Predict, prevent, personalize

With a homegrown Al stack and 70,000 tests a day, Redcliffe Labs is rewriting the diagnostic playbook. From intelligent test recommendations to predictive analytics and bias-aware models, Al is now your lab partner

- Ashok Pandey

In an exclusive conversation with Aditya Kandoi, Founder & CEO, Redcliffe Labs, breaks down how Al is no longer a back-end buzzword but the driving engine behind real-time, predictive, and personalized diagnostics. From building an in-house tech stack to solving India's fragmented health data problem, the insights reveal a startup that's not just scaling diagnostics but redefining it.

AI in diagnostics: the new normal

Diagnostics isn't just about detecting disease anymore. It’s about reading between the lines, often before symptoms show up. At Redcliffe Labs, this shift is already underway, powered by a robust Al-driven architecture built in-house.

Unlike traditional labs that focus on prescription-led testing, Redcliffe Labs uses Al not just to detect, but to predict and prevent. The journey starts right at test discovery. Faced with a catalog of over 3,000 tests, most users don’t know where to begin. Enter Al-led recommendation tools. By mapping age, location, lifestyle, and chronic illness data, Redcliffe helps users find relevant test packages in seconds.

What your blood says about tomorrow