Reducto GTM brain

Reducto provides APIs and a document platform for AI teams to parse, extract and automate complex enterprise document workflows.

category

Agentic document processing

market profile

  • text: AI applications need reliable ingestion of complex unstructured documents, including tables, scans and mixed layouts, before downstream automation can work.
  • text: Regulated and large enterprises evaluate document tools on accuracy, security, deployment flexibility, throughput and cost per page.

personas

  • title: AI engineering lead or founding engineer
    pains:
    • Naive parsing loses table structure, layout and citations, weakening downstream retrieval and extraction.
    • Maintaining custom pipelines for many document formats pulls engineers away from core product work.
  • title: Enterprise automation or operations leader
    pains:
    • Manual document intake and field entry slow finance, insurance and healthcare workflows.
    • Long-tail formats and exceptions make automation unreliable at production volume.
  • title: Security or platform engineering lead
    pains:
    • Sensitive customer documents require data retention controls, deployment options and contractual safeguards.
    • A vendor must meet throughput and reliability requirements before production rollout.

icp

  • text: AI-native software companies building document-intensive products for legal, finance, insurance or healthcare with engineering teams able to integrate APIs.
  • text: Midmarket and large enterprises processing high volumes of complex or sensitive files and requiring custom security, deployment or service terms.

message pillars

  • text: Convert varied documents into usable data for downstream systems.
  • text: Preserve evidence and layout for trustworthy workflows.
  • text: Use flexible APIs across document operations.

objections

  • objection: Can a cheaper OCR or foundation model handle our documents?
    response: Benchmark representative tables, scans and edge cases on task accuracy, latency and total cost rather than headline page price alone.
  • objection: Can confidential documents be processed under our security requirements?
    response: Assess zero retention, BAA and enterprise deployment options against your own security review and tier requirements.
  • objection: Migrating an existing pipeline is risky and costly.
    response: Test a sample in parallel and assess the published migration credits and volume pricing before committing.

competitors

  • name: LlamaParse
    why: Document parsing and extraction for AI and retrieval pipelines.
  • name: Unstructured
    why: Transforms varied document formats into data for AI pipelines.
  • name: Amazon Textract
    why: Cloud API for OCR and document extraction.
  • name: Extend
    why: Document processing and extraction platform for workflow automation.

keywords

  • document parsing API
  • PDF extraction API
  • AI document processing
  • RAG document ingestion
  • table extraction PDF
  • document OCR with citations
  • enterprise document intelligence

voice

  • technical and product led
  • confident about accuracy
  • enterprise and developer focused

signals

  • text: An AI product team is shipping retrieval or agent workflows and struggling with complex tables, scans or citations in production.
  • text: A regulated organization is scaling document processing and evaluating private deployment or zero data retention.

stack

  • Python
  • Node.js
  • OCR
  • vision language models

hiring

  • Backend/AI Engineer
  • Forward Deployed Engineer
  • Machine Learning Engineer
  • Growth Marketing Manager

pricing

model: usage
starting price: $150 free usage, then r-1 mini parsing $1 per 1,000 pages; other endpoints priced separately

motion

hybrid

channels

  • developer documentation
  • SEO
  • content marketing
  • customer case studies
  • events
  • outbound

confidence

high

Founders

  • name: Raunak Chowdhuri
    title: Founder/CEO
    role: CEO
    bio: Co-founder/CTO at Reducto. Before Reducto I studied CS at MIT, founded/scaled a comp. chem consulting company to 200k ARR, published computer vision papers with 100+ citations before finishing high school, and spent a little too much time shit posting on Twitter.
  • name: Adit Abraham
    title: Founder/COO
    role: COO
    bio: Co-founder/CEO at Reducto. Before Reducto I studied CS at MIT, made Ads/Search things as a PM for Google, did ML research at MIT's Media Lab, and spent an unreasonable amount of time playing Pokemon Showdown.

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