TableFlow provides adaptive AI teammates that automate complex, manual data processing tasks across various document formats. These agents learn on the fly, reducing operational costs and increasing processing speed significantly compared to manual methods. The platform enables businesses to scale document workflows autonomously without increasing headcount.
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many organizations struggle with the time-consuming and error-prone process of manually extracting data from unstructured documents like PDFs, spreadsheets, and images. Traditional OCR solutions often lack the accuracy and contextual understanding needed to efficiently process complex document layouts. This leads to increased operational costs, slower decision-making, and hinders the ability to scale data-driven initiatives.
Solution
TableFlow provides an AI-powered document processing platform that automates data extraction from various unstructured sources, eliminating manual data entry and streamlining document workflows. By leveraging semantic AI, TableFlow understands document structure, context, and relationships, achieving high accuracy in data extraction compared to traditional OCR. The platform's multi-model AI combines the strengths of different AI providers, adapting to new document formats without requiring training or templates. TableFlow delivers clean, validated data via API, SFTP, or direct integration, enabling businesses to accelerate data entry into their ERP systems and gain real-time insights.
Target Audience
TableFlow targets businesses across industries, including distribution, wholesale, supply chain, logistics, real estate, legal services, accounting, and insurance, that handle large volumes of complex documents and seek to automate data extraction processes.
Features
- Semantic AI engine that understands document layout, context, and relationships for >95% accuracy
- Visual grounding capabilities that combine computer vision with natural language processing
- Automated extraction of data from PDFs, spreadsheets, images, and emails
- Customizable workflows that adapt to evolving operational requirements
- Real-time processing for immediate results with confidence scoring and validation
- Multi-model AI that combines the best of OpenAI, Anthropic, Google, and specialized models
- Zero-shot learning that adapts to new document formats automatically
- Integrations via API, SFTP, or direct integration