Laminar
YC S24London, GB · Founded 2024 · 6 employees · 3 known investors
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 Laminar AI
Founders & leadership· Y Combinator alumni (S24)
Laminar was founded in 2024 by Robert Kim and Din Mailibay.
RK
Robert Kimin𝕏Founder & 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.
DM
Din Mailibayin𝕏Co-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.
Investors · 3
Also in the syndicate · 1
Atlantic.vclead
Funding
SEC filings, press & company announcements$3M disclosed across 1 round · 2026
- $3MSeedMar 2026 · 3 sources
Atlantic.vc (lead), AAL.vc, Y Combinator
Source ↗
Source: company announcements and press reports — follow each round's link for the claim.
Competitors · 10
by search overlap
Braintrust21 shared keywordsBraintrust 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.
Langfuse20 shared keywordsLangfuse 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.
Hugging Face16 shared keywordsHugging 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.
Langwatch16 shared keywordsLangWatch'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.
Zenml16 shared keywordsKitaru, 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.
Confident AI15 shared keywordsConfident AI is a platform for evaluating, monitoring, and governing AI systems in production. It enables teams to standardize testing practices, track quality and latency metrics, and enforce governance policies across multiple AI initiatives.
Respan14 shared keywordsRespan 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.
Helicone13 shared keywordsHelicone provides infrastructure for AI companies to route, debug, and analyze their applications. The platform serves developers and organizations building AI systems.
Cekura13 shared keywordsCekura provides testing, monitoring, and optimization tools for voice and chat AI agents. The platform enables developers to simulate scenarios, run evaluations before production, replay real conversations, and continuously improve agents through voice observability and analytics.
Latitude data12 shared keywordsLatitude provides monitoring and debugging tools for AI agents in production, analyzing conversation sessions to identify failures and automatically dispatching coding agents to implement fixes. The platform serves AI development teams and offers observability, issue detection, and automated fix generation.
Companies competing with Laminar for the same Google search keywords, organic and paid, via search-intersection analysis.
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 in 2024.
- Who are Laminar's investors?
- Laminar's investors include Y Combinator, AAL VC.
- How much funding has Laminar raised?
- Laminar has disclosed $3M raised across 1 round.
- Where is Laminar headquartered?
- Laminar is headquartered in London, GB.