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Comet ML Platform

Platform for LLM observability, agent debugging, and ML experiment tracking.

Venture Funded$40MSeries BScale Venture PartnersAmplify PartnersCostanoa Ventures

experiment trackingmodel monitoringcollaborationscalability

About

The vendor describes Comet ML Platform as an end-to-end AI evaluation platform with two main components: Opik for LLM observability and agent debugging, and MLOps tools for model training. Opik provides tracing to log and visualize agent steps, with over 60 integrations. The platform includes Diagnostics to detect silent errors across traces and group recurring issues. Ollie, an agent that lives inside Opik, analyzes traces and recommends fixes for tool calls, context retrieval, and system prompts. The vendor states Opik supports Test Suites for pass/fail results and evaluations with over 40 LLM-as-a-judge metrics. Production dashboards track model costs and performance. Cost Intelligence tracks Claude Code and Codex usage. The platform includes experiment management for model training with custom visualizations, model versioning, dataset management, and production monitoring. The vendor offers cloud hosting and an open-source version on GitHub.

Read from comet.com on 2026-08-26. We describe what the vendor states; we do not audit it.

Enterprise Readiness

from cataloged data

70/100 · Strong

Security & ComplianceNot disclosed

No compliance certifications listed

Deployment FlexibilityStrong

Flexible deployment: Cloud, On-Premise, Hybrid, Self-Hosted

Integration DepthStrong

8 documented integrations

Proven AdoptionPartial

6 documented use cases

Company MaturityStrong

Founded 2015 · Series B

Composite of public compliance, deployment, integration, adoption, and company signals. “Not disclosed” reflects gaps in available data, not a vendor deficiency.

Independently sourced

Pulled directly from regulator filings and platform APIs. No vendor or editorial input.

Activity classifier

Active

last GitHub commit 1d ago

GitHub API2026-05-27

comet-ml

Open source product· 21.6k★· Apache-2.0· active 3mo ago

Python · Jupyter Notebook · Java · TypeScript

cooling · +876★ (+4.2%) 30d

npm registry

opik

v2.0.48· Apache-2.0· released 3mo ago

Status page

Operational

operational· via statuspage· 0 incidents (90d)

OSV vulnerability feed2026-08-24

No known advisories

Enterprise Use Cases

Machine learning experiment tracking

Model performance monitoring

Collaboration across data science teams

Automated model versioning and lineage

Governance and compliance reporting

Scalable model deployment workflows

Integrations

AWS SageMakerAzure MLGoogle Cloud AI PlatformTensorFlowPyTorchKubernetesMLflowDatabricks

How Comet ML Platform compares

Tool	Readiness	Pricing	Deployment	Compliance	Integrations
Comet ML Platform	70 · Strong	Enterprise	Cloud, On-Premise, Hybrid, Self-Hosted	—	8
Groq	Not scored	Enterprise	Cloud, On-Premise, Hybrid, Self-Hosted	—	8
Weights & Biases W&B	Not scored	Freemium	Cloud, On-Premise, Hybrid, Self-Hosted	—	8
DataRobot MLOps	70 · Strong	Enterprise	Cloud, On-Premise, Hybrid	—	8

Peers from the same category, ranked by Enterprise Readiness. Readiness is a composite of cataloged compliance, deployment, integration, adoption, and company signals.

Frequently Asked Questions

What is Comet ML Platform used for?

Comet ML Platform is platform for LLM observability, agent debugging, and ML experiment tracking. It is commonly used for machine learning experiment tracking, model performance monitoring, collaboration across data science teams, and automated model versioning and lineage.

Is Comet ML Platform free, and how is it priced?

Comet ML Platform uses enterprise pricing, typically a custom quote based on seats, usage, and requirements. Contact the vendor for a quote.

How can Comet ML Platform be deployed?

Comet ML Platform supports Cloud, On-Premise, Hybrid, and Self-Hosted deployment. On-premise and self-hosted options support data-residency and air-gapped requirements.

What does Comet ML Platform integrate with?

Comet ML Platform documents 8 integrations, including AWS SageMaker, Azure ML, Google Cloud AI Platform, TensorFlow, PyTorch, and Kubernetes.

When was Comet ML Platform founded?

Comet ML Platform was founded in 2015 and has raised $40M in funding.

Is Comet ML Platform enterprise-ready?

Based on cataloged data, Comet ML Platform has an Enterprise Readiness score of 70/100 (Strong tier), derived from its compliance, deployment, integration, adoption, and company-maturity signals.

Quick Facts

PricingEnterprise

DeploymentCloud, On-Premise, Hybrid, Self-Hosted

Founded2015

Funding$40M

CategoryData & MLOps

Procurement

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