Deploy a secure, air-gapped knowledge engine. Ingest legacy data (PDF, SQL, Archives) without exposing Intellectual Property to public models.
Request ConsultationCorporate knowledge is fragmented across decades of unstructured files—PDFs, emails, and contracts. Manual retrieval is inefficient, costing high-value employee hours.
Public AI tools (ChatGPT, Claude) offer a solution but introduce unacceptable data exfiltration risks. Regulated sectors cannot trade efficiency for security.
We deploy a self-contained Intelligence Unit on your infrastructure (On-Premise or Private Cloud). It indexes your proprietary data into a secure Vector Database.
Result: Your team queries complex internal data with forensic accuracy. No data leaves your perimeter. Zero third-party training on your IP.
Automated pipelines to ingest and structure legacy formats (OCR for scanned PDFs, SQL dumps, SharePoint archives). Context-aware chunking preserves document hierarchy.
Our retrieval engine utilizes Rust-native vector search for speed and precision. Every AI response includes direct citations to the source document and page number.
Designed for zero-trust environments. The system can be deployed without external internet access, running entirely on local compute resources.
We deliver a fully operational Proof of Concept in 14 days. Fixed cost. Clear deliverables.