TamedAI

Intelligent Document Processing Softwaretamed.ai

TamedAI GmbH is a German university spin-off (founded 2019, Essen) that builds proprietary multi-modal language and vision models for enterprise document extraction (Perceptor) and archive search (Trace), sold via API to insurance, healthcare, and professional services customers.

Company typePrivate
Founded2019
HeadquartersEssen, Germany
Headcount1–10
GTM typeB2B
OfferingSoftware

What TamedAI does

TamedAI GmbH is a German AI software company founded in 2019 as a university spin-off and headquartered in Essen. It develops proprietary multi-modal language and vision models that automate content extraction from scans and digital documents (Perceptor) and enable natural-language search across large document archives (Trace). The company's models are built and trained in-house in Germany without external model dependencies, and are positioned around accuracy, full traceability via page references, and avoidance of hallucinations in AI-generated outputs.

The company sells to enterprise customers through an API-first go-to-market motion, with products accessed via REST API and deployable as SaaS, hybrid (customer data local, LLM in the cloud), or fully on-premises in the customer's data center. Perceptor supports both zero-shot extraction and fine-tuning through a single interface, with real-time performance of under 4 seconds per page and batch processing for high-volume workloads. Named customers include adesso, AOK Niedersachsen, ARZService, EY, IVW, SDK Versicherung, and Vivawest, spanning insurance, healthcare, professional services, media, and real estate verticals.

TamedAI operates as a privately held GmbH with 1-10 employees. In June 2023 it received a strategic corporate investment from adesso ventures, the venture arm of adesso SE, where its registered office is also co-located. The company has no publicly disclosed pricing, revenue, or ARR figures, and uses a subscription-based SaaS/API commercial model with deployment flexibility as a core enterprise selling point.

TamedAI firmographics

Firmographics

Name: TamedAI
Legal name: TamedAI GmbH
Website: https://tamed.ai
Company type: Private
Founded year: 2019
Operating status: Operating
Headcount range: 1–10 employees
Short description: TamedAI GmbH is a German university spin-off (founded 2019, Essen) that builds proprietary multi-modal language and vision models for enterprise document extraction (Perceptor) and archive search (Trace), sold via API to insurance, healthcare, and professional services customers.
Ownership category
akta.pro rank

TamedAI industry classification

Industry

Product category: Intelligent Document Processing Software
NAICS: Software Publishers (5132), Software Publishers (513210)
SIC: Services-Prepackaged Software (7372), Services-Computer Processing & Data Preparation (7374)
akta.pro primary industry: OCR, ICR & Intelligent Document Processing (IDP) (BPAAAKAB)
akta.pro secondary industry: Generative AI & LLM Solutions Services (RAG, Agents, Copilots) (BPAEAHAG)

Keywords

Document data extraction
AI document processing
Multi-modal language models
Intelligent document automation
Enterprise document AI

Where TamedAI is headquartered

Location

Headquarters

HQ city: Essen
HQ country: Germany
HQ region: Europe

Offices1 record

Markets served

TamedAI business model

Business model

GTM type: B2B
Offering type: Software
Cost components: Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations

Revenue model

SaaS/API Subscription: TamedAI generates revenue through cloud-based and on-premises deployment of Perceptor and Trace products. Products are accessed via REST API and can be operated as SaaS, hybrid (data locally, LLM in cloud), or fully on-premises. The revenue model appears to be subscription-based with usage components, given the real-time extraction and batch processing capabilities.

Go-to-market motion1 record

Distribution channels1 record

Marketing channels2 records

TamedAI product offering

Product offering

Core offering

TamedAI develops and sells AI-powered document processing software delivered through two main products: Perceptor, a multi-modal language and vision model that automatically extracts structured content (including tables and header data) from scans and digital documents via a REST API; and Trace, an enterprise document archive search solution that retrieves precise information from large heterogeneous document collections using natural language queries. Both products are developed and trained in-house in Germany and can be deployed as cloud SaaS, hybrid, or fully on-premises installations without external model dependencies.

Product overview

TamedAI offers two core AI-powered products: Perceptor and Trace. Perceptor is a multi-modal document extraction platform that automatically extracts content from scans and digital documents using language and vision models, offering both real-time extraction and batch processing capabilities with full traceability. Trace is a companion product focused on information retrieval across document archives, enabling users to find specific information with simple queries. Both products can be operated in the cloud, hybrid mode, or completely on-premises (on-premise), developed and operated by TamedAI GmbH in Germany without external model dependency.

Differentiator

Problem solved

Functional benefit

Products and services

Perceptor Multi-modal language and vision AI model that automatically extracts structured content (document type, header data, tables) from scans and digital documents, delivered via REST API with JSON output for enterprise integration. Supports real-time extraction (under 4 seconds per page) and batch processing, with page-reference traceability and zero-shot or fine-tuned modes. Available as SaaS, hybrid, or on-premises deployment.
Trace Enterprise document archive search product that uses natural-language queries to find precise information across large, heterogeneous document collections without hallucination. Provides an intuitive web UI, fine-grained access control, and operates as SaaS, hybrid, or on-premises.

Quantifiable outcome

Real-time extraction processing time of less than 4 seconds per page
+1 more outcomes

Companies that use TamedAI

Customer profile

Named customers7 records

Segments2 records

Ideal customer profiles1 record

TamedAI technology and API

Technology

Technology focussed Yes

API detail

Has API: Yes
API docs
API detail

Core technology

AI maturity

App detail

AI capability7 records

Feature3 records

TamedAI partnerships and signals

Strategic signal

Scale indicators1 record

Recent moves4 records

Expansion highlights5 records

TamedAI competitors and assessment

Company assessment

Broad incumbents

UiPath: Broad automation platform with document understanding capabilities as part of a wider RPA/AI portfolio; competes with TamedAI for enterprise document-processing automation spend.
Google Document AI: Google Cloud's document understanding suite offering processors for invoices, contracts, and forms; competes on enterprise-grade extraction with strong multimodal foundation models.
Microsoft AI Document Intelligence (Azure Form Recognizer): Hyperscaler document AI service with prebuilt and custom extraction models; a key alternative for enterprises standardizing on Azure and a competitive threat to API-first IDP vendors.

Direct peers

Instabase: AI platform for unstructured data and document automation at enterprise scale; comparable to TamedAI's combined Perceptor + Trace capabilities for complex document workflows.
Rossum: Cloud-native IDP platform using AI to extract data from business documents; directly competes with TamedAI's Perceptor across enterprise document automation use cases in Europe.
Klippa: IDP vendor offering OCR and data extraction APIs for invoices, receipts, and documents; directly comparable API-first, AI-driven approach to TamedAI's Perceptor.
ABBYY: Long-standing IDP and OCR vendor offering AI-powered document extraction and process intelligence; overlaps with TamedAI on enterprise document data capture and extraction.
Veryfi: API-first OCR and document AI platform for real-time data extraction from receipts, invoices, and IDs; competes on similar API-first, accuracy-driven positioning.
Hyperscience: AI-native platform for document processing and form extraction; comparable in targeting enterprise back-office workflows with multi-modal AI, similar to TamedAI's Perceptor.

Emerging players

Docparser: Cloud-based document parsing and data extraction SaaS with API access; comparable API-first extraction offering for SMEs and enterprise document workflows.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat3 records

Key risks7 records

Key highlights6 records

Customer concentration

TamedAI financial estimates

Financial estimate

Revenue estimate

Valuation estimate

TamedAI leadership team

Management profile

Number of profiles

Profiles2 records

TamedAI funding detail

Funding detail

Funding overview

Funding rounds1 record

Investors1 record

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

TamedAI M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about TamedAI

What does TamedAI do?

Is TamedAI a public or private company?

TamedAI is a private company. It is classified as venture growth investor backed and is currently operating.

When was TamedAI founded?

TamedAI was founded in 2019. It employs 1 to 10 people.

Where is TamedAI based?

TamedAI is headquartered in Essen, Germany, in the Europe region.

How does TamedAI make money?

One revenue line is on record: saaS/API Subscription.

Who are TamedAI's main competitors?

Broad incumbents on record are UiPath, Google Document AI and Microsoft AI Document Intelligence (Azure Form Recognizer). Direct peers are Instabase, Rossum, Klippa, ABBYY, Veryfi and Hyperscience. Docparser is listed as an emerging player.

Does TamedAI have an API?

Yes. Perceptor can be easily accessed via REST API. Users send a document with a list of information they are looking for, and Perceptor returns the answers in JSON format. This allows Perceptor to be easily integrated into a wide variety of system landscapes.

What industry is TamedAI in?

TamedAI's product category is Intelligent Document Processing Software. Its primary akta.pro industry code is BPAAAKAB, OCR, ICR & Intelligent Document Processing (IDP), with a secondary code of BPAEAHAG, Generative AI & LLM Solutions Services (RAG, Agents, Copilots). Its NAICS code is 5132 and its SIC code is 7372.