Public company, workplace, funding, and market signals
Updated Jul 29, 2026
Atla builds an evaluation and improvement layer for AI agents: a monitoring/observability platform that automatically detects, clusters, diagnoses, and helps fix agent failures, plus Selene LLM-as-a-Judge models for evaluation.
Primary product
AI agent evaluation and improvement platform
Founded
2023
Headquarters
London, United Kingdom
Team size
1-10 employees
Industry
Software Development
Sub-industry
AI agent evaluation and observability software
Offices
Business model
Stage
Seed
Total raised
$5.5M
Latest round
Seed · Dec 2023
Latest amount
$5M
Dec 2023 · Creandum
Jul 2023
Research-driven and builder-focused, with a small highly technical team, explainability by default, speed with depth, and an emphasis on solving root causes instead of symptoms.
Pricing
Tiered freemium SaaS with a free Developer plan, a $199/month Startup plan, and custom Enterprise pricing; pricing is also tied to trace volume and higher-volume/privacy-sensitive deployments.
Differentiators
Technology
Customers
Competitors
Y Combinator · Sep 2025
Launch announcement describing Atla’s product as a system that identifies recurring agent failures, annotates errors at the step level, clusters patterns, and generates targeted fixes; it also cites customer impact examples and Selene’s 60k+ downloads.
Atla blog
Announcement of an MCP server that exposes Atla’s purpose-built LLM judges through Model Context Protocol.
Atla blog
Product release announcing Selene Mini, an 8B LLM-as-a-Judge model available via API.
Atla blog
Customer case study saying Fieldy uses Atla with LangSmith to ship agent improvements faster and compare versions more effectively.
Atla blog
Customer case study describing how ClaimWise uses Atla to find prompt failure modes in days instead of weeks and turn trace reviews into improvement tickets.
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