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Decisional AI

AI Agent for private markets that accelerates deep financial work

Decisional is building an AI Financial Analyst for Private Market Investors that pulls information from public and private data sources. Financial Services firms like LTV Capital use our AI Agent to gain superhuman abilities like gleaning insights from thousands of data rooms or documents & magically modelling spreadsheets in seconds
Decisional AI
Founded:2024
Team Size:3
Location:San Francisco
Group Partner:Aaron Epstein

Active Founders

Dhruv Tandon, Co-Founder, CEO

CEO & Co-founder @ Decisional AI. LBS and BITS Pilani grad. Building an AI Agent that I would have loved to use as an Financial Analyst. Previously, Product at Razorpay (W15), Drip Capital (S15) and an Analyst at Moonfire Ventures & Concentric Capital.
Dhruv Tandon
Dhruv Tandon
Decisional AI

Sai Neeraj Kanuri, Founder

Co-founder & Head of Engineering at Decisional AI. NYU grad. Laying the groundwork for an AI Agent that can reliably work for Finance. Previously, engineering at Razorpay (YC W15) and Arthur AI, an ML platform that helps financial services firms like J.P Morgan reduce hallucinations.
Sai Neeraj Kanuri
Sai Neeraj Kanuri
Decisional AI

Adit Sanghvi, Founder

CTO & Co-founder at Decisional AI, building the brain of an AI Agent for Finance. CMU Grad. Previously, worked in deep learning and machine learning at Uber and generated incremental $100m+ in revenue. Hold patents and papers on AI since 2017, before it was cool.
Adit Sanghvi
Adit Sanghvi
Decisional AI

Company Launches

Hey everyone, we’re Dhruv, Adit, and Neeraj — co-founders of Decisional.

tl;dr

Decisional built an AI Financial Analyst that reads and understands data from thousands of public and private sources. Imagine a new world - an AI Analyst, at your beck and call, that has understood every email, read every data room, and can browse the web.

Decisional breaks down data silos and performs all of your grunt work, ensuring you never have to manually copy a table from a pdf to Excel ever again.

The Problem: Grunt Work & Data Silos

Analysts want to create alpha through first principles thinking - but they’re blocked by mundane tasks like extracting tables, plotting market maps, and sifting through transcripts and board packs. Their information is scattered in data silos internally (Airtable, Dropbox, Email) and externally (web pages, SEC filings, and private data feeds like S&P).

Decisional ingests information across your organisation and configured external sources to create a knowledge graph that powers a 24x7, intelligent AI Agent empowered with your organization’s information. It helps you unearth key facts and patterns hidden in plain sight.

The Solution: Writing > Chatting for Deep Work

Decisional’s Magic Tables will organize key metrics, competition, and public comps, enriched with external data like funding amounts, stage, geography, and sector.


Analysts generate “AI memos” and glean deep insights from your documents. Decisional eliminates the 24-48 hour wait while your offshore team performs simple data extraction grunt work.

Deep, living documents are then drafted with the help of an AI Agent that automatically pulls and organizes data from underlying sources, complete with citations.

The Finance + AI + Distributed Systems Squad

Dhruv, Adit, and Neeraj studied at London Business School, Carnegie Mellon University, and NYU, respectively. Adit and Dhruv have known each other for 20 years and are childhood friends. Dhruv and Neeraj shared a PM - Lead Engineer bromance from their time working at Razorpay (W15).

Dhruv - Experienced in investing, lending, and banking through working at Moonfire Ventures, Concentric Capital, Drip Capital (S15), and ICICI Bank. Rage quit a bank to join the startup world.

Adit - Developed machine learning models at AWS and Uber, and built models for billions of transactions that generated over $200+ million in additional revenue. Published research and patents in machine learning since 2017.

Neeraj - Developed end-to-end financial infrastructure that handles over $150B in transaction volume at Razorpay (W15). Won a contest in Yann LeCun’s Deep Learning course and then built distributed systems at Arthur AI for financial services firms like JP Morgan.

The ASK

  • TRY : Public AI Memo
    Loaded with pitch decks and investment memos from companies like Coinbase, Dropbox, Airbnb, and more.

  • INTRODUCE: Firms in PE, Real Estate Lending, Private Credit, Family Offices or Fund of Funds

    We’ll save them hours in due diligence and portfolio management work sifting through data rooms (huge sets of documents) and external data sources (SEC filings, public websites).

Watch our full product video here:

https://youtu.be/Wu_CIqBwGW8