Technology
Not cybersecurity. Not mobile optimisation. Not backend development. RAG & hybrid retrieval, training local models & SLMs, agentic systems & MCPs, and AI applied research — researched, benchmarked, and deployed with paying clients.
What we build
Retrieval that actually reasons
We build hybrid retrieval infrastructure for enterprises — semantic + keyword + reranking — with provenance and contradiction detection. Our architecture outperforms industry benchmarks, with an open-source repository as proof.
Proof
Beats the McKinsey benchmark on retrieval accuracy
Local models & SLMs
We train and fine-tune small language models on an organisation’s own governed knowledge — instead of generic data. Sovereign AI: efficient, private, and economically defensible.
Proof
Small models on governed knowledge, not generic data
Verified agents & connectors
We build agentic systems, command-line tools and MCP servers that let AI take governed, audited action across your stack — verifiable, not just capable.
Proof
Verified agents, Catalyst, Control8
AI applied to hard problems
We apply AI to solve complex problems for companies and research organisations — from regulatory compliance to scientific discovery — with published, benchmarked work behind it.
Proof
Published papers and real deployments
Standard stack
Every KVA product ships on a battle-tested stack designed for performance, security, and developer experience.
Framework
Language
Database
ORM
Styling
Testing
Deployment
Containerization
Built around European data-protection principles from the start
Designed for the EU AI Act, ahead of the August 2026 applicability deadline
Security controls aligned with SOC 2 Type II requirements (not yet certified)
Core tools published on GitHub. Transparency builds trust
