Acodis: IDP Software Vendor
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Swiss AI-powered document processing software specializing in variable document structures for regulated industries since 2016.
Overview
Acodis develops intelligent document processing (IDP) software that transforms unstructured documents into structured data using artificial intelligence. Founded in 2016 by three ETH Zurich graduates, the company rebranded from Turicode to Acodis in 2021 and has since concentrated on pharmaceutical and life sciences document automation. The leadership team includes Martin Keller (CEO), Patrick Emmisberger (CTO), Benjamin von Deschwanden (CPO), and Patrick Bürkle (CCO).
The Swiss company closed a CHF 6 million Series A led by Hi Inov and VI Partners, bringing total funding to $11.4M since 2020. "We strongly believe that Acodis will become the Pharma and Health industry leader," said Olivier Laplace, Managing Partner at VI Partners. With an estimated 25 employees based in Winterthur (the Top 100 Swiss Startups listing reports 15, suggesting the directory may lag the funding announcement), Acodis differentiates itself by processing documents with varying structures and layouts rather than standardized forms.
The platform serves regulated industries including life sciences, financial services, and manufacturing. Named customers include Roche, Syngenta, Allianz, and Rhenus. Acodis reports winning three of the ten largest pharmaceutical companies as customers in the past twelve months. All data is hosted in Swiss facilities to meet compliance requirements for pharmaceutical and financial sector clients.
How Acodis document processing software works
Acodis 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 company launched a no-code SaaS platform that enables business users to configure AI models for any document type and language without developer involvement. This positions Acodis to compete with both traditional IDP vendors and the emerging wave of no-code document automation tools, while maintaining the enterprise compliance features that pharma customers require.
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.
Use Cases
Life Sciences Regulatory Documents
Pharmaceutical companies process batch records, manufacturing protocols, and regulatory submission packages while maintaining GxP compliance. Acodis has sharpened its positioning specifically around batch record review automation, mapping itself against electronic batch record (EBR) vendors like Werum PAS-X and MasterControl, and backbone QMS platforms like Veeva and TrackWise. The company argues that ML-based document review delivers results in 6 to 12 months, compared to 18 to 36 month deployments typical of full EBR implementations.
Acodis reports a 60% reduction in review time and 25% shorter batch release cycles for pharma customers. These figures are self-reported and lack independent verification, but the three top-10 pharma wins suggest the value proposition resonates with enterprise buyers. 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. Customers like Allianz and Rhenus use the platform across financial and logistics document workflows.
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 |
| No-Code Platform | Business user configuration without developers |
Resources
Company Information
Address: Stadthausstrasse 14, 8400 Winterthur, Switzerland Registration: CHE-448.467.864 Founded: 2016 Team Size: 25 employees (per Series A announcement; Top 100 Swiss Startups lists 15) Funding: CHF 6 million Series A (2023, Hi Inov and VI Partners) Named Customers: Roche, Syngenta, Allianz, Rhenus, plus three undisclosed top-10 pharma companies