# TamedAI

> AI document extraction and enterprise search for insurance and regulated industries

## At a glance

| Field | Value |
| --- | --- |
| Category | Document Management |
| Type | Solutions Provider |
| Region | EMEA |
| Headquarters | Essen, Germany |
| Founded | 2019 |
| Stage | Startup |
| Employees | 1-10 |
| Funding | Seed |

## Overview

TamedAI is a document management and AI extraction software provider for insurance carriers, hospitals, and industrial organizations. The company was founded in 2019 as a spin-off from the Software Engineering department at the University of Duisburg-Essen and focuses on automating the extraction of structured information from unstructured documents.

The company develops Perceptor, a multimodal large language model that performs semantic document analysis -- combining natural language understanding, layout recognition, and visual processing -- to extract structured data from images, PDFs, and text files without relying on traditional OCR. Perceptor processes documents in under four seconds per page, supports multiple languages, and is deployable as SaaS, hybrid, or on-premises. A REST API and Python client library enable integration into existing workflows. Customer-specific model tuning (called "Flavours") can be applied to domain datasets without full retraining.

TamedAI raised seed investment from adesso ventures in June 2023. adesso SE, the strategic partner and investor, plans to use Perceptor in client engagements across the manufacturing and business services sectors. The company targets insurance back-office automation as a primary use case, enabling carriers to process and extract data from claims documents, invoices, and policy forms at scale.

## Products & services

### Perceptor

Perceptor is an AI-powered document extraction product built on a multimodal large language model. It performs semantic analysis of documents -- processing text, layout structure, and visual elements simultaneously -- to extract information and return structured JSON output. The product operates without external model dependencies and can be run fully on-premises for data-sensitive environments.

**Key features:**

- Real\-time processing: under 4 seconds per page
- Multi\-language support
- Zero\-shot integration \(no training required to start\)
- Flavours: domain\-specific model tuning on datasets of 50\+ documents
- Supports text, JPG/PNG, and multi\-page PDF inputs
- Structured table extraction and confidence scoring
- REST API with token\-based authentication

*Target users:* Insurance carriers, hospitals, chemical manufacturers processing high document volumes

### Trace

Trace is an enterprise search product that enables organizations to locate information across large document archives. It provides a web interface with fine-grained access controls, designed for organizations managing extensive repositories of structured and unstructured documents.

**Key features:**

- Full\-text search across large document archives
- Web\-based user interface
- Fine\-grained access control

*Target users:* Organizations with large document repositories requiring fast, accurate search

## Category & focus

- Subcategories: AI Document Extraction, Intelligent Document Processing, Enterprise Search
- Insurance verticals: P&C Commercial, Specialty/E&S
- Target customers: Carriers

## Links

- Website: <https://tamedai.de>
- Directory profile: <https://insurtechlist.com/companies/tamed-ai/>
- Github: <https://github.com/TamedAI>
- Linkedin: <https://de.linkedin.com/company/tamedai>
- Api platform: <https://platform.tamed.ai>

---

*Last updated: 2026\-06\-08*