Axiom
San Francisco, US · Founded 2020 · 55 employees on LinkedIn · 5 known investors
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Axiom is a fully managed, petabyte-scale event store and observability platform that ingests schema-less, high-cardinality event data and lets teams query it using its piped query language (APL). It targets engineering teams handling large log and telemetry volumes, positioned as an alternative to Splunk and Datadog, with native support for AI-agent querying.
Also known as Axiom · axiom.co
Founders & leadership
Axiom was founded in 2020 by Seif Lotfy.
Investors · 5
Funding
SEC filings, press & company announcementsSource: company announcements and press reports — follow each round's link for the claim.
Company profile
researched Aug 2026Axiom operates a machine data platform that collects, stores and analyzes event and telemetry data at large scale. The product combines two purpose-built data stores with a unified web console: EventDB, a datastore optimized for timestamped event data that supports schema-less ingestion, linear scaling, serverless on-demand query runtimes and storage compression the company describes as 25-50x; and MetricsDB, a metrics store engineered for high-cardinality time-series data, designed to accept high-cardinality dimensional tags without performance or cost penalties.
The console provides real-time exploration of data streams, visualizations ranging from simple counts to aggregations, and threshold-based and anomaly-driven alerting. Querying is done through APL, a piped, sequential, log-oriented query language running on the event store, and MPL, a companion language in the same style built for the metrics engine. The architecture is stream-oriented and schema-on-read, with virtual fields for query-time transformation and no indexes or ingest-time schema definitions to manage. Axiom positions the platform for observability workloads (logs, metrics, traces), LLM observability, product analytics and other machine data use cases, and supports AI agent workflows, including an interface through which agents can provision a temporary organization via a single API request.
Business model
Axiom sells access to a hosted, multi-tenant data platform on a self-serve and sales-assisted basis, with a permanent free tier, self-serve enterprise add-ons and a "Talk to sales" motion for larger deployments.
Usage-based pricing applied as a single dial across logs, traces, metrics and events, rather than separate SKUs or overage tiers. Volume discounts are applied automatically in the console and per-unit rates decline at higher tiers, so total cost is described as growing sub-linearly with usage.
Traction
Documentation states the platform is used by more than 30,000 organizations, spanning startups through global enterprises, with named customer references including Cal.com.
▸Full profile — market position, technology, go-to-market, geography
Market position
Positions itself against established observability vendors on cost and simplicity, publishing comparisons of an equivalent workload against Grafana Cloud Pro, self-hosted ELK plus S3 archive, Datadog and Splunk Observability Cloud, and framing its query experience as the Splunk-style workflow on lower-cost infrastructure.
Emphasis on retaining all data without sampling through schema-less, petabyte-scale ingest and high compression; a single usage-based pricing dial instead of multi-SKU pricing; a fully managed service that removes cluster operations, schema migrations and capacity planning; and query languages designed to be used by both humans and AI agents.
Technology
Proprietary data stores: EventDB for timestamped event data (schema-less ingest, no middleware, linear scaling, serverless ephemeral query runtimes, tuned storage format compressing data 25-50x) and MetricsDB for high-cardinality time-series metrics. A stream-oriented, schema-on-read design with virtual fields for query-time transformation removes index management and ingest-time schema decisions. Two query languages, APL for events/logs and MPL for metrics, both use piped sequential processing and are also used as primitives by AI agents.
Go-to-market
Self-serve product-led signup with a free tier and an interactive demo playground, supplemented by a direct sales channel for enterprise deployments; documentation and integrations with common telemetry pipelines (OpenTelemetry, Vector, Fluent Bit, Kinesis Firehose, Vercel) support developer adoption. Customer references include Cal.com.
Engineering, observability and platform teams at organizations generating high volumes of machine data, from high-growth startups to global enterprises; the docs cite 30,000+ organizations.
Geography
Operates as a globally remote team, hiring across multiple countries.
Compiled by commissioned research from 8 cited public sources — announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed — not independently audited.
In the news
Axiom Secures Seed Funding from Kakao Ventures and Futureplay - WOWTALEen.wowtale.net · Aug 2026▸Research sources · 8
primary sources listed
- Axiomaxiom.co · web
8 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does Axiom do?
- Axiom is a fully managed, petabyte-scale platform for ingesting, storing and querying event, log, metric and trace data.
- Who founded Axiom?
- Axiom was founded by Seif Lotfy in 2020.
- Who are Axiom's investors?
- Axiom's investors include Crane Venture Partners, Fly Ventures, Mango Capital, FuturePlay, Kakao Ventures.
- Where is Axiom headquartered?
- Axiom is headquartered in San Francisco, US.