deepc, a global leader in healthcare AI infrastructure, has announced the next generation of deepcOS®, unveiling its breakthrough agentic AI infrastructure that unites healthcare data, AI, and clinical workflows into one intelligent ecosystem.
AI has shown remarkable potential to detect, segment, and quantify findings in medical images, yet progress remains constrained by fragmented implementation. Models are often deployed into complex IT environments where critical information is scattered across EHR, PACS, RIS, and specialty systems. Too often, the data that matters most is unavailable when clinicians need it, making it difficult for healthcare organizations to translate AI from promise to practice.
Many marketplace-style platforms claim to simplify adoption but remain limited by the same systemic barriers, distributing models without solving deeper challenges of interoperability, governance, and workflow integration. deepc takes a different approach. Rather than aggregating vendors or optimizing for short-term transactional gain, it has built enterprise AI infrastructure centered on performance, where value is measured by clinical impact.
At its 2025 Launch Event, deepc introduced a decisive answer to these barriers: open, enterprise-grade agentic AI infrastructure with an intelligent operating layer that powers the continuum of care. Built on secure orchestration, the next-generation deepcOS® goes beyond imaging, enabling context-aware insights, automation, interoperability across systems, and real-time clinical decision support.
“Healthcare needs more than single-purpose models or disconnected platforms; it needs intelligence that works together,” said Dr. Franz Pfister, CEO of deepc. “With the next generation of deepcOS, we are transforming infrastructure itself into a source of intelligence, seamlessly, responsibly, and at scale.”
Included is AIDA®, the AI Copilot for Radiology and beyond, designed to put clinicians back at the center of care. Built on deepc’s Agent Orchestration Layer, powered by Model Context Protocol (MCP) and Agent-to-Agent (A2A) technologies, it connects models, workflows, and data into one ecosystem where agents collaborate and act intelligently.
For healthcare, the impact is clear:
- Connected Intelligence: Complete clinical context in one view.
- Adaptive Workflows: AI rules orchestrate analyses and downstream actions.
- Collaborative Ecosystem: Departments work from the same source of truth.
- Closed-Loop Care: Insights drive next steps and outcomes.
- Enterprise Readiness: Built for scale, governance, and security.
The next-generation deepcOS® AI infrastructure will be deployed first through sandboxed environments with Mass General Brigham AI (Boston), King’s College and Guy’s and St Thomas’ NHS Foundation Trust (London), and LMU University Hospital (Munich), ensuring responsible, human-centred innovation.
“To responsibly deploy agentic AI in healthcare, you need both the regulatory framework and the technical foundation,” said Prof. Sébastien Ourselin, Head of the School of Biomedical Engineering & Imaging Sciences at King’s College London. “Our partnership with deepc allows us to test and refine these systems within a secure infrastructure, ensuring that innovation translates safely into clinical benefit.”
Healthcare leaders can experience deepcOS® live at RSNA 2025, where deepc will demonstrate how agentic AI workflows are transforming healthcare from diagnosis and reporting to decision-making and beyond.

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