Transaction Advisor
M&A structuring, contract review and QoE work.
Finance intelligence for deal work
Structured AI workflows for M&A, valuation, restructuring, fundraising and CFO engagements. Pick an advisor role, work the deliverable step by step, and receive a professional, sourced output. New accounts start with metered credits.
No prompt engineering. Each role ships with structured deliverables, so the work product follows a defined path instead of a freeform chat.
Choose the practitioner the engagement needs — Transaction, Valuation, Restructuring, Fundraising, Board & Governance or Fractional CFO.
Each role carries its own system context and a curated set of deliverables.
Upload source documents, answer targeted questions, and move through each step. The model builds on the prior step rather than starting cold.
Documents are parsed in memory for context and never stored.
Receive a structured advisory output — issue lists, bridges, covenant reads, board packs — formatted for the engagement and marked for source verification.
Export as markdown and carry it into your own working papers.
Every role is purpose-built for its discipline, with deliverables that match how the work is really done.
M&A structuring, contract review and QoE work.
Comparable multiples, DCF and sensitivity ranges.
Covenant models, cash monitoring and asset recovery.
Investor targeting, pitch prep and financial models.
Board packs, scenario reads and compliance review.
Live financials, forecasting and strategic planning.
The model layer is built for confidential finance work — keys stay server-side, documents stay ephemeral, and usage is metered per generation.
Provider keys live server-side and never reach the browser. Every generation is metered against your credit balance, so usage stays predictable and auditable.
Uploaded financials are parsed in memory for context, then dropped. Nothing is written to disk or database.
Anthropic, OpenAI and more sit behind one interface. Route by model alias without changing how you work.
Deliverable steps and prompts are versioned. Publishing a change archives the prior version for a clean audit trail.
Security and privacy
Uploaded financials are parsed in memory for context, then dropped — not written to disk or database. Provider keys stay server-side, and your data is never used to train models.
Start today
Create an account, pick a role, and work your first deliverable with starter credits — no payment required to begin.