Private AI Infrastructure
Local AI environments for valuable private knowledge without an internal AI infrastructure team.
Private AI infrastructure, document intelligence, OSINT enrichment, knowledge graphs, and inference optimization for knowledge-intensive teams.
Six core engagements, from standing up local infrastructure to tuning inference on the hardware you already own — each scoped to a team that can't send its documents to someone else's cloud.
Local AI environments for valuable private knowledge without an internal AI infrastructure team.
Install, configure, and tune Batch Document Search for private document research workflows.
Entity extraction, relationship mapping, entity cards, and Obsidian-compatible graph exploration.
Authorized public-source enrichment for selected entities, grouped into triaged evidence trails for professional review.
Plan agentic builds, supervise execution, and intervene when an agent stalls or starts down the wrong path.
GPU-aware deployment, quantization strategy, batching, routing, caching, and model serving.