---
title: "Technology Partners – Integration & Collaboration with tcc"
url: "https://tcc-ai.de/en/technology-partners"
description: "tcc's medical device prediction services can be integrated into your own healthcare software or MedTech solutions through APIs and OEM partnerships."
date: 2026-09-23
modified: 2026-10-22
type: website
site: "tcc | ai"
locale: en_US
---

# Technology Partners – Integration & Collaboration with tcc

### You build the solution. We add clinical decision support.

tcc Prediction Services are designed as backend services without a dedicated user interface. They can be integrated into the applications healthcare professionals already use, while the partner retains control of the frontend and user experience.

Depending on the use case, the services receive the required clinical data, process it in the background, and return the prediction to the integrating system via API.

### REST API

Designed for integration with existing applications.

### Backend Service

No additional tcc frontend required.

### Containerized Architecture

Designed for flexible deployment environments.

### OEM Integration

Medical device decision support embedded into your own product or solution.

 One capability. Different integration scenarios.
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 ![tcc Technology Partners MedTech](https://tcc-ai.de/fileadmin/user_upload/tcc_Technology_Partners_Medical_Tech_Icon_01.svg)### MedTech & OEM

Integrate medical device decision support into medical technology and connected device ecosystems.

 ![tcc Technology Partners Healthcare Software](https://tcc-ai.de/fileadmin/user_upload/tcc_Technology_Partners_Healthcare_Software_Icon_02.svg)### Healthcare Software

Integrate medical device decision support into HIS/KIS, PDMS, clinical applications, or command and clinical applications, or clinical command centers.

 ![tcc Technology Partners Networks](https://tcc-ai.de/fileadmin/user_upload/tcc_Technology_Partners_Networks_Icon_03.svg)### Hospitals & Healthcare Networks

Add medical device decision support to proprietary clinical applications and digital healthcare environments.

 ![tcc Technology Partners Platform Profider](https://tcc-ai.de/fileadmin/user_upload/tcc_Technology_Partners_Platform_Profider_Icon_04.svg)### Digital Health & Platform Providers

Extend existing platforms and healthcare applications with integrated medical device decision support.

 Start with a defined clinical use case.
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tcc currently provides AI-based medical device decision support for for acute kidney injury and sepsis that can be integrated into existing products and solutions through defined OEM and collaboration models.

 [Explore AI Modules](https://tcc-ai.de/en/healthcare-providers/ai-modules)

 More than an algorithm.
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Building clinical decision support for regulated healthcare environments requires more than technology alone.

### Clinical Expertise

Medical expertise grounded in real clinical contexts and decision-making.

### Real-World Healthcare Data

AI-based prediction services developed using real-world healthcare data.

### Medical Device Development

Experience developing clinical decision support within established medical device frameworks.

### Regulatory Expertise

Quality and regulatory capabilities for regulated healthcare environments.

### CE-Marked Medical Device Software

Currently available tcc clinical decision support modules are CE-marked Class IIa medical device software under the EU Medical Device Regulation (MDR).

 Beyond Prediction Services.
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Technology partnerships with tcc can also include connecting complementary technologies with tcc Core or exploring joint development around defined healthcare challenges.

### tcc Core Integration

Connect complementary technologies and applications with tcc Core.

 [Explore tcc Core](https://tcc-ai.de/en/healthcare-providers/tcc-core)

### Joint Development

Discuss your digital healthcare strategy and explore joint technology or innovation projects with our experts.

 [Connect with us](https://tcc-ai.de/en/contact)

 Let’s explore what tcc could add to your solution.
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Tell us about your product, platform, or clinical use case and explore how tcc could complement your existing capabilities.

 [Discuss your integration use case ](https://tcc-ai.de/en/contact)