Reducto, Inc.
Reducto is building the data layer for LLMs by transforming unstructured enterprise documents into structured, machine-ready data using advanced AI and Agentic OCR.
At a Glance
- AI Startups
- Financial Services
- Healthcare
- Legal
- +1 more
AI Tools by Reducto, Inc.
(1)Reducto
Document to LLM Data Platform
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Products & Services
An Agentic OCR framework that reviews and corrects document outputs in real-time, providing high accuracy for complex layouts.
An agent-based extraction tool designed for highly accurate structured document data retrieval.
A UI platform for users to manage document parsing, extraction, and schema-level data processing.
Market Position
Reducto positions itself as a more accurate, 'agentic' alternative to traditional OCR (like AWS Textract or Tesseract), focusing specifically on the high-fidelity needs of Large Language Models and complex enterprise document layouts.
Leadership
Founders
Adit Abraham
Co-founder and CEO. MIT graduate. Previously a Product Manager at Google (APM) and built ML products.
Raunak Chowdhuri
Co-founder and CTO. MIT graduate. Previously a Software Engineer at Nvidia, specializing in AI and machine learning.
Executive Team
Adit Abraham
Co-founder & CEO
MIT grad, former Google APM.
Raunak Chowdhuri
Co-founder & CTO
MIT grad, former Nvidia Engineer.
Board of Directors
Founding Story
Adit Abraham and Raunak Chowdhuri met while students at MIT. Reducto started as a weekend hack to solve the frustrations of extracting accurate data from complex PDFs for use with Large Language Models (LLMs). They realized existing OCR and parsing solutions weren't designed for the semantic needs of AI, leading them to create a layout-aware parsing engine.
Business Model
Revenue Model
Usage-based API subscription model with tiered pricing.
Pricing Tiers
Includes 15,000 pages; $0.015 per page thereafter.
Trial available; includes additional enterprise features.
Custom SLAs, in-house deployment options, and dedicated support.
Target Markets
- AI Startups
- Financial Services
- Healthcare
- Legal
- Fortune 10 Enterprises
- Unstructured data ingestion for RAG (Retrieval-Augmented Generation)
- Financial document analysis (quarterly reports, earnings)
- Medical record processing
- Legal document extraction
- Automating enterprise workflows involving complex paperwork
- Scale AI
- Vanta
- Harvey
- Medallion