The autonomous data platform

Data products in days — built by agents, approved by you.

Blunox pairs an AI data engineering team with real-time replication — so your backlog ships in days, not sprints, with a human approving every change.

Bring one real workload to a 30-minute session — we'll run it live.

Days, not sprintsHuman-approved every change<1s replication lag
Built by data engineers previously atGOOGLEORACLEBNYLLOYDS
One platform, end to end

Capture, build, govern, evolve — continuously.

Blunox streams your source data in real time, builds pipelines on top of it with human-approved AI agents, and governs the whole flow — from source binary to warehouse table.

01

Capture

Fresh source data lands in your warehouse with <1s lag, exactly-once — tested to 2.4M events/sec in the lab.

02

Build

Agents turn one plain-language request into a tested, documented pipeline — with a human approving the plan.

03

Govern

One Context Graph, full lineage, and an audit trail of every approval across the entire flow.

04

Evolve

Agents watch 24/7, catch schema drift before dashboards break, and propose validated fixes.

Get started

Start where you need it most.

Adopt the whole platform — or start with the piece your team needs today.

Built for enterprise from day one

Architected to meet your controls.

Governance isn't a future module — it shapes the architecture. Data stays in your cloud via pushdown execution, identity plugs into your existing IdP, and access is scoped from the first deploy.

Pushdown execution
Data stays in BigQuery, Databricks, Redshift — we never copy it out
SSO-ready
SAML / OIDC integration on the roadmap for general availability
RBAC scopes
Account · project · environment access from day one
SOC 2 Type II
In progress — full audit underway ahead of GA

We've spent years writing the same pipelines, the same way, in every job. The pattern is the work — so it should be the software, not the team.

— Why we're building Blunox

Ship your backlog in days, not sprints.

Bring one real workload — we'll take it from request to production in a live session.