Trust beats features
The bottleneck in practice is neither search nor text generation, both are commodities today. The bottleneck is trust. A system that confidently cites the wrong source is useless in daily working practice. So this AI archive is not built around the fastest answer but the verifiable one: every statement is bound to concrete source sentences, every answer comes with a citation, and when the archive has nothing, the system honestly answers “not found” instead of guessing.
This stance is built into the architecture. Hybrid search and reranking surface the best passages, and NLI grounding with abstention binds answers to evidence. An NLI-verified knowledge graph maps people, organisations and their relations; a fact-check module exposes contradictions in the corpus instead of smoothing them over. The system is engineered for high citation coverage at zero invalid citations. From the first keyword through a sourced dossier to the finished manuscript, the human stays responsible, the AI supplies the evidence.
And all of it stays sovereign: data remains in-house, the stack runs on-premise, without US cloud and without US models. We build the same stack for archives, law firms, public authorities and research, see research & archive systems.