Projects
Not demos that never got past the prototype: infrastructure that runs uninterrupted in production, at high availability.
A selection from the AI and software adoption projects we have delivered across different sectors:
werea NexusRAG
A knowledge management architecture that makes billions of lines of internal documentation, regulation and data instantly reachable, with near-zero hallucination risk.
Up to 95% less time spent finding information, and 99.4% context precision on document queries.
werea VaultAI
AI infrastructure that runs entirely on local servers, sealed off from the outside world, for organisations where moving sensitive data out is legally or strategically impossible.
Millisecond response times at the highest security standard, with zero risk of data leaving the organisation.
werea AgentOps
A workflow platform that makes complex, multi-step processes autonomous through specialist AI agents that talk to one another.
Specification, tender and operational analysis that used to take weeks now takes minutes.
werea DocuStream
A document processing platform that reads irregular, handwritten, scanned or table-heavy corporate paperwork with high precision and turns it into structured data.
85% less manual data entry, and 98% faster handling per document.
werea SentryLLM and TokenGuard
An intelligent proxy and monitoring layer that keeps the security, answer quality and API/compute cost of live AI applications under control.
Up to 70% saved on total LLM and GPU infrastructure cost, zero PII leaks in production, and 99.99% system reliability.
Promises Are Claims; Working Systems Are Evidence
Read the detail behind the projects we delivered, and what the teams we worked with had to say.
Let's Build an Architecture Like This With Your Team
Let's assess in a live environment how AI will create value in your own business processes and infrastructure.
In a 45-minute remote session, with no preparation needed on your side, test a working system on screen with your own data and scenario — or write to our team with the technical details you want to ask about.