Build the context layer for enterprise agents
zaimler is the context layer for production agents. We build an ontology automatically from the data an enterprise already has, federate it across every warehouse and app, and resolve it at query time, so agents reason on what's true, not what's similar
Meet the team
Engineers and researchers from Meta, LinkedIn, Apple, Snowflake, and Atlassian, across San Mateo, New York, Texas, and Bangalore.
Eric Wu
Forward Deployed Engineer
Forward-deployed engineer at zaimler. After graduating from Carnegie Mellon, Eric spent over a decade in various product and engineering roles. Outside the office, you'll likely find him at the gym, playing Dota 2, or stacking coupons at his local grocery store.
Graphs in production, not papers.
Our founders spent two decades on the problem we solve now: entity resolution at Visa and Branch, the skill graph at LinkedIn. That work is now knowledge graphs that resolve entities at runtime and run in production inside some of the largest institutions in the world.
Teach enterprise AI how to work
Small team, full ownership.
Every enterprise was promised agents. Most got pilots, because the agent never knew the business: what a claim is, how exposure rolls up, which "customer" is the real one. That knowledge lives in people's heads, and agents cannot ask a person. We build the layer that turns that knowledge into software.
Ontology automation. Runtime graph traversal. Entity resolution at runtime. Federation, zero-copy. Governance in the access path.
No split between strategy and execution. You scope the problem and ship it.
You've been the person the dashboard depended on, pulled into other teams' problems because you knew where the data was buried. Researchers who want their graph in production with real claims paying out against it, not sitting in a paper. GTM people who'd rather hand a chief architect the keys to break the platform than read them a pitch.
San Mateo, with teammates in Bangalore, New York, and Texas.
Join us
If the open roles don't fit but the problem does, write to us anyway