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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.
AI governance gateway between applications and model providers
Actualyze AI is an AI gateway that checks access, budgets and PII on each model call and keeps an audit trail. Modules cover governance, security, operations, routing and integrations. It is offered as hosted SaaS, with on-premises planned for 2027.
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.
AI governance, security and cost control inside the customer's VPC
ALERT AI offers a platform that enforces access control, runtime isolation and policy for AI agents, with RAG inspection, a semantic firewall and GPU and token usage controls, deployed in the customer's own VPC.
AI program management and governance platform for intake and risk review
AlignAI (AlignAI Labs, Inc.) offers a platform for managing AI initiatives, covering idea intake, risk scoring and portfolio tracking. It gathers context from forms, connected systems and files so governance reviews start with complete information, and targets regulated enterprises.
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.
Control plane for governing, monitoring and securing enterprise AI agents
Arthur provides agent discovery and governance, runtime security, observability, evaluation and cost control for enterprise AI. It also publishes Deckard, an open source scanner for rogue AI agents.
Enterprise AI value measurement and spend tracking platform
Ascerta, formerly Pay-i, helps enterprises measure the business value and ROI of AI investments. Products include Atlas for use-case returns, Convoy for provisioned capacity use and Forge for coding agent usage.
Enterprise AI gateway governing models, MCP servers and workflows
Barndoor AI offers an AI gateway providing access control, DLP, cost control and audit trails across LLMs and MCP servers, with an automation builder. It deploys as SaaS, private cloud or on-premises.
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.
AI optimization software for energy systems and distributed assets
BluWave-ai is a Canadian company developing AI-based optimization and control software for energy storage, electric vehicle charging and distributed energy resources, intended for utilities and energy operators.
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.
Trust and data quality tools for AI and LLM applications
Cleanlab started as an open source library for finding label errors in datasets and now offers tools to score the trustworthiness of LLM outputs and curate data for AI applications. It serves enterprises building agents and RAG systems.
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.
AI governance platform for registering, assessing and auditing AI systems
Credo AI provides an AI governance platform that helps enterprises discover AI systems including agents and vendor tools, apply policies, manage risk and produce audit evidence. It ships policy packs for frameworks such as the EU AI Act, NIST AI RMF and ISO 42001.
Policy engine constraining AI model outputs to organizational rules
CTGT describes itself as an applied interpretability lab selling a policy engine that enforces organizational policies on model outputs at inference time without retraining, with audit trails and a financial services solution.
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.
Data labeling and LLM development platform for AI teams
Datasaur provides a platform for labeling text, document and audio data and for building and evaluating LLM applications. It supports workforce management and quality controls for annotation projects. Customers are AI and data teams at startups and enterprises.
Planning and scheduling optimization software
DecisionBrain provides AI-driven decision optimization software for planning and scheduling in supply chain, manufacturing, logistics, workforce and maintenance, including a low-code platform and IBM optimization products.
Evaluation, testing and monitoring for LLM applications and ML models
Deepchecks provides tools for evaluating and monitoring machine learning models and LLM-based applications, including an open-source testing package. It is aimed at AI teams that need to validate quality before and after deployment.
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.
Transparent and explainable machine learning platform
EazyML offers a machine learning platform focused on explainability and responsible AI, aimed at financial services and healthcare, including tools that forecast outcomes from textual data. It also publishes open Python packages for AutoML and explainable AI.
Platform for building and deploying machine learning on edge devices
Edge Impulse provides tools to collect data, train models and deploy ML to embedded and edge devices. It was acquired by Qualcomm in 2025.
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.
Inference platform for running and tuning open models
Fireworks AI runs open models, including customer-trained ones, on its cloud or the customer's, and offers training and routing across models to balance accuracy and cost. It prices inference per million tokens.
AI gateway and evaluation platform for LLM and agent workflows
FloTorch provides tools to benchmark models, evaluate agentic workflows and manage LLM routing, caching and guardrails through a unified gateway. It emerged from Fission Labs.
Inference platform for serving generative AI models efficiently
FriendliAI provides an inference serving engine and managed endpoints for running open and custom generative AI models with a focus on throughput and cost. It offers serverless and dedicated deployments.
Open-source platform for simulating, evaluating and monitoring AI agents
Future AGI provides an Apache 2.0 licensed platform for agent engineering covering simulation, evaluation, optimization, monitoring and guardrails, with self-hosted and managed cloud options.
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.
Cloud-native observability platform including LLM observability
Groundcover provides an observability platform using eBPF-based collection for cloud and Kubernetes environments, with logs, metrics and traces, and features for observing LLM applications. It offers a bring-your-own-cloud deployment where data stays in the customer's environment.
Open source framework for validating LLM inputs and outputs
Guardrails AI develops an open source framework that applies validators to LLM inputs and outputs to enforce structure and safety constraints. A hub of community validators and a commercial offering support production deployments.
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.
Testing and monitoring platform for voice and chat AI agents
Hamming provides QA for voice and chat AI agents by generating test scenarios, running large batches of simulated calls and replaying production calls as tests. It also offers red teaming and production monitoring, and integrates with common voice agent platforms.
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.
Machine unlearning platform for removing risky behavior from AI models
Hirundo provides a machine unlearning platform that removes unwanted knowledge and behaviors, such as bias, jailbreak vulnerabilities and memorized personal data, from trained models without retraining. It also offers data quality checks for non-generative AI datasets.
AI governance platform for discovery, testing and compliance enforcement
Holistic AI offers an enterprise platform that discovers AI systems, tests them for security, bias and risk, and enforces policies mapped to frameworks like the EU AI Act, NIST AI RMF and ISO/IEC 42001. It also provides guardian agents to monitor autonomous agents.
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.
Expert-in-the-loop annotation, AI evaluation and post-training platform
Kili Technology provides a platform for data annotation, model evaluation and post-training with domain experts reviewing outputs. It supports text, image, video, audio, documents and geospatial data, with cloud, hybrid and on-premises deployment.
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.
Testing and quality platform for machine learning and AI models
Kolena provides a platform for testing and evaluating ML and AI models, using scenario-level test cases to find model gaps before deployment.
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.
Reliability platform for AI agents
Kytte AI describes itself as an autonomous reliability platform for AI agents, with themes of agent runtime, monitoring and reliability. Detailed product information is limited.
Backend.AI platform for GPU and AI infrastructure management
Lablup develops Backend.AI, a platform for operating GPU clusters and running AI development and serving workloads from a single GPU to thousands. It also offers FastTrack for pipeline workflows and AI:GO, a desktop AI tool. It has offices in Seoul and San Jose.
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.
Industry-specific AI operating system and AI agents for manufacturing and defense
MakinaRocks develops Runway, an AI operating system for running and scaling industry-specific AI and connecting it to enterprise systems, and DrawX, an agent for analyzing engineering drawings. It serves automotive, defense, heavy industry and manufacturing.
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.
Platform for deploying ML models from notebooks to production APIs
Modelbit lets data science teams deploy machine learning models, including GPU-based ones, directly from Python notebooks or Git to production endpoints. It aims to remove infrastructure work between model development and serving.
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.
AI governance software for policy, evidence and model validation
Monitaur sells AI governance software and expertise for turning governance policies into evidence by standardizing controls, monitoring model performance and validating models for internal teams and auditors. Modules span defining policy, managing inventory, and automating monitoring and testing.
Model compression and quantum-inspired software for AI and optimization
Multiverse Computing develops quantum-inspired software, including CompactifAI, which compresses large language models for cheaper and edge deployment, plus optimization and finance applications.
User analytics for LLM-powered products
Nebuly offers analytics that capture how users interact with LLM-based assistants, surfacing usage patterns, intent and satisfaction signals for product and AI teams.
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.
Brain-inspired AI technology and CPU-based inference platform
Numenta develops AI technology based on neuroscience research and offers NuPIC, a platform for running language models efficiently on CPUs. It also supports the open-source Thousand Brains Project.
Observability, testing and evaluation for AI agents
Okahu provides observability, testing and evaluation tools for finding and fixing issues in AI agents running in production. It offers a free cloud tier and a beta program.
Simulation, evaluation and monitoring for voice and text AI agents
Okareo provides a platform that tests and monitors AI agents using synthetic users that simulate multi-turn conversations, including voice agents. It supports evaluations in CI, production monitoring and security testing against OWASP LLM lists.
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.
Platform for training, evaluating and deploying specialized models
Oumi offers an open source library and platform for training, evaluating and running custom AI models and agents, including post-training and managed inference. Deployment options include hosted, VPC, on premises and edge.
Platform for building and deploying ML and AI systems on Metaflow
Outerbounds provides a managed platform for building, deploying and operating ML, AI and data science workloads, built on the open-source Metaflow framework created at Netflix. It runs inside the customer's own cloud account and offers GPU and autoscaling compute. The site indicates the company is joining Anaconda.
Enterprise AI security and governance platform
Ovalix provides an AI security and governance platform that discovers AI use, detects data leakage, shadow AI and malicious prompts, and enforces controls across public AI apps, in-house apps, agents and coding agents.
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.
Workflow orchestration for data, ML and agents; now includes Dagster
Prefect provides a Python-native workflow orchestration platform with durable execution, scheduling and monitoring, plus FastMCP for MCP servers. Prefect says it acquired Dagster Labs in July 2026, and Dagster keeps its name and open source license.
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.
Evaluation platform for testing and monitoring generative AI and RAG applications
RagMetrics offers a platform for evaluating generative AI and retrieval-augmented generation applications, helping teams score outputs, compare models and prompts, and monitor quality in production.
No-code AI and data science platform with AI agents
RapidCanvas offers a platform that lets business users and data teams build analytics and machine learning solutions through no-code workflows and AI assistants.
Experiment engine for tuning and comparing LLM and agent configurations
RapidFire AI runs many variants of a model, retrieval or agent setup in parallel on shared hardware, stopping weak ones early and cloning strong ones. It supports fine-tuning and RAG experimentation and has an open-source core.
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.
Computer vision platform for labeling, training and deploying vision models
Roboflow provides tools to annotate images and video, train and deploy computer vision models, and build workflows, with inference in the cloud or at the edge. It has a free tier and a public dataset hub called Universe.
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.
Dedicated inference for open AI models on GPU clouds
Saturn Cloud offers dedicated inference endpoints for open models on GPUs from neocloud partners, with traffic-tuned deployments, fine-tuning and an SLA. It also sells Token Factory to GPU cloud operators. Earlier it was known as a data science and ML notebook platform.
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.
Self-hosted data and AI platform running in the customer's cloud
Shakudo provides a platform that runs data and AI tools, agents and governance inside a customer's own infrastructure, including air-gapped environments. It bundles 170+ tools and offers agents, an AI gateway and governance controls, with engineers helping customers run it.
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.
Inference platform for deploying and serving AI models
Simplismart provides a platform to deploy and run generative AI and ML models with optimized inference, in the customer's cloud or Simplismart's cloud.
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 security and model transparency software
Starseer builds software for AI security and transparency, helping enterprises understand and test model behavior. It announced a $2 million seed round led by Gula Tech Adventures in July 2025.
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.
Open-source Python framework for building data and ML apps
Streamlit is an open-source Python framework that lets data scientists turn scripts into interactive web apps. It is owned by Snowflake and also available inside Snowflake as a hosted option.
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.
Open-source Python framework for data and AI web applications
Taipy is an open-source Python library (from Avaiga) for building data and AI applications with a GUI and scenario and pipeline management, with an enterprise edition. The provided domain taipy.com.br was not verified; the company's site is taipy.io.
Time-series forecasting and anomaly detection AI
Tangent Works offers Tangent AI, a predictive AI tool for time-series data for forecasting and anomaly detection, with an AI copilot and OEM options. It integrates with Azure, AWS, Databricks and Snowflake.
KV-cache management platform that lowers LLM inference cost and latency
Tensormesh develops a platform that manages the KV cache for LLM inference across GPU memory, host memory and storage so GPUs avoid recomputing prior work. It deploys on Kubernetes and is associated with the open-source LMCache team.
Closed-loop data and annotation service for improving AI models
Thoth AI identifies where models fail in real-world use, determines what data would fix those failures, routes annotation to experts and feeds results back into model improvement. It targets embodied AI, robotics and LLM reliability work.
Open-weight model inference API and self-hosted inference stack
Doubleword, formerly TitanML, provides an OpenAI-compatible API for running open-weight models with realtime, async and batch pricing tiers, plus an inference stack and models catalog.
AI cloud for running, fine-tuning and scaling open source models
Together AI offers inference, GPU compute and model-shaping tools for open source models, including serverless and dedicated endpoints, GPU clusters, fine-tuning and evaluations.
Open source observability and evaluation for AI agents
Traceroot is an open source platform for tracing, evaluating and debugging AI agents in production. It records model and tool calls, applies LLM-based detectors and links failures to likely code changes.
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 governance platform for intake, risk management and compliance
Trustible provides a system of record for AI governance that centralizes AI intake, risk and impact assessments, vendor reviews and regulatory mapping to the EU AI Act, NIST AI RMF and ISO 42001. It also publishes AI model ratings and a trust center.
Model serving and orchestration platform for private AI
UbiOps lets organizations deploy, scale and manage AI models and workloads on any infrastructure, including local, hybrid and multi-cloud, without managing Kubernetes directly. It emphasizes public sector, healthcare and critical infrastructure use.
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.
GPU cloud for training, fine-tuning and serving AI models
VESSL AI runs VESSL Cloud, a GPU cloud and MLOps platform for training, fine-tuning and serving models. It offers container compute, multi-node GPU clusters and inference APIs. Customers listed include AI companies and universities.
Platform for organizing and curating visual datasets for AI
Visual Layer provides a platform for organizing, exploring and cleaning image and video data using clustering, quality analysis and semantic search, supporting model training. The site notes the company has joined Camtek.
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.
Computational software including Mathematica, Wolfram Language and LLM tools
Wolfram Research develops Wolfram Language, Mathematica and Wolfram|Alpha, offering computation, machine learning functions and tools for connecting LLMs to computational capabilities.
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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