5C Network: Redefining Radiology with AI for Bharat and Beyond


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  • 5C Network is India’s leading AI platform for radiology, revolutionising how scans are interpreted and reported across hospitals and diagnostic centres. It’s the most widely deployed medical imaging AI in the country.
  • The startup combines deep-tech AI, human expertise, and full-stack infrastructure to make quality radiology accessible nationwide.
  • Its Bionic AI co-pilot enhances radiologists’ performance without replacing them, creating a sustainable model for modern healthcare.

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Key Takeaways

  • 5C Network is India’s leading AI platform for radiology, revolutionising how scans are interpreted and reported across hospitals and diagnostic centres. It’s the most widely deployed medical imaging AI in the country.
  • The startup combines deep-tech AI, human expertise, and full-stack infrastructure to make quality radiology accessible nationwide.
  • Its Bionic AI co-pilot enhances radiologists’ performance without replacing them, creating a sustainable model for modern healthcare.

The seeds of 5C Network were sown not in a lab, but in a hospital corridor. When Syed Ahmed, co-founder of 5C, faced a 48-hour wait for an MRI report in a top-tier Bangalore hospital, the issue became personal. If delays were this stark in a metro city, what hope did smaller towns have?

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For co-founder Kalyan Sivasailam, the hype around AI replacing radiologists in 2017–18 didn’t resonate. Despite loud claims from global voices, he saw a gap in real-world impact, especially in India.

What AI needed wasn’t just accuracy; it needed data, context, and collaboration with radiologists. That realisation birthed 5C: a platform where AI augments, not replaces, human expertise.

The Diagnosis Gap India Can’t Ignore

India has just one radiologist per 100,000 people. With over 300 million scans annually, this deficit leads to delays, errors, and missed diagnoses. Conventional AI firms focused on single diseases or screening use cases, but failed to scale into clinical workflows.

5c network

5C approached the problem differently. It reimagined radiology as a systems problem, not just an AI challenge. The result: an AI-native, full-stack platform that integrates image interpretation, clinical context, workflow optimisation, and quality control, delivering timely, accurate diagnoses at scale.

How 5C Works: AI That Thinks, Learns, and Assists

At the heart of 5C’s innovation is Bionic, an AI co-pilot that helps radiologists by:

  • Interpreting images and patient history using Vision-Language Models (VLMs)
  • Flagging errors, contradictions, or missed findings
  • Generating structured draft reports for validation
  • Triaging urgent cases for immediate attention
5c network

Importantly, every scan is still reviewed and signed off by a certified radiologist. AI accelerates and enhances the process, but doesn’t override human judgment. This human-in-the-loop model combines safety with scale. And with every scan processed, over 15 million to date, the system gets smarter.

The Architecture Behind the Impact

5C operates through three synergistic verticals:

  • Frontier AI Research (FAIR) Lab: Conducts deep research into AI architectures for medical imaging.
  • Applied AI Team: Converts experimental models into robust, production-ready tools.
  • Go-To-Market (GTM) Team: Delivers these solutions across hospitals in India and abroad.

Together, they form a research-to-reality pipeline that keeps improving.

Built in India, for the World

5C’s name reflects its inclusive philosophy: connecting the patient, physician, diagnostician, hospital, and AI. Its tech has reached over 2,000 hospitals across 300+ cities and towns, transforming facilities from metros to rural districts like Lingasugur in Karnataka.

5c network

There, a covered CT scanner once sat idle. Now, it processes emergency scans with AI-backed radiologist support, saving lives and eliminating diagnostic delays.

Commercial Model with Social Impact

5C offers its platform as a per-inference service, bundled with quality assurance, turnaround guarantees, and optional SaaS tools. Hospitals pay based on scan modality and urgency, gaining 24×7 access to top-tier radiology without needing on-site experts. The model is scalable, capital-efficient, and already powering partnerships with 5 of India’s top 10 hospitals.

Rapid Growth, Real Impact

5C Network is growing at a remarkable rate of 70–80% annually, backed by leading investors including Celesta Capital, Capria Ventures, TATA 1mg, and angel investor Shivthilak Tallam. What sets it apart from traditional teleradiology firms and narrow AI ventures is its comprehensive, full-stack diagnostic platform. At its core lies the world’s largest annotated medical imaging dataset, giving 5C’s AI unmatched accuracy in real-world clinical environments.

5c network

Beyond technology and traction, 5C’s impact is tangible. It has been recognised by Forbes India 30 Under 30, Startup Karnataka’s Top Tech 25, and top healthcare publications. Most importantly, it has expedited over 75,000 emergency cases and eliminated more than three million hours of patient wait time, transforming how care is delivered across India.

Eyes on the Future

In the short term, 5C is focused on expanding Bionic’s adoption across its hospital network and pushing the frontier of VLMs for medical reasoning. International partnerships are also in motion, targeting teleradiology groups looking for scalable, quality-backed reporting.

Long-term, the vision is clear: a global radiology infrastructure where every scan is automatically analysed, triaged, and optimised, regardless of geography.

A Revolution Rooted in Responsibility

From Begusarai to Bangalore, 5C Network proves that deep-tech, when built with empathy and scale in mind, can reshape healthcare. It doesn’t promise to replace radiologists; it empowers them, ensuring that no patient, regardless of location, is left waiting for answers.

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As Kalyan Sivasailam advises future founders: “Trust is earned, not sold, especially in healthcare. Focus on building real systems that work, not just great demos.”



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