Anatomy apps show you a generic body. We track a specific person over time — and can prove the model is still right about them.
Navigating across physiological tiers from full anatomical hierarchy down to cellular dynamics, verified against real-time patient telemetry.
Zoom smoothly from whole body down to organ, tissue, and microscopic sub-structures.
Dynamic simulation of hemodynamic trajectories through 3,032+ anatomical structures.
Underlying mathematical constants and boundary conditions verified against source literature.
Two organs today. The ambition is a model of one person that stays true to them for as long as they are alive — and can prove it at every step.
Kidney and liver, from whole organ down to the filtration barrier, keyed to published anatomy rather than drawn by hand. Depth first: an atlas that is broad but shallow cannot answer a clinical question.
Live signals in, continuous re-tuning, and an audit trail written as the agent works rather than assembled afterwards. The hard part was never the adaptation — it is being able to show why the adaptation was safe.
Most medicine is still planned against a population average, because that is the only model anyone can defend. We are building the evidence regime that lets a model of one specific person be defensible instead.
Two decades engineering mission-critical AI where errors carry real-world consequences.
Full-time on TelarisBio since September 2026. Previously Technology Program Manager, Enterprise AI at Mercedes-Benz R&D India — 3.5 years.
Currently developing a domain-specialized language model purpose-built for human anatomy, multi-organ pathophysiology, and disease dynamics — providing verified anatomical reasoning rather than probabilistic guesswork.
MS by Research, IIT Madras · Executive Business Administration, IIM Bangalore
Built at the convergence of world-class computational research, institutional clinical partnerships, and deep-tech incubation.
TelarisBio is incubated at Nirmaan, the pre-incubator at the Indian Institute of Technology Madras — idea-stage deep-tech and healthtech, run with the IITM Incubation Cell, with 85+ active startups. Academic supervision: Prof. G. L. Samuel, Mechanical Engineering, IIT Madras.
Nurtured inside India's leading deep-tech and engineering research ecosystem.
Direct connectivity to medical research institutions, bio-computational centers, and hospital site validation.
Commercial IP framework designed for international regulatory compliance, reproducibility, and audited evidence.
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