Laminar · May 2026
Product update explaining Laminar's trace storage approach and the claimed ~20x storage savings for long-running agent traces.
Understand why your AI agent breaks. Iterate fast to fix it.
Public company, workplace, funding, and market signals
Laminar is an open-source, OpenTelemetry-native observability and debugging platform built for AI agents. It helps teams trace, replay, debug, and evaluate long-running agent workflows with transcript-style traces, natural-language Signals, and a managed cloud or self-hosted deployment option.
Primary product
Open-source observability and debugging platform for AI agents (Laminar Cloud / self-hosted Laminar)
Founded
2024
Headquarters
San Francisco, California, United States
Team size
1-10
Industry
Information Services
Sub-industry
AI agent observability / developer tools
Business model
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Stage
Seed
Total raised
$3.6M
Latest round
Seed · Mar 2026
Latest amount
$3M
Investors
Engineering-first, open-source, and performance-obsessed; public messaging emphasizes fast iteration, self-hostability, Rust-based infrastructure, and helping teams ship and debug reliable agents.
Pricing
Freemium SaaS with usage-based data and Signals pricing, plus custom enterprise / on-premise licensing.
Differentiators
Technology
Customers
Competitors
Laminar · May 2026
Product update explaining Laminar's trace storage approach and the claimed ~20x storage savings for long-running agent traces.
Atlantic.vc · Mar 2026
Investor write-up on Laminar's stealth exit, founding team, and the $3M seed led by Atlantic.vc.
FinSMEs · Mar 2026
Funding announcement recap noting the Atlantic.vc-led seed round and Laminar's Rust-based, open-source observability platform for AI agents.
Tech.eu · Mar 2026
Independent coverage of Laminar's $3M seed round and product focus on long-running AI agent observability, browser replay, and agent debugging.
Laminar · Mar 2026
Official launch post announcing the $3M seed round led by Atlantic.vc, with participation from Y Combinator, AAL.vc, Ben Sigelman, and Ant Wilson, and describing Laminar's agent observability platform.