Holofin provides an AI-driven document processing platform that lets users build visual extraction pipelines for multi-format, multi-page documents such as invoices, medical records, and tax forms. The system combines classification, segmentation, field extraction and plain‑English validators, grounding each data point to its source location for auditability, and is accessed via a credit‑based API with optional human review.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations that need to extract structured data from complex, multi-format documents such as financial statements, invoices, medical records, and tax forms must rely on manual data entry or fragmented OCR tools, leading to high error rates, slow processing times, and costly validation efforts.
Solution
Holofin offers an AI-powered document processing platform that combines computer vision with agentic AI to build custom extraction pipelines. Users can chain classification, segmentation, extraction, and validation steps in a visual workflow builder, allowing flexible handling of mixed-format and multi-page documents. The system provides high‑precision field extraction across a wide range of document types, with rule‑based validators that can be authored in plain English and automatically compiled into Hololang. Extracted data points are grounded to their source locations, giving full traceability and auditability. The platform is delivered via an API with a credit‑based pricing model, supporting both pay‑as‑you‑go and volume‑discount plans, and includes optional human‑in‑the‑loop review and Slack notifications.
Target Audience
Primary customers are financial institutions, accounting firms, insurance companies, and healthcare organizations that process large volumes of structured documents and require automated, auditable data extraction.
Features
- Visual workflow builder to orchestrate classification, segmentation, extraction, and validation in any order
- Smart classification models for document types such as bank statements, IDs, medical records, and tax forms
- Intelligent segmentation that splits multi‑page, mixed‑format documents and handles fragmented tables and nested structures
- Precision extraction engine capable of pulling any field from complex tables, forms, and free‑text sections
- Custom validators written in plain English, automatically translated to Hololang for financial and compliance checks
- Fact grounding that links each extracted value back to its exact location in the source PDF for audit trails
- API‑first design with credit‑based consumption (classification 1 credit/page, segmentation 1, extraction 5, fraud analysis 1)
- Optional fraud detection and duplicate/blurry page detection modules