DeepTek’s Augmento to Strengthen AI-Driven Radiology Workflows at Tata Memorial Hospital

With deployments across more than 1,000 hospitals and imaging centres globally, DeepTek’s systems are already processing scans at scale.

A Pune-based AI radiology startup, DeepTek, has moved to deploy its Augmento radiology AI platform at Tata Memorial Hospital, enabling structured integration of artificial intelligence into cancer imaging workflows while supporting efficiency, oversight, and standardized reporting across clinical systems.

The platform has been designed to integrate seamlessly into existing hospital systems, allowing clinicians to manage, validate, and monitor AI tools while maintaining full control over clinical decisions.

Augmento is US FDA-cleared, CE-certified, and has been deployed in healthcare systems, including in Singapore. Augmento serves as a deployment and orchestration layer for radiology AI, enabling hospitals to integrate multiple algorithms into their workflows in a controlled, traceable manner.

It supports performance monitoring, auditability, and structured data management, which are critical for ensuring clinical reliability and regulatory compliance.

Dr Amit Kharat, Co-Founder of DeepTek, said the recognition highlights the importance of system-level thinking in AI adoption. "The conversation around AI in healthcare is moving beyond algorithms to infrastructure. For oncology, the real impact comes when AI is embedded within clinical systems in a way that is auditable, measurable, and aligned with how radiologists actually work. Platforms that enable disciplined deployment are essential for scaling safely across institutions."

Beyond oncology workflows, DeepTek has been advancing AI applications in lung health, including tuberculosis screening and detection of lung abnormalities through chest X-rays.

These solutions are already being used in screening programmes and routine clinical settings, where they assist in triaging cases, prioritising high-risk findings, and generating structured preliminary reports for radiologists.

The platform also supports multimodal imaging, extending its capabilities to CT, MRI, PET-CT, ultrasound, and Doppler studies. Its agentic reporting features are designed to improve consistency and productivity while ensuring that radiologists remain central to interpretation and final diagnosis.

With deployments across more than 1,000 hospitals and imaging centres globally, DeepTek’s systems are already processing scans at scale.

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