with governance and observability modules. It targets enterprises that need to build and run AI applications with controls, and also publishes open source tools such as Covalent and syftr.
Collaborative data workspace for analytics, data engineering and ML
Deepnote provides a collaborative notebook workspace supporting Python and SQL, with data apps, pipelines, dashboards and model training and serving, plus 100+ integrations and SOC 2 and HIPAA compliance.
Enterprise platform to build, scale and govern AI and data science work
Domino offers an enterprise AI platform that combines workbench, MLOps, infrastructure management and governance. It is used by large organizations, including in regulated settings such as model risk management and statistical computing.
Automated feature discovery and AI platform for business KPIs
dotData offers an automation platform that discovers predictive features in multi-table enterprise data and supports building models for use cases such as churn, fraud and forecasting. The company was founded in Japan and also operates in the United States.
Evaluation, guardrails and compliance tooling for enterprise generative AI
Dynamo AI provides tools to test, secure and monitor generative AI for compliance, including DynamoEval for pre-production testing and DynamoGuard for real-time guardrails. It also lists AgentWarden for AI agent risk detection.
Observability and security platform with AI-assisted analytics and AI workload monitoring
Dynatrace provides a software intelligence platform for observability across applications, infrastructure and user experience, using causal AI for root cause analysis. It has added observability for AI and LLM workloads on top of its core monitoring.
Data infrastructure for annotating, curating and aligning multimodal AI data
Encord provides a platform for managing, curating, annotating and aligning multimodal data such as video, sensor streams and text, plus data-as-a-service for annotation and collection, with a focus on physical AI.
Open source and cloud tools to evaluate and monitor ML and LLM systems
Evidently AI develops an Apache 2.0 open source framework for evaluating, testing and monitoring ML models, LLM apps and agents, with 100+ built-in metrics, plus a commercial cloud product with dashboards.
Generative media inference platform with model APIs and serverless GPUs
fal provides infrastructure for generative media, with a unified API for 1,500+ image, video, audio and 3D models, serverless deployment for custom models, and GPU clusters for training.
Platform that automates data science and feature engineering workflows
FeatureByte offers a platform and a Data Science Agent that aim to take business questions through feature engineering to production-ready models for predictive AI. It originated as a feature platform and now positions around automating the data science lifecycle.
Observability, evaluation and guardrails for ML models and AI agents
Fiddler provides an observability and control platform covering ML model monitoring, LLM and agent evaluation, guardrails and governance reporting. Enterprises use it to track drift, explainability and policy compliance for predictive and generative AI.
Evaluation, observability and guardrails platform for AI agents and LLM apps
Galileo provides tooling to evaluate, monitor and add guardrails to generative AI applications and agents, including metrics for quality and safety and production observability. Cisco completed its acquisition of Galileo Technologies on May 22, 2026 and plans to incorporate its capabilities into the Splunk observability portfolio.
Testing and red-teaming platform for AI agents and LLM applications
Giskard, a European company, offers Giskard Hub and an open source library for testing AI agents before and after deployment for vulnerabilities and quality failures. Its black-box approach needs only an API endpoint and produces go/no-go reports.
Open source observability stack for metrics, logs and traces
Grafana Labs develops Grafana, an open source dashboarding tool, and a stack of observability backends (Loki, Tempo, Mimir), sold as Grafana Cloud or self-managed Enterprise. Teams use it to visualize and alert on infrastructure and application data, including AI and ML workloads.
Mathematical optimization solver for decision-making models
Gurobi Optimization develops the Gurobi Optimizer, a solver for linear, mixed-integer and related mathematical programs used for scheduling, routing and planning. It also offers open source tooling to embed trained machine learning models in optimization models.
Analytics platform with notebooks, apps and conversational data exploration
Hex provides agentic notebooks for data teams, conversational analytics for business users and data apps, grounded by a context layer of definitions and semantic models. It offers evaluation and usage observability for its AI answers.
Observability for software and AI systems built on tracing and high-cardinality queries
Honeycomb provides distributed tracing, logs, metrics and anomaly detection for engineering teams, and has added agent observability for tracking LLM and agent cost, latency and failures. Its legal entity is Hound Technology, Inc.
Observability and evaluation platform for AI agents in production
HoneyHive provides tracing, online evaluations, monitoring, alerts, experiments and datasets for enterprises running AI agents, with annotation queues and prompt management.
Feature store and AI lakehouse platform for ML pipelines and real-time serving
Hopsworks provides a feature store with low-latency online retrieval, plus an AI lakehouse and MLOps tooling for experiment tracking, a model registry and deployment. It supports cloud, on-premises, air-gapped and hybrid setups, and is developed by Hopsworks AB in Sweden.
Hub for open source models and datasets with hosted inference and enterprise tools
Hugging Face runs a platform where the ML community shares models, datasets and applications, and sells compute and enterprise services such as Inference Endpoints and Enterprise Hub. It is widely used to discover and deploy open models.
Data labeling and evaluation platform behind the Label Studio open source tool
HumanSignal develops Label Studio, an open source data labeling tool, and Label Studio Enterprise for labeling, evaluation and quality control of training and model output data. It also provides managed annotation and expert evaluation services.
Enterprise AI portfolio including watsonx for model building and governance
IBM offers hybrid cloud, AI and consulting. Its watsonx portfolio covers building and tuning models, data management and AI governance, and its software supports enterprises running ML in regulated industries.
MLOps and generative AI operations platform built on the open source MLRun
Iguazio offers an AI platform for taking ML and generative AI applications to production, with pipeline orchestration, monitoring, and GPU management. It maintains the open source MLRun and Nuclio projects and has been owned by McKinsey since its 2023 acquisition, operating as part of QuantumBlack.
AI observability and incident prediction platform for IT and AI systems
InsightFinder provides an observability platform that uses machine learning to detect anomalies and predict incidents across infrastructure, applications and AI systems. It also covers observability for LLM and ML workloads.
Visual workflow platform for data analytics and predictive AI with an open source core
KNIME provides the open source KNIME Analytics Platform for visual workflows covering ETL, analytics and machine learning, and KNIME Hub (Community and Business) for sharing and deploying workflows. It connects to 300+ data sources and AI models.
AI-focused management consulting and engineering firm
KUNGFU.AI is a consulting and engineering firm focused on artificial intelligence. It offers strategy, agentic AI, deployed AI and human-machine teaming services across more than 30 industries including healthcare, government and private equity.
Platform to tune, evaluate and deploy LLMs on private infrastructure
Lamini provides a platform to tune, evaluate and deploy LLMs privately, on-premises or in a VPC, with fine-tuning, RAG, pretraining and a custom inference engine that guarantees structured JSON outputs.
Open source LLM observability, prompt management and evaluation platform
Langfuse is an open source platform for tracing LLM and agent applications, managing prompts and running evaluations. It is available as managed cloud or self-hosted and is now part of ClickHouse.
Cloud GPU platform and tools for building and training AI models
Lightning AI provides on-demand GPUs and a workspace for building, training and deploying models, alongside open source tools such as PyTorch Lightning and LitServe. Enterprise features include budgets, SSO and bring-your-own-cloud.
AI-assisted observability platform for logs, metrics and traces
Logz.io offers a cloud observability platform combining log management, metrics and distributed tracing with AI-assisted root cause analysis, and lists an AI Observability offering.
MATLAB and Simulink software for engineering and scientific computing, including ML
MathWorks develops MATLAB and Simulink, and toolboxes for machine learning, deep learning and statistics used in engineering and research. It supports deploying trained models to production servers and embedded targets.
AI gateway and observability tooling, including the open source Bifrost
Maxim (legal entity H3 Labs Inc.) offers Bifrost, an open source AI gateway with routing, governance, guardrails and OpenTelemetry-based observability, with an enterprise edition. It is known more widely for AI evaluation and observability, which the current site does not describe.
Federated query engine that connects data sources to AI
MindsDB offers an open source, ML-native federated query engine that connects 300+ sources into a Knowledge Base for AI querying, plus a paid Minds Enterprise tier with petabyte scale and flexible deployment.
Serverless cloud for running AI inference, training and batch workloads
Modal is a cloud platform where developers run Python functions on GPUs for inference, training, batch jobs and sandboxed code execution. It bills by the second and scales to zero when idle.
AI lifecycle governance and enterprise AI command center
ModelOp, headquartered in Chicago, sells an Enterprise AI Command Center that unifies ML, generative, agentic and vendor AI assets, automating lifecycle management and governance. The MADE delivery engine integrates with 50+ technologies.
Full-stack observability platform with AI application and agent monitoring
New Relic sells a SaaS observability platform covering APM, infrastructure, logs and digital experience, with AI monitoring features for tracking performance, token usage and cost of AI apps and agents.
AI governance and observability platform for regulated enterprises
Openlayer provides AI governance and observability covering discovery of AI systems, registration, pre- and post-deployment testing, production monitoring, guardrails, compliance mapping and cost controls, through a gateway enforcement layer.
European enterprise AI platform with gateway, evaluation and governance
Orq.ai, based in Amsterdam, provides a control plane for AI traffic with an AI Gateway, MCP gateway, observability, evaluation, governance and prompt management, supporting 500+ models from 30+ providers.
Predictive AI platform for customer and marketing predictions
Pecan's Predictive AI Agent learns from customer history to predict conversion, upsell, churn and return, and sends audiences to marketing tools and warehouses with a validation report.
Open source and commercial tools for R and Python data science
Posit (formerly RStudio) develops the RStudio and Positron IDEs and enterprise products for developing, publishing and governing R and Python work. It is a public benefit corporation.
Prompt management, evaluation and observability for LLM applications
PromptLayer is a New York-based platform with a prompt registry, evaluations, observability and agent tracing for LLM applications. A no-code editor lets domain experts change prompts without changing application code.
External data signal discovery for demand forecasting
Ready Signal sells a platform that searches thousands of external economic and market signals and tests them for causal relationships with a company's sales, to be added to forecasting models. It is a data and forecasting-enrichment product rather than a model monitoring tool.
GPU cloud for training and serving AI models
Runpod provides on-demand GPU pods, serverless GPU endpoints and multi-node clusters for training and inference, with usage-based billing across multiple regions.
Verification and robustness testing for ML models and AI agents
Safe Intelligence provides tools to validate, harden and monitor machine learning models and AI agent systems, using formal verification to analyze how models behave across input regions. Its products cover model validation, robustification and ongoing monitoring.
Analytics, AI and machine learning platform
SAS develops analytics software including SAS Viya, a cloud-native platform for data management, machine learning and decisioning. It is long established in regulated industries such as banking, insurance and life sciences.
MLOps platform for deploying, monitoring and explaining ML models on Kubernetes
Seldon, based in London, develops tools for deploying ML models at scale, including inference servers, deployment patterns such as canary and shadow, and drift and outlier detection. It combines open source components with commercial enterprise offerings.
Cloud analytics and app-building platform that runs on data warehouses
Sigma provides a spreadsheet-style analytics and application platform that queries data directly in cloud data warehouses such as Snowflake and Databricks. It includes AI features, agents and embedded analytics, with governance following the warehouse permissions.
Expert-curated training data, evaluation and benchmarks for AI developers
Snorkel AI, which grew out of Stanford research on programmatic labeling, now focuses on developing curated datasets, evaluation systems and agent training environments for AI labs and enterprise teams. It also publishes public benchmarks.
IT infrastructure and observability software
SolarWinds sells IT management software including network, infrastructure and application observability and service management. It is an IT operations vendor with AI-assisted features rather than a dedicated ML model monitoring product.
AI platform for finding and improving drivers of business KPIs
SparkBeyond offers its Always-Optimized platform that combines data from sources such as CRM, ERP and IoT, identifies what drives underperforming KPIs and recommends changes. Applications include customer retention, risk scoring and predictive maintenance.
Context layer that lets AI agents learn enterprise knowledge in context
Sphinx, headquartered in New York, builds a platform for in-context learning that creates trainable context layers serving enterprise knowledge to AI agents. It launched publicly in 2025 with a seed round and a copilot for data science work.
Data, security and observability platform; AI agent monitoring via Cisco
Splunk, part of Cisco, provides data analytics, security and observability products. Its Agent Observability monitors AI agents, models and costs with evaluation and guardrails, powered by technology from Galileo, which Cisco acquired.
AI, data modernization and customer success consulting firm
StratApps is an AI and data execution partner for SaaS and enterprise organizations, with services spanning AI and data modernization, forward deployed engineering, analytics platforms and customer success consulting. It is headquartered in Silicon Valley with an office in Hyderabad.
Agentic management and guardrails for enterprise AI use
Superwise provides an agent management platform that adds policies, guardrails and audit trails around AI agents, plus tools that keep sensitive data out of prompts for AI assistants. It originated in ML model observability and now emphasizes AI governance.
Continuous testing and quality engineering software with AI-assisted automation
Tricentis sells test automation and quality engineering products, including Tosca, used by enterprises to test applications such as ERP and cloud software. It adds AI-assisted test creation and maintenance, but is a software QA vendor rather than an ML model testing specialist.
Enterprise control plane for LLMs, MCP servers and AI agents
TrueFoundry provides an AI gateway, MCP gateway and agent gateway for routing, access control, cost management and observability, along with a deployment platform and training and fine-tuning tools. It runs on-premises, in a VPC, hybrid or air-gapped.
AI runtime and orchestration platform built on open source Flyte
Union.ai provides an AI runtime for orchestrating training, agents and inference, built on the open source Flyte workflow engine. The platform runs in the customer's cloud and manages versioned artifacts, lineage, scheduling and an inference gateway.
Data pipeline observability and FinOps platform for Databricks, Snowflake and BigQuery
Unravel provides an AI-driven platform that monitors, optimizes and manages cost for data workloads on Databricks, Snowflake and BigQuery. Its agents cover FinOps, data operations troubleshooting and data engineering tuning.
MLOps platform for ML and LLM workflows with full lineage
Valohai provides an MLOps platform where teams run pipelines, track experiments and datasets, and deploy models on their own cloud or on-premises infrastructure. It records lineage from data to deployment for reproducibility and audit.
Experiment tracking, model registry and AI application tracing platform
Weights & Biases provides tools for tracking ML experiments, versioning models and datasets, and tracing and evaluating LLM applications through its Weave product. It is now part of CoreWeave and is used by ML teams from research through production.
Open source MLOps and AI pipeline framework with a hosted Pro tier
ZenML is an open source framework for running ML and AI pipelines and agents on chosen infrastructure, recording runs, artifacts and model versions. Its paid ZenML Pro adds a hosted dashboard, schedules and alerts, and it is shifting toward agent evaluation and reliability tooling.
Agentic data science platform now focused on AI superagents for investment research
Zerve offers Superagents, autonomous agents that break research objectives into sub-tasks and run them in parallel with inspectable code and results. The current positioning targets hedge funds, asset managers and banks, with air-gapped, VPC or managed deployment.
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MLOps tools turn one-off models into a repeatable production practice: tracking experiments, managing features, deploying safely and watching performance once models are live. They matter most once more than a handful of models are in production.
Experiment Tracking, Feature Stores, Governance and Testing, ML Development, Model Deployment and Model Monitoring.
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