zaimler provides an enterprise context layer that supplies AI agents with up-to-date, unified, and governed business data across all cloud and on‑premise sources. By building a holistic ontology and keeping data within the customer’s environment, it ensures agents avoid hallucinations, maintain accuracy, and meet strict compliance requirements for industries such as insurance, banking, and healthcare.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises in regulated industries struggle to provide AI agents with reliable, up-to-date business data because information is fragmented across multiple cloud and on‑premise systems, often leading to hallucinations, stale snapshots, and compliance risks.
Solution
Zaimler delivers an enterprise context layer that unifies all data sources into a common ontology while keeping the data within the customer’s environment. The platform maps relationships across systems, resolves conflicts, and supplies agents with live, governed context at runtime, eliminating hallucinations and reducing answer latency. By enforcing access‑level audits and on‑premise data residency, it ensures that every AI‑driven decision is traceable and compliant with industry regulations. The solution supports use cases such as claims underwriting, portfolio research, compliance monitoring, and operational automation across sectors where deterministic outcomes are mandatory.
Target Audience
Primary customers are large enterprises in regulated sectors—such as insurance, asset management, banking, healthcare, telecommunications, and logistics—that deploy AI agents for underwriting, research, compliance, and operational automation.
Features
- Ontology engine that creates a holistic, unified data model linking cloud and on‑premise sources
- Real‑time context provisioning to AI agents, preventing reliance on stale data snapshots
- Conflict detection across data silos to surface and resolve inconsistent information
- On‑premise deployment with strict data residency, ensuring no data leaves the enterprise environment
- Built‑in audit trail at the access layer for full traceability of AI decisions
- Industry‑specific adapters for insurance, asset management, banking, healthcare, telco, and logistics
- Low‑latency query layer that delivers up‑to‑date information to agents during inference