Zaimler builds the context infrastructure for the agentic era. Their platform automatically discovers domain knowledge, maps relationships, and gives AI agents the semantic understanding to operate with precision at scale. Enterprise data today is fragmented across dozens of systems with no shared context, meaning, or structure, and that's why most enterprise AI is failing. The shift from copilots to autonomous agents is creating an entirely new infrastructure layer, and zaimler is building it.
The company creates knowledge graphs that support real-time inference, built for systems that need to reason, not just retrieve. Their platform enables enterprises to make their data AI-ready from the start: automating ontology creation, data mapping, and retrieval-augmented reasoning at scale. Founded by Biswajit Das, a Data Infra veteran and former Chief Architect at Visa, and Sofus Macskassy, who built one of the largest knowledge graphs in production at LinkedIn, the team brings decades of experience running data infrastructure and ML research. Backed by top VCs, zaimler partners with Fortune 500 companies across insurance, travel, and technology to deploy their semantic platform into some of the world's most complex and high-volume data ecosystems.