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finstat/about
About FinStat

Same team. New accounting engine.

Who built FinStat and why MCP changed everything.

The Story
Chapter 01 / The Team

We've been bringing AI to accounting since 2024.

We started with a narrow, stubborn problem: converting bank statements and financial PDFs into clean accounting data should be a one-click job, not a one-hour job. We brought that to life with BadBank.ai.

That was always step one. Along the way we processed statements in 36+ currencies — millions of dollars of client labor saved — with conversions into QuickBooks, Xero, and Sage. FinStat is where we were headed all along: the same team, continuing the mission to bring AI to accounting. FinStat is not a new team borrowing an old proof point.

Chapter 02 / Why MCP

Your AI can finally call a real accounting system.

AI accounting is not an accounting problem — it is an AI engineering, architecture, and mathematics problem. FinStat's accounting core is built on mathematics that makes balanced entries, closed periods, and source-tied numbers properties of the system rather than hopes. Text completion alone can't do that. Model Context Protocol changed the shape of the product: a general-purpose assistant can now call into a real accounting engine instead of pretending.

The same mathematics redefines the chart of accounts itself. In FinStat a COA is a model, and your books are a projection of the transaction data onto it — so one workspace can carry several COAs simultaneously. A management view, an investor view, a tax view, sister companies, a household and a small business sharing one bank account: each is its own clean, reconciled set of books, projected from the same underlying transactions.

The user stays in Claude Code, Codex, Cursor, Grok Build, or Claude Desktop with Cowork. FinStat does the accounting work behind the tool call.

Chapter 03 / The Proof

Real industry folders, not generic claims.

The industry pages show it: restaurants with Toast and DoorDash payouts, salons with Venmo and Square, churches with designated gifts, contractors with draws and 1099s, and bookkeepers with multi-client retainers.

Chapter 04 / The System

The full AI-native accounting system.

FinStat takes you from the messy folder to review-ready books — parsing, chart of accounts, journals, reconciliation, reports, and exports — all as MCP tools your AI calls, with every number tied back to its source. Patents pending.

FinStat MCP

Everything in one connector.

Dozens of MCP tools inside your own AI: chart of accounts, journals, reconciliation, reports, and exports — from intake to review-ready books.

Built close to the workflow. Not far from the books.

Stipple portrait of Les Dye

Les Dye

Founder

Builds the FinStat engine — the AI harnesses, parsing, the computational framework, the mathematical foundations of the accounting core, and the MCP surface. Stanford engineering graduate; decades of high-performance computing, machine learning, and computational fluid dynamics; founder across reservoir simulation, high-frequency trading, and portfolio analytics.

Stipple illustration of Danamichele Brennen Dye speaking at a podium

Danamichele Brennen Dye

Founder

Leads FinStat's operations, user experience, and business AI systems — go-to-market, pricing, and the customer workflows that shape the product. Carnegie Mellon and Wharton graduate; veteran fintech executive — VP/CTO at Jackson Hewitt Tax Service, among others.

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