Javva — The AI paper workflow for investment teams
Javva turns deal materials — decks, IMs, DDQ responses and spreadsheets — into decision-ready investment papers. Shaped by your firm's structure, prior work, source materials, and review process. Fast, grounded, and built for the controls investment teams require.
Not a chat box. A structured workflow for organising source materials, applying your firm's structure, checking context and mandate fit, surfacing open items, grounding outputs in sources, and supporting review, sign-off, and audit.
Confidential by architecture. Tenant-isolated and audit-logged from day one — built for confidential deal data.
Built for and with investment teams at private equity, private credit, and real estate firms — designed around how they actually write deals up.
We respond to every waitlist request personally within two business days, with a short call to understand your workflow before we open access.
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 — Decision-ready first drafts in your firm's voice, section by section, at the length each section calls for.
- Open Items Detection — Gaps, contradictions and outstanding diligence named and ranked before papers circulate.
- Mandate Context — Your investment criteria and house guidance sit in the drafting context for every section.
- Document Extraction — Substance pulled from PDFs, Word files and spreadsheets, cited to document and page.
- Deterministic Recomputation — Ratios are recomputed in code from their source operands, not taken on the model's word.
- Verification & Provenance — A verdict on the paper and on every material claim, with each figure labelled source-backed, derived, assumed or not stated at all.
- Underwriting Box — Your leverage caps, coverage floors and return hurdles checked against the deal's computed metrics and flagged to reviewers.
- Internal Review & Sign-Off — Review stages shaped to your firm — none, one, or several — with a clean audit trail.
- Precedent-Derived Voice — Tone, terminology and emphasis calibrated from papers your firm has written. Structure comes from your own workbook.
Javva uses leading LLMs under the hood. The differentiation is the investment-specific workflow, controls, context layer, and team operating system around them.
Speed, rigour, control, and security
Source materials in, structured first draft out in minutes. Every section grounded in the documents you supplied. Sign-off built around your firm's path, not ours. Tenant-level isolation, role-based permissions, and end-to-end audit logging built into the foundation — not bolted on for procurement.
Security & Data Protection — tenant isolation, no training on customer data, EU hosting, MFA, GDPR-ready processing terms, retention, and deletion.
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 deal materials to an IC paper, and where AI can accelerate drafting without losing rigour.
Papers first
Investment papers are the starting point. Javva is being built as the trusted AI layer for how investment teams analyse, decide, and operate.
Get started
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