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Fintool

Winter 2023Acquired

Financial copilot for institutional investors

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Fintool logo

Fintool

Winter 2023Acquired

Financial copilot for institutional investors

Save
Company details

Fintool.com is a financial copilot for institutional investors. It’s ChatGPT on top of financial documents. Fintool is engineered to discover financial insights that are beyond the reach of human analysis or search software.

Location
San Francisco, CA, USA
Founded
2023
Category
Artificial Intelligence
YC Directory Pagewww.fintool.com
Founders
  • NB
    Nicolas Bustamante
    Founder
    X / TwitterLinkedIn
  • EG
    Edouard Godfrey
    Founder
    LinkedIn

Fintool.com is a financial copilot for institutional investors. It’s ChatGPT on top of financial documents. Fintool is engineered to discover financial insights that are beyond the reach of human analysis or search software.

Location
San Francisco, CA, USA
Founded
2023
Category
Artificial Intelligence
YC Directory Pagewww.fintool.com
Founders
  • NB
    Nicolas Bustamante
    Founder
    X / TwitterLinkedIn
  • EG
    Edouard Godfrey
    Founder
    LinkedIn

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On this page
  • Overview
  • Founding Story
  • Timeline
  • What They Built
  • Market Position
  • Target Customers
  • Market Size
  • Competition
  • Business Model
  • Traction
  • Post-Mortem
  • Key Lessons
  • Sources

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Exec Briefing

Actionable insights

If you only have a few minutes to spare, here’s what investors, operators, and founders should know about Fintool (W23).

  1. This was an acquisition, not a failure. Microsoft bought Fintool in 2026 after its product expanded from filing chat into agents that generated Excel models, PowerPoint decks, and Word memos.
  2. Workflow integration explains the fit. Fintool’s customers already worked in Microsoft products, while Microsoft owned the distribution surfaces where financial research became decisions.
  3. Trust was the technical moat. Fintool normalized heterogeneous financial sources, isolated agent execution, and reported roughly 2,000 evaluations for periods, numbers, and grounding.
  4. Rebuild a narrower job. Cairnline targets reviewable quarterly earnings updates for small funds, with source rights, metric definitions, human approval, and Excel-ready evidence built in.

Overview

Fintool was not a failed startup. Microsoft acquired the company in 2026 after Fintool had built an AI research product used by professional investors and expanded from document chat into agents that could produce financial models, presentations, and memos. Founder Nicolas Bustamante described the destination as Microsoft’s Office Product Group, where Fintool’s expertise and intellectual property could reach customers already working in Excel, PowerPoint, Word, and Microsoft 365.[1]

The acquisition is best understood as validation of workflow integration. Fintool’s product evolved beyond answering questions about filings. By its V5 release, it could run research in the background and create a DCF model in Excel, an earnings deck in PowerPoint, or a research memo in Word. Microsoft owned the distribution surfaces where those artifacts were already consumed. Public sources do not disclose the transaction price, revenue, retention, or customer migration terms, so the evidence supports strategic fit, not a claim about financial outcome.

Founding Story

Nicolas Bustamante and Edouard Godfrey founded Fintool and joined Y Combinator’s Winter 2023 batch. YC described the initial product as a “financial copilot for institutional investors,” built to find insights in financial documents that conventional search could miss.[2] A 2023 launch post presented a private-beta product for querying SEC filings: users could summarize a 10-K, compare earnings calls, examine a topic across five years, screen companies, and review analysts’ questions.[3]

The founders brought complementary experience. Bustamante had previously founded and led Doctrine. Godfrey served as Fintool’s CTO; a secondary account says he previously spent roughly nine years at Apple, but this detail was not independently confirmed in the reviewed primary sources.[4]

The reviewed sources did not yield two long-form founder interviews with attributable verbatim comments about Fintool’s origin. Rather than manufacture an origin story, this report treats the documented 2023 private-beta launch as the earliest reliable statement of the product thesis and records the missing founder accounts as an evidence gap.

Timeline

  • 2023: Fintool participates in YC W23 and launches a private beta centered on conversational research over SEC filings.
  • 2024: Menlo’s portfolio chronology lists Fintool as founded in 2024, conflicting with YC’s 2023 founding date. This may reflect a financing or portfolio milestone rather than incorporation and remains unresolved.[5]
  • 2025: Menlo lists a seed milestone. A reliable primary announcement disclosing the amount was not found.
  • 2025: A Groq case study describes Fintool’s multi-stage retrieval and verification system and reports faster, cheaper inference after a model-infrastructure migration. These are vendor and customer claims, not independently audited benchmarks.[6]
  • January 2026: Bustamante publishes a detailed engineering retrospective describing Fintool’s shift from vector-based RAG toward agentic search, isolated execution, domain skills, and extensive financial evaluations.[7]
  • March 2026: Bustamante’s biography says Microsoft acquired Fintool in March. This may be the closing or internal transition date.[8]
  • April 18, 2026: Bustamante publicly announces Microsoft’s acquisition. Terms are undisclosed in the reviewed evidence.

What They Built

Fintool began as natural-language access to public-company information and grew into a financial research agent. Its source universe included SEC filings, earnings-call transcripts, press releases, PDFs, market data, news, alternative data, broker research, and fund filings. The system normalized heterogeneous inputs into Markdown, tables or CSV, and structured metadata before agents searched and analyzed them.[7]

Its architecture changed with model capability. According to Bustamante, the team retired embeddings and elaborate retrieval pipelines in favor of agents using filesystem and search tools. Queries could be classified by company, fiscal period, data type, and expanded terminology before relevant documents were retrieved. A separate network of agents verified generated claims. Each user received an isolated sandbox with scoped access to source data, while Temporal supported long-running jobs and server-sent events streamed progress.[6]

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