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AI Teammates for Data Tasks
TableFlow builds AI teammates for data tasks, helping operations and data teams automate the messy, manual tasks buried in PDFs, spreadsheets, images, and emails.
TableFlow is an AI-powered document extraction and automation platform that converts messy documents into structured data. It handles various file formats with a single template, offering end-to-end workflow automation and validation to reduce manual data work.
TableFlow extracts data from any file format (PDFs, Excel, CSV, images) using one template for all suppliers, performs multi-step validation and AI-driven checks, and integrates validated data into ERP or applications via API/Webhook. It supports item matching, reconciliation, and automated routing to the correct approval workflows, with human-in-the-loop reviews for edge cases. The platform emphasizes end-to-end automation beyond extraction, including reconciliation against POs, SKU matching, and price updates across systems such as ERP, NetSuite, SAP, and Salesforce.
Who itβs for: Businesses with heavy manual data workflows involving suppliers and documents (packing lists, invoices, price sheets, POs) across industries such as wholesale distribution, retail, manufacturing, and financial services.
SOC 2 Type II certification; claimed rapid go-live timelines; customer testimonials highlighting reduced manual work and faster onboarding; mentions of scalable deployment and production use
Co-founder and CEO at TableFlow. Early engineer at Bolt (transitioned to product). First product hire at Heymarket.
Co-founder and CTO at TableFlow. Early engineer on the commerce team at Facebook. First full-stack engineering hire at Heymarket.
Extract, transform, and validate data from any file: CSV, PDF, and more
TableFlow provides AI-powered automation to extract, transform, and validate data from unstructured sources (CSV, PDFs, images, and web pages) and export cleaned data to a defined destination schema. The launch highlights a five-step workflow: define schema, import file via API, receive webhook with results and errors, optionally review, and import into the target system.
From the original launch (Jul 2023) β may be outdated.
Formerly βInqueryβ Β· why startups rename β

AI-powered settlement for financial securities

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