Vocare

Vocare’s context engine connects fragmented systems and data into one brain layer. It maps relationships between platforms, records and institutional knowledge, so every retrieval carries the operational context RAG misses. AI agents run through this engine to perform workflows deterministically, where every action is grounded in real operational context. The engine achieves a 25% accuracy increase vs standard RAG and can act on top of retrieving information.

Regulated industries run on fragmented systems, with institutional knowledge scattered across legacy platforms, PDFs and disconnected databases. Teams manually bridge these systems, while RAG retrieves information without understanding how records connect. As operations scale, this creates bottlenecks and massive backlogs, with critical context repeatedly lost or rebuilt from scratch.

Mid-tier regulated operators such as energy/water/gas retailers and telcos.

• Pilot with local government
• Developed context engine at Blackbird Foundry Deep-Tech Program and deployed at Triboa Bay Living as a pilot vocare.cx