Acodis \u2014 AI Document Processing Software
Swiss AI-powered document processing software specializing in variable document structures for regulated industries since 2016.
Overview
Acodis develops intelligent document processing software that transforms unstructured documents into structured data using artificial intelligence. Founded in 2016 by three ETH Zurich graduates—Martin Keller (CEO), Patrick Emmisberger (CTO), and Benjamin von Deschwanden (CPO)—the Acodis company rebranded from Turicode to Acodis in 2021.
The Swiss company completed a $6.5M Series A funding round in January 2023, bringing total funding to $11.4M since 2020. With 29 employees based in Winterthur, Acodis document processing software differentiates itself by processing documents with varying structures and layouts rather than standardized forms, competing against 14 identified competitors including Hyperscience and Docugami.
The platform serves regulated industries including life sciences, financial services, and manufacturing, with customers including Syngenta and Roche. All data is hosted in Swiss facilities to meet compliance requirements for pharmaceutical and financial sector clients.
How Acodis document processing software works
Acodis document processing software handles documents with changing layouts without predefined templates through combined pre-trained and custom AI models. The platform meets pharmaceutical industry validation requirements with Swiss data hosting while processing documents in any language with over 95% claimed accuracy. Unlike cloud-only competitors like Rossum, Acodis supports on-premise deployment—a requirement for regulated industries where ABBYY and Hyland also compete.
The verification interface enables quality control and continuous model training through human-in-the-loop validation. REST API connections integrate with LIMS, QMS, ERP systems and RPA platforms including SAP, UiPath, Oracle, and Azure. The consultative approach offers both standard packages and bespoke solutions for enterprise-grade IDP requirements.
Use Cases
Life Sciences Regulatory Documents
Pharmaceutical companies process batch records, manufacturing protocols, and regulatory submission packages while maintaining GxP compliance. The platform extracts data from quality control documents and laboratory reports with validation features for regulatory accuracy.
Variable Invoice Processing
Finance departments handle invoices across multiple vendor formats without template configuration. The AI models adapt to layout variations while extracting vendor information, line items, and amounts for accounting system integration.
Contract Analysis
Legal teams process contracts with varying clause structures and formatting. The system identifies key terms, obligations, and dates regardless of document layout, accelerating contract review workflows.
Technical Specifications
| Feature | Specification |
|---|---|
| Core Technology | AI, machine learning, advanced OCR |
| Document Handling | Variable structures without templates |
| Extraction Accuracy | Over 95% (claimed) |
| Deployment Options | Cloud, on-premise |
| API | REST |
| Supported Languages | Multilingual (any language) |
| Document Formats | PDF, scanned documents, Word, emails |
| Output Formats | JSON, XML |
| Data Hosting | Switzerland (compliance) |
| Integrations | SAP, UiPath, Oracle, Azure, LIMS, QMS, ERP |
| Compliance | ISO certified, GxP compliant |
| Security | Encryption in transit and at rest |
Resources
Company Information
Address: Stadthausstrasse 14, 8400 Winterthur, Switzerland
Registration: CHE-448.467.864
Founded: 2016
Team Size: 29 employees
Funding: CHF 6 million Series A (2023, Hi Inov and VI Partners)