Konfuzio, from German vendor Helm & Nagel, classifies documents and extracts labelled fields with customer-trained models, checked in a validation UI and delivered as JSON via REST API, SaaS or on-prem.
no count; CSV/JSON export from https://konfuzio.com/en/konfuzio-saas/
Limitations
Standard software that must be adapted by the client; "The overall responsibility for the introduction of the software lies with the customer"; tables, unstructured text and layout extraction need training documents; 3,000 pages/hour reference throughput assumes no training at load time
Pages processed per month (page limit) and per hour (page rate); pages above limit billed per page; SaaS subscription or on-premise licence "priced by volume and requirements"
licence wording from https://konfuzio.com/en/; Azure OCR billed separately at Microsoft list prices (https://help.konfuzio.com/legal/en/leistungsbeschreibung.html)
Published price
"Each page processed above the page rate costs 10 cents" (EUR); business value pilot from €5,000; enterprise implementation from €15,000
The provider’s own sources say different things here. Source conflict: security page (https://konfuzio.com/en/security/) says Helm & Nagel 'relies on Azure Services' for hosting with no region; homepage lists German cloud (Hetzner, Telekom) and hyperscalers (Azure, AWS, Google) and 'Hosted in Europe'
OCR on app.konfuzio.com via "Azure Read API 3.2" (alternatives Tesseract or own OCR engine); DocumentGPT "utilizes the capabilities of OpenAI's GPT-4 API"; hosting partners Hetzner, Open Telekom Cloud; full service-provider list on request from DPO
GPT-4 from https://konfuzio.com/en/documentgpt/; hosting from https://konfuzio.com/en/konfuzio-saas/; list-on-request from https://help.konfuzio.com/legal/tom.html. Bring-your-own OCR engine stated; BYO LLM not described
Retention and deletion
After termination data deleted once contractual period ends, following machine-readable export on request; customers can delete document data "both automatically and manually"
German document processing not individually named on pages read
Human review controls
Document Validation UI lets staff "intuitively verify the accuracy of information automatically extracted"; authorised users give feedback in SmartView to improve the AI
no confidence-threshold setting described on pages read
Audit logging
"The application offers extensive logging"; processing steps logged per document, viewable by superusers; logs "all essential activities (especially change, delete and update operations)"
activities quote from https://konfuzio.com/en/security/; TOM: 'Änderungen am Datenbestand werden protokolliert'
Questions for the provider
Ask the provider which data region applies to your account.
Ask the provider whether your data is used to train models and which consent controls apply.
Ask the provider for applicable certificates and attestations, including their scope and validity.
Ask the provider for the price, billing unit and required commitment for your scope.
Ask the provider which retention and deletion terms apply, including when the contract ends.
Cost per accepted outcome
Editable hypothetical example · not provider pricing or measured performance. Use this monthly worksheet to test your own quote and quality assumptions.
/ accepted outcome
accepted outcomes / month
5,000 tasks × 80% = 4,000 accepted outcomes per month. Higher entered costs raise unit cost; more accepted outcomes spread the same cost over more results.
Formula: entered monthly costs ÷ (monthly tasks × acceptance % ÷ 100). The numerator includes only the costs you enter. Add applicable licence, usage, integration, human review and rework costs yourself; this is not automatically a fully loaded estimate or a vendor billing model. Capacity released is not realized financial value.
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