Where clinical intelligence meets technology.
Software can measure accuracy. It cannot tell you whether an answer is medically sound, whether a dataset holds up as ground truth, or whether a workflow survives real clinical use. Those are judgements a clinician has to make. We put clinicians in the loop that makes them.
We build the clinical intelligence layer between healthcare technology and real-world medicine.
Clinical review, quality governance and healthcare operations sit inside one process here, with the engineering that runs it. The point is not to process healthcare data. It is to say, with evidence behind it, whether what comes out can be trusted in care.
Clinical judgement, available as infrastructure — wherever medicine and software meet.
Put specialist clinical review within reach of the teams building and running healthcare technology.
Physician-led, accountable leadership.
Executive authority and clinical authority are kept apart on purpose. Division leadership answers for the business. Sign-off on an individual case stays with credentialed clinicians and cannot be overridden from above.
Dr. Lathis provides executive leadership for the division's strategy, growth, clinical governance architecture, partnerships, and commercial development. He founded the division and shaped its physician-led model, which covers clinical AI validation, medical data and ground truth, regulatory evidence, and human oversight of healthcare AI. He built it around clinicians rather than around the model.
A qualified Orthopaedic Surgeon with advanced training in joint replacement and trauma care, Dr. Manoj provides medical leadership across the division's multidisciplinary clinical network. Working with Specialty Leads, Domain Experts, and clinical professionals, he strengthens clinical governance, upholds evidence-based standards, and ensures clinical expertise remains central to the division's healthcare and AI initiatives. He practises the way he expects the division to work: listen to the patient, decide with them, treat the person in front of you rather than the average. Technology here is held to that same bar.
A healthcare management professional with a Master's in Hospital Administration from TISS Mumbai, Mr. Amin contributes to strategic planning, healthcare operations, clinical collaborations, and the development of healthcare AI initiatives. His work sits between the clinical side of the division and the commercial one, which is where AI projects tend to succeed or quietly fail. He keeps them grounded in how hospitals actually run.
Dr. Leeli is one of the credentialed reviewers who do the actual reading — model outputs, raw records — and decide what holds up as clinical evidence and what does not.
Clinical focus: Cross-referencing complex electronic health records (EHR) and verifying multi-modal imaging accuracy.
Dr. Anuradha runs clinical governance for the UK and EU. The EU AI Act and CE-MDR have raised what those markets will accept as evidence, and her role is the medical oversight that makes it hold up. From London she leads human-in-the-loop validation, adjudicates the difficult cases, and writes the review protocols that GenAI models and clinical datasets are tested against.
The team building the trust layer.
Clinicians set the standard. This team makes it run — the platform the benches review through, the delivery model behind it, and the privacy framework it all sits under. Same governance applies to them.
Sathwik runs cloud architecture and global delivery. He came up through cloud engineering and cross-border enterprise systems, and now designs the zero-trust pipelines and the follow-the-sun workflows that enterprise healthcare clients are served through.
Dinesh runs legal compliance and data protection. His field is IT law, AI governance and data privacy regulation — India's DPDP Act and the GDPR in particular — and his job is making sure our validation pipelines and cross-border workflows actually meet those statutes. He also handles the digital contracts and regulatory analysis enterprise clients lean on when they have to show their AI work is compliant.
Your technology has intelligence.
Give it clinical intelligence.
Talk to Curota Health