From Archive to Asset, in Four Steps
Qofi prepares an institution's archived data for monetization: audited, anonymized, and structured into licensable assets that open new revenue.
Map the firm's models, memos, and deal artifacts to find the highest-value, lowest-risk data to activate.
Strip PPI, scrub identifiers, and clear rights, all inside the perimeter, under NDA, with a full audit trail.
Transform raw artifacts into structured, deal-ready datasets through the context graph, versioned and governed.
License the prepared data to frontier labs on the institution's terms, a new, recurring revenue line.
A Hidden Asset
Decades of models, memos, and deal artifacts already sit inside the institution, the highest-signal finance data in the world, unused.
Maximum Monetization
The asset processing engine extracts the most value from existing data, audited, structured, and packaged into the highest-value licensable assets.
Pure Upside
The institution earns from data it already owns, funding internal AI and opening a new, recurring revenue line, on its own terms.
Built to the Standards of Frontier AI Labs and Enterprise Security Teams
Proprietary anonymization at every layer.
The institution defines which systems and data types are in scope before anything moves.
Authentication credentials are scoped to each session and isolated from the rest of the infrastructure.
Raw content is extracted automatically, encrypted in transit, and logged with a complete audit trail.
The pipeline detects and neutralizes 60+ types of sensitive identifiers while preserving business context and structure.