Build

Build Your Radiology AI Solution Seamlessly on deepcOS®

Bridge the gap between AI research and clinical application on one comprehensive infrastructure platform. with deepcOS® Researcher Suite.

Two men on a purple background with the words from idea to implementation navigating

From Research to Production

The deepcOS® Researcher Suite is optimized to support the entire AI development process from research to production. Whether you're a medical researcher looking to validate and deploy your AI model in your clinical environment or an AI vendor aiming to quickly expand your market reach, the enterprise-grade deepcOS® offers a robust, integrated platform that automates data handling, streamlines validation, and ensures reliable deployment.

This allows you to overcome complex engineering challenges and focus on achieving faster, more reliable results for your AI model’s performance.

Most Medical AI Models Never Reach Clinical Impact

Fragmented infrastructure, manual workflows, and limited IT resources often stall even the best models before deployment. deepcOS® Researcher Suite removes these barriers—uniting packaging, evaluation, and deployment in one secure environment, built on the same enterprise-grade platform trusted for commercial AI. From early-stage validation to real-world use, it provides a reproducible, scalable foundation for clinical integration.

Aspect

Traditional Approach

deepcOS® Platform

AI Lifecycle Management

Fragmented, manual tracking across phases

Infrastructure Setup

Manual setup, time-consuming

Data Management

Complex manual processes

Model Staging in Clinical Workflow

Ad-hoc, slow integration into practice

Clinical Integration

Requires custom development and configuration

Scalability

Limited by local resources

Monitoring

Manual basic metrics tracking

A Complete Offering Across the AI Lifecycle

deepcOS® Researcher Suite delivers all the tools you need to move from prototype to clinical impact, including packaging, staging, evaluation, deployment, integration and monitoring, within one secure, enterprise-grade platform.

Lifecycle

Click a segment to explore

deepcOS® Lifecycle Manager

Guided interface for staging and technical validation with built-in logs, input checks, and version control.

deepcOS® AI Evaluator

Collect structured, multi-reviewer clinical feedback and compare results side-by-side with other models.

Cloud or On-Prem Deployment

Flexible options to meet security, compliance, and performance needs.

deepcOS® Clinical API

Enable worklist, viewer, and reporting integration when moving into real-world workflows.

Analytics Dashboard

Monitor technical performance, success rates, processing times, prediction behavior, and version history.

deepcOS® SDK

Package AI models with deepcOS-compliant DICOM outputs. Supports containerized models & MONAI MAPs.

Streamlined Validation of Your AI Models

In-house AI models need additional data to assess their real-world performance. deepcOS® Researcher Suite enables comprehensive validation in your clinical setting.

Automated Data Handling

deepcOS® Researcher Suite eliminates the need for manual data extraction and preparation by automating these processes within the clinical workflow.

Integrated Environment

AI models can be validated directly in a production-like environment without setting up additional infrastructure.

Comprehensive Evaluation

Gather assessments of model performance, user experience, and clinical outcomes, providing robust evidence for journal publication and commercialization.

From Deployment to Continuous Improvement

Once your model is validated, move seamlessly into production workflows and keep improving with ongoing performance monitoring.

Deployment & Integration

Secure, scalable infrastructure with smooth integration into existing workflows.

Flexibility

Deploy via cloud, on-prem, or hybrid to meet technical and compliance requirements.

Monitoring & Optimization

Built-in analytics to track performance trends, success rates, and processing behavior for continuous improvement.

Develop & Package

Use the deepcOS® SDK to prepare DICOM-compatible engine reports. Supports containerized models and MONAI MAPs.

Self-service integration of your AI models in real-time

Move your AI model from development to clinical practice without challenges from backend engineering and IT prioritizations.

Transparency in integration

See all of your submissions at a glance and access tooling to troubleshoot submissions in real-time

Upload & Evaluate

Securely upload or route DICOM exams to deepcOS for evaluation. Collect structured accept/doubt/reject feedback and even compare results with other models.

Insights into your AI solution’s performance

Comprehensive dashboard enables users to monitor submitted AI solutions, gaining insights into execution time, success rate, and JSON-related metrics.

Looking to deploy your research AI engine?