We build the context your agents run on
Built by data & ML leaders from Visa, LinkedIn, Apple, and Branch Metrics - zaimler builds your context layer automatically, across all data sources, and keeps it yours.
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Meet the team
The people behind the knowledge graphs, data federation, and semantic systems at LinkedIn, Snowflake, Apple, and Visa, now building the layer underneath all of it: what your data actually means.
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Our story
For twenty years we were the person who knew what the data meant. We built zaimler so your agents can have that person built in.
Every data system we built at Visa, LinkedIn, and Branch Metrics ran on the same unwritten dependency: a person who knew that "policy" joins to "claim" through a table nobody documented, and that "customer" means three different things in three different systems. When an answer had to be right, someone walked over to that person. For most of our careers, we were that person. And we met at Branch Metrics.
We saw it again and again. Every company, every ML system, hit the same gap: models that worked in testing degraded in production. What starved them was the business context around them, thin and stale and barely curated. So teams kept fixing it by hand, building one more version of the same data curation layer. Then agents showed up, and the gap got worse.
We built the company the way our buyers evaluate software: prove it first, then talk. Engineers put the product into design partners' environments in 2025; by winter a Fortune-scale customer was paying for it. We were SOC 2 certified before we had a website worth visiting, because in regulated industries that is the right order.
Our Offices
Headquartered in San Mateo, with engineering in Bangalore and teams in New York and Austin.
