We design and ship LLM-enabled applications that solve real problems for real people — engineered with the same observability rigor as our data platforms. Every model interaction, latency spike, and business outcome is measured in real time on ClickHouse.
Our flagship, MedZyGo, brings AI-native healthcare discovery to tier-2 and tier-3 India — in the user's own language, free of cost.
An AI-native, multilingual healthcare-discovery platform Contemplr designed and engineered for tier-2 and tier-3 India. Describe a health problem in your own language; MedZyGo surfaces the right verified care near you — at no cost to the user.
Tell MedZyGo your symptoms in Kannada, Telugu, Hindi, or English. It interprets the need and instantly shows verified nearby hospitals, diagnostics, labs, blood banks, ambulances, and free health camps — with contact details, working hours, and specialities.
Tell us your health problem in your own language — no medical jargon required.
See verified nearby hospitals, diagnostics, labs, and ambulances that can actually help.
Call, get directions, and show your discount code to save on your bill.
Find hospitals treating your problem, with contact details, hours, and specialities available.
Locate the nearest CT scan, MRI, X-ray, and ultrasound services around you.
Find nearby diagnostic labs and blood banks the moment you need them.
Get contact details for the ambulance providers nearest to your location.
Discover ongoing health camps where treatment is sometimes available free of cost.
Show the code generated on your phone at partner hospitals to save on your bill.
Verified hospitals carry a badge so you know each listing has been checked.
See everything in your native language — Kannada, Telugu, Hindi, or English.
We never charge users. The goal is to help people in need of care, at no cost.
A conversational commerce experience with an AI shopping assistant — and a full observability stack tracking recommendation quality, conversion, and model performance end to end.
Whatever the domain, we build LLM-enabled applications with evaluation, guardrails, and observability designed in from the first sprint — never bolted on after launch.