Your research is the asset. Your AI stack should treat it that way.
Northwood deploys and operates open-source inference for investment teams: the best-fit model for each task, lower cost, and a complete record of every call, all inside your tenancy.
Your compliance team is right.
Investment teams run on proprietary knowledge: research notes, diligence materials, expert calls, investment memos, portfolio context, market views, and internal judgment. Once that context leaves your control, there is no real undo button.
Northwood deploys and operates an open-source inference layer around that knowledge: the best-fit model for each task, the cost evidence to prove it, and a record of every call, on infrastructure you control.
Where investment teams put open-source inference to work.
Research synthesis
Source-grounded answers across prior memos, research notes, and approved external data. Every response cites the controlling document. Positions and theses never leave your tenancy.
Diligence document workflows
Cross-reference data-room documents against your diligence checklist. Flag gaps and inconsistencies. Route findings to the deal team with context attached. Documents processed entirely inside your environment.
Data room analysis
AI-assisted review of data room contents with permissions scoped to deal team members. Extract key terms, flag missing items, and build structured summaries without documents leaving your environment.
Memo and LP reporting support
Draft investment memos and LP letters from approved internal sources. Human approval before anything is sent. Every draft is logged.
Common workflows
Your knowledge is the edge. Keep it there.
Providers, models, routing policy, and the open-source control layer, deployed inside your environment, documented for your team, and accountable to your compliance obligations.