AI for PropTech
Decisional logo

Decisional

Decisional is an AI-native workspace for private-markets finance teams that turns proprietary deal documents into cited investment memos, valuations, and models.

Best for: Private-markets and real estate finance teams accelerating due diligence, underwriting, and portfolio monitoring with cited, auditable AI analysis of their own deal documents

Last reviewed 6/2/26

Tags: underwritingdue-diligenceprivate-marketsragagentic-aidocument-analysis
Integrations
Excel, Salesforce, Gmail, Slack, Notion, QuickBooks, HubSpot, Crunchbase
Property types
Commercial, Residential
Geography served
United States and United Kingdom (offices in San Francisco and London)
AI

How Decisional uses AI[1][3][6]

Decisional runs vector search over a firm's proprietary deal documents and pairs it with agentic writing, modeling, and charting. It produces investment memos, valuations, and cap tables, with every figure citing the exact source page. A spreadsheet-style canvas lets analysts run Python valuations and Monte Carlo simulations in the same workspace.

  • Knowledge engines ingest deal docs across PDF, Excel, Word, and PowerPoint and answer queries with inline citations back to the original source page
  • Agentic workspace drafts investment memos, board decks, and cap tables for due diligence and portfolio monitoring
  • Spreadsheet-like canvas runs Python-powered valuations and Monte Carlo simulations without leaving the app
  • Built for private markets including real estate deal teams underwriting and monitoring assets

AI type: Agentic RAG workspace (retrieval over proprietary documents plus LLM agents for analysis and modeling)

API: yes MCP: unknown

Key numbers[2][4]

  • Y Combinator Summer 2024 batch company
  • backed by Moonfire and Character VC
  • published wealth-management customer case study (Evooq)

Credibility[2][4][5]

Founders
Dhruv Tandon (CEO; previously Razorpay, Drip Capital, and analyst at Moonfire Ventures; London Business School and BITS Pilani), Adit Sanghvi (CTO; deep learning and ML at Uber; Carnegie Mellon), and Sai Neeraj Kanuri (Head of Engineering; previously Razorpay and Arthur AI; NYU)
Customers
Evooq (wealth management) published as a customer case study
Investors
Y Combinator (S24), Moonfire, and Character VC

Founded

2024

Headquarters

San Francisco, CA, USA

Stage

Seed

Employees

1-10

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