Research

Agents that plan, query, and verify on their own — with an audit trail for every step, so a long chain of analytical work can be trusted end to end.

How a company's definitions become code a machine can execute: semantic layers assembled from the systems already running, reviewable in Git, readable by any agent.

Accuracy measured on real schemas and real questions — where an approach holds, where it falls to zero, and why. The failure modes publish beside the wins.

The compute under the agents: disposable sandboxes that boot already knowing the data, and zero-copy transport that makes a petabyte warehouse feel local.