We build the infrastructure that makes data agents actually work.
Altimate AI has a specific obsession: to build autonomous agents that can be trusted with production data.
HUMANS CARRY CONTEXT
The data stack is full of context that lives in engineers' heads: The revenue recognition model was built a certain way because of an ASC 606 ruling in 2021; the warehouse is sized the way it is because of a $340K incident in Q3 2024; the join logic in that pipeline encodes a business rule that was never written down anywhere except in a Slack message that's now three years old.
For twenty years, that was fine. Humans carry context. They slow down when they're uncertain. They ask questions.
When agents act on production data, they hit that context gap at machine speed. They don't slow down. They execute — confidently, incorrectly, at scale. We built Altimate because that gap has a solution: a context graph structured for agent consumption, governance guardrails that know your stack, and infrastructure built for how agents actually work. Not retrofitted from human systems. Built from the ground up for the agent-first data stack. That's what we've been building. That's what we're still building.
THE PLATFORM IS ALREADY IN PRODUCTION.
Three years of production deployments — and the intelligence built from that work — is now the foundation of everything we ship. The context graph, the cost models, the confidence thresholds: all of it was built, validated, and proven in enterprise production systems.
Founded. Started working directly with Fortune 500 data teams on platform automation.
dbt Power User launched. First 10K downloads.
100K downloads. Cost intelligence reaches 85% accuracy. Enterprise customer base established.
Datamates MCP Engine launched. 70+ tools across 12 integrations. Context graph architecture formalized.
500K+ dbt Power User downloads. 30K weekly active users. Agent decision loop architecture completed.
Altimate Code launched. Open-source, MIT licensed. ADE-bench: 74.4%. 780K total installs.
BACKED BY WORLD-CLASS INVESTORS AND ADVISORS.
WE'RE HIRING.
Small team. Real problems. Every engineer ships things that end up on the platform.
- 01PASSShipped something non-trivial you can walk us through.
- 02PASSOpinions about data engineering from doing it.
- 03PASSKnow the difference between prototype and production.
- 01FAILRead about it. Never built it.
- 02FAILResume optimizers.
- 03FAIL"Move fast, break production" types.





