TableFlow blog · Apr 2026
Thought-leadership piece positioning TableFlow around distributor back-office automation, with claims about manual document-processing costs and deployment timelines.
Company research
Public company, workplace, funding, and market signals
Updated Jul 30, 2026
Overview
TableFlow is a San Francisco-based YC Winter 2023 startup building AI-powered document processing and workflow automation for messy business documents. It focuses on extracting, validating, reconciling, and routing data from PDFs, spreadsheets, images, and faxes so ops teams can automate manual back-office work.
Primary product
AI-powered document extraction and end-to-end workflow automation platform
Founded
2022
Headquarters
San Francisco, California, United States
Team size
1-10
Industry
Software Development
Sub-industry
AI-powered document processing and workflow automation
Offices
2261 Market Street #5034, San Francisco, CA 94114
San Francisco, California, United States
Business model
B2B SaaS
Usage-based / volume-based pricing
Annual contracts / custom enterprise pricing
Funding
Stage
seed
Total raised
$500K
Latest round
Convertible Note · Jan 2023
Latest amount
$500K
Jan 2023 · Y Combinator
People & investors
Investors
Work & culture
Publicly stated values emphasize automation, shared customer success, and simplicity; the company positions itself as customer-success oriented and focused on removing repetitive manual work.
Compensation
No public employee compensation bands or salary signals were found; public pages focus on customer pricing and product positioning rather than hiring pay ranges.
Product & market
Pricing
Public pages indicate transparent, usage-based or volume-based pricing with annual/custom contracts for mid-market and enterprise workflows.
Differentiators
- —One template handles many vendor formats without per-supplier setup
- —OCR + LLM hybrid processing for messy Excel, PDFs, images, and faxes
- —Multi-step validation with business rules, AI checks, and visual attribution
- —Automation goes beyond extraction into matching, reconciliation, and routing
- —Fast deployment, typically in weeks rather than months
- —Integrates with ERP and automation tools such as NetSuite, SAP, Salesforce, n8n, Make, and Zapier
- —Designed for operations-heavy mid-market teams and document workflows
- —Supports multiple AI providers and selects the best model per file/task
Technology
OCR
LLM / multimodal AI
Google Gemini
OpenAI GPT-5
REST API
Webhooks
React SDK
JavaScript SDK
JSON
CSV
n8n
Make
Zapier
NetSuite
SAP
Salesforce
Slack
Google Sheets
Customers
Homebot
Ghost
True Classic
Competitors
Conexiom
Esker
Rossum
template-based OCR/extraction tools
Scale & contact
Estimated revenue
approx. $800K ARR (public estimate)
Estimated monthly visits
13.9K
Traffic estimate as of Jun 2026
Latest news
TableFlow blog · Oct 2025
Announcement of built-in QA/verification features to catch extraction errors and trigger self-correcting workflows.
TableFlow blog · Oct 2025
Launch of Flows, TableFlow's end-to-end workflow automation layer for post-extraction actions such as routing, reconciliation, and notifications.
TableFlow blog · Sep 2025
Major product announcement repositioning TableFlow from extraction to AI teammates that extract, verify, and route messy data from documents into business systems.
TableFlow blog · Aug 2025
Integration with OpenAI GPT-5 to improve handwriting recognition, complex layout handling, and cross-document validation.
Jobs and careers at TableFlow
0 jobs at TableFlow
No open positions
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