/Companies

Laminar

YC S24

London, GB · Founded 2024 · 6 employees · 9 known investors

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Laminar is an observability and debugging platform for AI agents that captures failures, surfaces root causes, and confirms fixes through trace visualization, automated anomaly detection, and eval-driven development. It serves AI teams building and iterating on agent applications.

Also known as LMNR AI, Inc. · Laminar AI

Founders & leadership· Y Combinator alumni (S24)

Laminar was founded in 2024 by Robert Kim, Din Mailibay, and David Lu.

RKRobert Kim
Robert KimFounder & CEOHe previously interned at Palantir, where he contributed to semantic search infrastructure and resource allocation systems, and at Bloomberg, where he worked on market data processing pipelines.
DMDin Mailibay
Din MailibayCo-FounderHe previously worked at Amazon for two years on payments infrastructure and spent a year building ML infrastructure at a drug discovery biotech startup in Korea.
DLDavid Lu
David LuFounderHe conducted research at Brown University's School of Engineering in the Peterson Lab, along with earlier stints in the Sun and Sello labs, an exchange fellowship at the Technical University of Munich, and a research scholarship at Berkeley Lab. He also spent time as an engineering researcher at Boeing and has been named to the Forbes 30 Under 30 list.
EAEdward Aryee
RKRaj Kadiyala
TM
Temirlan Myrzakhmetov

Investors · 9

Also in the syndicate · 1

Atlantic.vclead

Funding

SEC filings, press & company announcements

$3M disclosed across 1 of 2 rounds · 2021–2026

Source: company announcements and press reports — follow each round's link for the claim.

Founder mafia

3 people who came through Laminar went on to found or lead other companies.

Related companies · 10

BraintrustBraintrust provides AI observability and evaluation platform that monitors production AI systems to surface patterns, define quality standards, and automate improvements. The platform serves AI teams across engineering and product organizations.
Airtrain AIAirtrain AI provides a no-code platform for preparing and evaluating training data to fine-tune open-source language models as alternatives to proprietary AI models. The platform serves AI practitioners seeking to reduce costs and improve reliability when deploying language models in production.
LangfuseLangfuse is an open-source AI engineering platform that helps teams build and monitor production-grade LLM applications. It provides observability and analytics for teams building with large language models and generative AI.
RespanRespan provides infrastructure for teams to trace, evaluate, and monitor AI agent workflows in production at scale. The platform helps developers and enterprise teams operate large language model applications reliably through observability and quality improvement tools.
Hugging FaceHugging Face is a collaboration platform that hosts and provides access to machine learning models, datasets, and applications. It offers both open-source tools for the ML community and paid compute and enterprise solutions for teams building AI applications.
Query VaryQuery Vary provides a no-code platform for building workflows that connect software inputs to large language models and output integrations, enabling tasks like data extraction from transcripts, documentation chatbots, and form-to-report automation.
LangwatchLangWatch's Scenario is an open-source tool that runs multi-turn adversarial "red-team" tests against AI agents, simulating jailbreaks, prompt extraction, data exfiltration, and other attacks to find vulnerabilities before deployment. It targets teams shipping AI agents to production, integrating with any agent via a thin adapter and adding adversarial coverage to CI pipelines.
BaserunBaserun provides testing and observability tools for LLM applications, helping teams monitor latency, costs, and output quality while debugging and evaluating model behavior.
ZenmlKitaru, built by ZenML, is a replay-based evaluation tool for AI agents that turns real production traces into replayable test sessions, letting teams re-run their agent's actual code against recorded inputs to test changes, swap models, and catch regressions. It is aimed at engineering teams shipping AI agents to customers, and integrates with observability tools like Langfuse, LangSmith, Braintrust, Logfire, and Arize Phoenix.
RootlyRootly provides AI-powered on-call and incident management software that integrates with Slack and Teams to help engineering and SRE teams page, schedule, diagnose, and resolve incidents faster. It also offers automated status pages and post-incident analysis for teams that require high system availability.

Companies working in the same space as Laminar.

Legal entities · 1

corporate structure
LMNR AI, Inc.

In the news

Frequently asked questions

What does Laminar do?
Laminar is an observability and debugging platform for AI agents that captures failures, surfaces root causes, and confirms fixes through trace visualization, automated anomaly detection, and eval-driven development. It serves AI teams building and iterating on agent applications.
Who founded Laminar?
Laminar was founded by Robert Kim, Din Mailibay, David Lu in 2024.
Who are Laminar's investors?
Laminar's investors include Atlantic, Leo Capital Ventures, Y Combinator, 2048 Ventures, AAL VC, Atlantic Labs, Insight Partners, Techstars.
How much funding has Laminar raised?
Laminar has disclosed $3M raised across 1 of its 2 known rounds.
Where is Laminar headquartered?
Laminar is headquartered in London, GB.