Javva — AI for Investment Teams
From inbound deal materials to a decision-ready paper. Javva turns decks, IMs, appraisals, models, and DDQ responses into review-ready investment papers — written in your firm's voice, shaped by your prior work, with open questions surfaced and internal sign-off built in.
Built for private markets
Designed for the investment, underwriting, and committee paper workflows used by private equity, private credit, real estate, real estate development, infrastructure, and real assets teams.
Capabilities
- Paper Generation — First drafts in your firm's voice, modelled on your prior work.
- Open Items Detection — Gaps and outstanding diligence flagged early.
- Mandate Context — Your investment criteria sit behind every draft.
- Document Extraction — Pulls substance out of decks, IMs, models, and DDQ responses.
- Internal Review & Sign-Off — Analyst and senior approvals with a clean audit trail.
- Precedent-Derived Output — Structure and tone learned from papers your firm has written.
Confidential by architecture
Tenant-level isolation, role-based permissions, and end-to-end audit logging are built into the foundation — not bolted on for procurement.
Learn how investment paper drafting works
Read our guide on what goes into a private equity or private credit investment paper, how teams move from inbound materials to an IC paper, and where AI can accelerate drafting without losing rigour.
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