Axiom

Axiom is an agent-native observability platform that unifies logs, metrics, traces, and events into a single high-scale data pipeline built for both human engineers and automated AI agents. The platform serves over 40,000 organizations with petabyte-scale data ingestion achieving 95 percent or higher compression ratios, enabling teams to store and query massive volumes of observability data at a fraction of traditional costs. The Axiom Processing Language, or APL, provides a piped query syntax for filtering, transforming, and aggregating event data with support for virtual fields and computed columns. Cross-signal correlation connects logs, traces, and metrics across distributed systems, while the column-aware Sortable interface accelerates query performance by 2x to 26x compared to conventional approaches. MetricsDB technology uses dynamic subrings for efficient high-cardinality metric storage. The platform supports edge data residency for compliance with regional data regulations. Integration ecosystem includes OpenTelemetry, AWS Lambda, Cloudflare, Netlify, Vercel, Vector, Logstash, and standard syslog protocols. Notable customers include Cal.com, Plex, Audius, Salad, Unkey, Hapn, Netlify, Vercel, Framer, Asana, M1 Finance, Luma AI, The Metropolitan Museum of Art, Attio, Prisma, Convex, and Hashnode. Case studies document Monks achieving 40 percent cost reduction and Hapn querying petabyte-scale AWS Lambda event streams covering four billion messages. Bailey Pumfleet, founder and CEO of Cal.com, and Andres Hernandez, co-founder and CTO of Hapn, provide public testimonials. The company operates as Axiom Incorporated, founded in 2020.