Comet
Techstars '17New York City, US · Founded 2017 · 101 employees on LinkedIn · 13 known investors
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Comet builds infrastructure for developing, evaluating, and deploying AI applications in production. The platform provides LLM observability and evaluation tools for generative AI applications and agentic systems.
Also known as Comet ML · comet_ml
Founders & leadership
Comet was founded in 2017 by Gideon Mendels and Nimrod Lahav.

Investors · 13
How we know: funding news · ufofeed.com · open dataset · 5k.vc investor directory · Not right? Tell us
How we know: Invest In Data's portfolio page · Not right? Tell us
How we know: OpenView Venture Partners's portfolio page · Not right? Tell us
How we know: Wikidata · a partner's Signal profile · research · comet.com · open dataset · 5k.vc investor directory · Not right? Tell us
How we know: the Techstars portfolio · open dataset · Top 3000 Accelerator Startups (no YC) 2026-08 · open dataset · 5k.vc investor directory · Not right? Tell us
How we know: Trilogy Equity Partners's portfolio page · the VCSheet dataset · research · comet.com · Not right? Tell us
How we know: Union Bay Partnes's portfolio page · Not right? Tell us
How we know: open dataset · 5k.vc investor directory · Not right? Tell us
How we know: ufofeed.com · open dataset · 5k.vc investor directory · Not right? Tell us
How we know: research · comet.com · Not right? Tell us
How we know: ufofeed.com · funding news · Not right? Tell us
Also in the syndicate · 1
Funding
SEC filings, press & company announcements- Undisclosed amountSeries BSep 2026 · 6 sources
Verlinvest (lead), Elevation Capital, Nexus Venture Partners
Source ↗
Source: company announcements and press reports — follow each round's link for the claim.
Company profile
researched Sep 2026Comet builds infrastructure that development teams use to create, evaluate and improve AI applications and move prototypes into production systems. Its flagship open-source product, Opik, provides LLM observability and evaluation for generative AI applications and agentic systems: traces capture each step an agent takes, from context retrieval and tool selection through user feedback scores, and can be instrumented through more than 60 integrations or accessed by coding agents via an MCP server. Opik's Diagnostics feature surfaces errors from large volumes of traces, groups recurring issues, identifies root causes and recommends fixes even absent explicit error messages, while an embedded agent called Ollie reads traces and proposes code-level fixes to tool calls, retrieval steps and system prompts.
Beyond tracing and debugging, the platform offers Test Suites for pass/fail scoring of trace sets against defined goals, golden datasets and more than 40 LLM-as-a-judge evaluation metrics, human annotation by expert reviewers, and automated prompt engineering and optimization for multi-step agentic systems. Production capabilities include dashboards, alerting, model cost tracking and governance support, plus Cost Intelligence for monitoring engineering teams' spend on coding agents such as Claude Code and Codex across MCP installs, skills, model selection, context retrieval and configuration.
Comet also retains its earlier MLOps product line, Experiment Management, which tracks and compares model training runs with custom visualizations, model versioning, dataset management (including Comet Artifacts) and production monitoring, and integrates with frameworks such as PyTorch, PyTorch Lightning, Keras, Scikit-learn, TensorFlow, Spark NLP, Amazon SageMaker, Google Vertex AI, GitLab and New Relic.
Founding story
Comet launched in 2017. CEO and co-founder Gideon Mendels is a computer scientist and ML researcher who previously co-founded GroupWize, where NLP models were trained and deployed to process billions of chats, and worked on hate speech and deception detection at Columbia University and Google. CTO and co-founder Nimrod Lahav is a computer scientist and software engineer who held leadership and engineering roles at Wix, VMware and Amdocs before co-founding GroupWize, whose team deployed more than 50 NLP models in 15 languages; he holds a bachelor's degree from the Academic College of Tel Aviv, Yaffo.
Business model
Comet sells a developer platform on a freemium basis: the Opik LLM observability and evaluation layer is available as open source and can be self-hosted, tried in Comet's cloud, or deployed under custom enterprise arrangements. Accounts are free to create with no credit card and a free tier intended for ongoing use, and the platform is free for individual users, early-stage startups and academic teams, with paid enterprise offerings sold through a sales team and demos. Deployment options include on-premises, cloud and hybrid.
Revenue comes from paid subscriptions to the commercial Comet platform and enterprise deployments layered on a free tier and an open-source core; the company reported 5X annual recurring revenue growth in the 12 months to November 2021.
Traction
Comet reports more than 150,000 users, over 10,000 teams, 22,000+ GitHub stars for Opik and 450 enterprise, startup and academic teams, alongside $70M in funding and 80 employees in 14 countries. In November 2021 the company reported over 150 customers, including Ancestry, Cepsa, Etsy, Uber, WorkFusion and Zappos, 5X ARR growth and a 3X increase in its global workforce over the prior 12 months; Zappos cited a Comet-supported ML model that reduced size-related order returns by about 10%.
Latest developments
Recent platform work centers on connecting observability to remediation: Opik's Diagnostics detects and groups recurring trace issues and recommends fixes via an MCP server, the Ollie agent proposes and tracks fixes inside Opik, Test Suites and LLM-as-a-judge evaluations validate changes, and Cost Intelligence gives engineering leaders visibility into Claude Code and Codex usage and token waste. Comet reports 22,000+ GitHub stars, 150,000+ users and 10,000+ teams on the platform.
▸Full profile — market position, technology, go-to-market, geography, history
Market position
Comet describes itself as an end-to-end AI evaluation and developer platform spanning MLOps experiment management and generative AI observability, and states that Opik has become one of the fastest-growing open-source tools for LLM evaluation and observability, used across startups, research labs and global enterprises. Its leadership team draws on experience from AWS, Grafana Labs, GitLab, Google, Teradata, Oracle, VMware, Wix and Yale University, including sales leadership from AI-first companies Weights & Biases and Galileo.
Comet positions Opik as both fully open source and backed by Comet's enterprise-grade infrastructure, citing fast ingestion and display of high volumes of traces, security standards aimed at large organizations, and flexible hosting via self-hosted open source, cloud or custom deployments. The company also emphasizes combining capabilities that it says are often split across vendors — experiment tracking together with model monitoring in the MLOps product, and observability connected to evaluation and automated code fixes in Opik, so trace data and eval results feed back into remediation.
Technology
The platform is built around instrumented tracing of LLM and agent executions, with SDK decorators (e.g. Python @track) and callback handlers for frameworks such as LangChain, LlamaIndex and the OpenAI client, plus an MCP server that exposes trace context to coding agents. Evaluation relies on golden datasets, test suites and LLM-as-a-judge metrics, with automated prompt and agent optimization; diagnostics clusters similar failures and infers root causes. The MLOps side uses the comet_ml library to log metrics, hyperparameters, code, model predictions, dataset versions and model registries from training frameworks including PyTorch and PyTorch Lightning.
Go-to-market
Comet combines open-source and product-led distribution with enterprise sales. Developers can adopt the open-source Opik project from GitHub or sign up for a free cloud account without a credit card, adding a few lines of code and using one of 60+ framework integrations; enterprise buyers are engaged through demo requests, a contact-sales motion and custom deployment discussions. The company maintains ties to the data science and ML communities, including the Heartbeat publication and the Deep Learning Weekly newsletter, and has built an ecosystem of integrations with major ML and cloud tooling.
Comet serves developers, data science and machine learning teams, and AI engineering organizations building chatbots, RAG pipelines and autonomous agents, ranging from individual users, early-stage startups and academic and research teams to large enterprises. Named customers have included Ancestry, Cepsa, Etsy, Uber, WorkFusion and Zappos.
Geography
Comet is headquartered in New York City with offices in Tel Aviv, and operates a global, remote-first workforce of roughly 80 employees across 14 countries.
History
Comet launched in 2017 and was built by co-founders Gideon Mendels and Nimrod Lahav, who had previously worked together at GroupWize. The company initially focused on experiment tracking and model management for machine learning teams, and by November 2021 reported over 150 customers and 5X ARR growth, raising a $50 million Series B led by OpenView with participation from Scale Venture Partners, Trilogy Equity Partners and Two Sigma Ventures; Ofer Bengal (Redis) and Oren Etzioni (AI2) joined as strategic advisors. Comet also acquired Stakion, a production ML monitoring platform whose founder Jacques Verré became Comet's Head of Product. The company later extended from MLOps experiment management into generative AI tooling with Opik, its open-source LLM observability and evaluation product, which has since added trace diagnostics, an in-product fix agent called Ollie, test suites and coding-agent cost tracking. As of its current About page, Comet reports 80 employees across 14 countries, $70M in funding and 450 enterprise, startup and academic teams.
Compiled by commissioned research from 9 cited public sources — announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed — not independently audited.
Founder mafia
2 people who came through Comet went on to found or lead other companies.
Related companies · 3
Companies working in the same space as Comet.
Timeline · 4
launches, deals, and filingsComet's Opik platform offers Diagnostics for grouping recurring trace issues and identifying root causes, the Ollie in-product agent that recommends fixes, Test Suites and LLM-as-a-judge evaluations, and Cost Intelligence for tracking Claude Code and Codex coding-agent spend.
Comet announced a product release including user interface enhancements and Comet Artifacts for managing dataset versions across the ML pipeline, plus CI/CD integrations for deploying models into production.
Comet added two ML-focused publications to its community: Heartbeat, a community-led publication for data science and ML practitioners, and Deep Learning Weekly, a curated industry newsletter.
Comet acquired Stakion, a platform founded by Jacques Verré (now Comet's Head of Product) that monitored machine learning models in production for breaking changes and concept drift.
Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.
▸Research sources · 9
primary sources listed
- Cometcomet.com · web
9 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does Comet do?
- Comet builds an AI developer platform whose open-source Opik product provides LLM observability, evaluation and agent optimization.
- Who founded Comet?
- Comet was founded by Gideon Mendels, Nimrod Lahav in 2017.
- Who are Comet's investors?
- Comet's investors include Elevation Capital, GiTV, Inc., Invest In Data, OpenView Venture Partners, Scale Venture Partners, Techstars, Trilogy Equity Partners, Union Bay Partnes and 4 more.
- Where is Comet headquartered?
- Comet is headquartered in New York City, US.












