LLMOps companies, products & suppliers
Operations for LLM applications in production: prompts, traces, evals and releases. Jobs: prompt versioning with releases; online eval; trace-based debug of llm apps.
What is LLMOps?
Operations for LLM applications in production: prompts, traces, evals and releases. Jobs: prompt versioning with releases; online eval; trace-based debug of llm apps.
What problems does it solve?
Once an LLM app is live, quality, cost and drift are invisible.
Typical business use cases
- Prompt versioning with releases
- Online eval
- Trace-based debug of LLM apps
Important capabilities
- Tracing
- Eval hooks
- Release of prompt/model pairs
What buyers should evaluate
- PII in traces
- Eval honesty
- Export
Risks and governance considerations
Production prompts stored forever in a vendor trace store.
Procurement checklist
- Trace retention
- Access control
- Eval methodology
Relevant AI Trustmark assurance
AI Trustmark independent findings appear only when an assessment or certificate exists. Category membership does not imply verification.
Companies and providers
Claimed suppliers appear first so buyers can start with listings the company has taken ownership of. Payment does not buy this order.
Agenta is the open-source workspace for your agents. Build agents through chat, improve them with feedback, and share them with your whole team — self-hosted or in the cloud. Agent
Ship quality agents at scale. Braintrust is the AI observability platform for tracing production, running evals, and catching regressions before they reach users. Braintrust Data,
See metrics from all of your apps, tools & services in one place with Datadog’s cloud monitoring as a service solution. Try it for free. Datadog, Inc. trades as Datadog, based in N
Routing and monitoring for reliable AI apps - the LLMOps platform behind the fastest-growing AI companies. Helicone publishes Helicone AI Gateway and Helicone Cost Tracking as name
Open-source platform to trace, evaluate, and debug AI agents. Laminar surfaces agent failures, and helps you fix them. LMNR AI, Inc. Laminar laminar.sh Laminar LLMOps. Public produ
Trace, evaluate, and improve AI agents with one open platform. Use production data to understand behavior, collaborate on fixes, and ship better quality at lower cost and latency.
AI agent testing and evaluation that turns unpredictable agents into reliable production systems, with simulations, evals, observability, and governance. LangWatch is used for LLMO
Trace AI agents, evaluate model responses, and manage prompts with Lunary. Connect production behavior to better AI, with cloud or self-hosted deployment. Lunary is used for LLMOps
Find and fix issues in your AI agents using observability, testing, and evaluations. Okahu is used for LLMOps work. Okahu publishes product information at okahu.ai. Okahu is groupe
Openlayer is the AI governance and observability platform for regulated enterprises: one place to test, monitor, and govern every model, agent, and AI system your company runs. Ope
PromptLayer is the prompt management platform for AI teams. Version prompts, run LLM evals, and monitor agents in production with tracing, logs, and regression sets. PromptLayer is
Traccia is an AI agent control plane for observability, evaluation, governance, and runtime policy enforcement across production AI systems. Traccia is used for LLMOps work. Tracci
Traceloop turns evals and monitors into a continuous feedback loop - so every release gets better. Traceloop is used for LLMOps work. Traceloop publishes product information at tra
Products
Claimed products appear first. Ranking packs and payment do not change this list.
Also used in this category
These products have a different primary category so they do not compete for the same ranking queries. They are listed here because buyers still encounter them in this job.
- Braintrust Evals· Braintrust
- Datadog LLM Observability· Datadog
- Helicone Cost Tracking· Helicone
- Langfuse Prompt Management· Langfuse
Related categories
Relevant procurement and assurance guides
Frequently asked questions
What is LLMOps?
Operations for LLM applications in production: prompts, traces, evals and releases. Jobs: prompt versioning with releases; online eval; trace-based debug of llm apps.
What should not be listed as LLMOps?
Products whose buyer job is classical MLOps, generic observability, or prompt-only editors. Those belong on their own category page so search queries are not split.
Has AI Trustmark independently assessed every LLMOps supplier?
No. A category listing is descriptive. Independent assessment is shown only on company or product pages that carry Trustmark evidence.
What logging should an AI agent provide?
Buyers should be able to see who the agent acted as, which tool was called, what data was sent, what changed, and when. Logs that omit write actions or store raw customer prompts without access control are incomplete evidence.
What model or provider changes should a buyer insist on being told about?
Material change usually includes a new model family, new region, new subprocessor, new write-capable tool, or a change that affects logging, privacy or human oversight. Those changes should trigger evidence refresh rather than a silent release.
How should buyers verify where AI customer data is processed?
Ask for the named processing locations, cloud regions and any subprocessors that see prompts, files or outputs. A directory listing is not evidence of residency. Independent assessment records the locations that were in scope on the assessment date.
Does a TrustMark on one product cover the rest of the company?
No. Independent assessment is scoped to the named organisation and, where relevant, the named product. Category pages list suppliers as a topic label. They do not imply that every listed company has been assessed.
What incident-handling evidence is useful for AI suppliers?
Buyers should see how AI-specific failures are detected, contained and notified — including unsafe outputs, data leakage and unauthorised agent actions. An incident policy that never mentions models, prompts or tools is incomplete for this class of product.