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Christopher Helm
Christopher Helm

Christopher Helm founded Helm & Nagel GmbH in 2016 after studying Information Technology at TU Munich and Business Administration at the University of Mannheim. He leads the company's technical strategy and personally reviews production deployments.

On August 3, 2025, Helm & Nagel GmbH unveiled Quick-Extract, a cloud-native document intelligence platform designed to accelerate data extraction workflows across industries. The innovation combines multimodal large language models with autonomous agent capabilities, enabling organizations to automatically generate production-ready data extraction solutions from document samples. Engineered for rapid deployment, the platform delivers critical functionality in minutes rather than months. Companies seeking to extract structured data from routine documents, including invoices, purchase orders, contracts, and regulatory filings, can now do so without training data, manual field configuration, or the overhead of traditional solutions.

"Not every use case requires the full complexity of an enterprise IDP solution," explains Christopher Helm, Managing Director of Helm & Nagel GmbH. "That's why we developed Quick-Extract. Our LLM agent does the heavy lifting. It analyzes your documents and has your API ready to go in just minutes."

Full Multimodal LLM Integration with Agent-Based Development

The core innovation of Quick-Extract is based on the integration of multimodal large language models acting as autonomous agents. They independently analyze uploaded sample documents and automatically generate functional extraction solutions. The system achieves text recognition accuracy above 99.5% across 50+ supported languages and delivers an F-score accuracy of 92% for data extraction without training.

The platform processes PDFs and image files via an intuitive web interface, with average API response times of about 10 seconds per document. With "one-shot learning," the agent creates a complete extraction schema from a single document and immediately deploys it to production.

Sample Use Cases

Quick-Extract adapts automatically to a wide range of scenarios across different industries:

  • Regulatory documents: Processing of Key Investor Information Documents (KIID) with automatic extraction of product types, ISIN codes, and performance indicators
  • Finance: Analysis of fund newsletters with extraction of fund names, types, currencies, and management fees
  • Human resources: Automated processing of résumés with extraction of contact details, skills, and work experience
  • Energy sector: Extraction of all relevant metrics and validity dates from energy performance certificates
  • Custom document types: Tailored extraction for insurance, market research, legal, and other documents, regardless of format and layout

The flexible user interface allows users to specify custom fields and even implement complex Boolean conditions.

Technical Architecture and Integration

Quick-Extract follows a cloud-only approach with an optimized backend architecture for maximum speed. The platform offers an API interface for core operations and enables seamless integration via REST endpoints. The system supports dynamic scaling and is designed for medium document volumes. Through interactive API documentation, users gain direct access to GET and POST endpoints. Output is provided in JSON format by default, enabling straightforward downstream processing. The platform is preloaded and comes without cold-start delays.

Differentiation from Enterprise IDP Solutions

Enterprise IDP Platform

  • Complex workflows with extensive customization
  • RBAC, SSO integration, audit trails
  • Full microservice architecture
  • Enterprise-grade autoscaling, multi-tenancy

Quick-Extract

  • Maximum speed and instant availability
  • One-shot learning from a single document
  • Production-ready API in minutes
  • Usage-based pricing, no minimum contract

Quick-Extract complements Helm & Nagel GmbH's established enterprise IDP platform, as highlighted in recent industry announcements and press coverage. While the enterprise platform is designed for complex workflows with extensive customization options such as RBAC, SSO integration, and audit trails, Quick-Extract focuses on maximum speed and instant availability. The enterprise IDP platform offers a full microservice architecture with enterprise-grade autoscaling, multi-tenancy support, and extensive customization via Python-based rule engines. Quick-Extract, in contrast, reduces this complexity in favor of immediate usability.

"Both solutions address different requirements," emphasizes Helm. "Our enterprise platform is suited for companies with maximum functionality demands, while Quick-Extract is for teams that want to achieve productive results within minutes."

Pricing Model and Availability

Quick-Extract follows a transparent, usage-based pricing model with no minimum contract terms. New users receive an initial credit upon registration for free testing; processing is billed at transparent per-document costs. The platform is available now at quick-extract.com and offers full API support for integration into existing business processes.

About Helm & Nagel GmbH

Since 2016, Helm & Nagel GmbH has been developing AI solutions for companies with demanding business requirements. Based in Aßlar, the company helps clients leverage AI-based automation to create more efficient processes, improve customer satisfaction, and unlock new market opportunities. Explore more company announcements and press releases covering sustainability initiatives, international industry recognition, and participation at Web Summit 2025.

Press Contact Tim Filzinger Helm & Nagel GmbH Rosenweg 5 35614 Aßlar Tel. +49 15679 155391 Email tim.filzinger@helm-nagel.com