We deploy healthcare AI with real doctors, real patients, at India's primary care level.
UPI didn't invent payments. Banks had built the technology years before. But payments didn't become universal until someone walked into every shop in India and said — “Let me show you how this works.”
That's exactly where healthcare AI is today.
The technology exists. AI models for screening, diagnosis, monitoring — they're built, funded, and published. But the doctor who treats 500 patients a month in a town you can't find on Google Maps? She's never seen any of them.
Not because she doesn't want AI. Because nobody ever took it to her.
AI LaunchPad is that bridge. We take your AI model from a demo screen to a doctor's clinic — deployed, adopted, trusted, and validated.
“The world doesn't need more AI models for health. It needs more doctors using them.”
No one trains frontline doctors on AI in their language. No one deploys AI tools inside government health centre workflows. No one stays to ensure doctors actually use it after Day 1. No one collects validated evidence from the field.
AI companies build. But building isn't the hard part anymore. Deployment is. Adoption is. Sustained usage is. Trust is.
That's the gap. AI LaunchPad fills it.
AI LaunchPad is a ground-level deployment, validation, and adoption platform for healthcare AI models. We take your AI tool and deploy it with trained Community Health Workers at government primary health centres across India.
One deployment. Thousands of proof points.
You've built a world-class AI model. But have you put it in the hands of a doctor who treats 500 patients a month in a place you've never been?
AI LaunchPad does that.
Every health-tech pitch deck claims "massive addressable market" and "scalable across India."
AI LaunchPad is where those claims get tested.
Every health AI grant you fund — from screening tools to clinical decision support to community health platforms — needs ground-level execution to create impact.
AI LaunchPad is that execution layer.
We study your AI model — what it does, who it's for, what data it needs. We map it to the right districts based on disease burden, health worker readiness, and infrastructure.
We create the training protocol, translate materials into local languages, configure your tool for low-connectivity environments, and secure official government approval from the district health office.
In-person training at the district level. 50–100 doctors per session learn to use your AI tool with real patients, in their language, in their workflow. Live demonstrations. Hands-on practice. Not a webinar — a transformation.
Post-training engagement, peer accountability, weekly monitoring, and real-time support. We don't just train and leave. We stay until usage becomes habit.
We collect, verify, and compile it — adoption rates, AI accuracy in the field, doctor feedback, patient outcomes. Clean, verified, publication-ready evidence.
You receive a complete deployment report — field data, doctor feedback, validated evidence, and a scaling roadmap. Ready for your investors, your board, your next market.
From BODH benchmarking to SAHI-ready evidence. Everything an AI company needs to go from lab to last mile.
Regulatory-grade protocol — target population, endpoints, data framework, ethics clearance, failure-mode reporting. The clinical trial protocol equivalent for AI.
Pre-deployment assessment against Bureau of Digital Health criteria. Baseline accuracy, safety validation, model readiness — before a single patient is touched.
Post-deployment evidence mapped to Safe AI for Health India certification. Field accuracy, demographic coverage, edge cases — the dossier regulators will require.
AI integrated into CHO patient flows — OPD screening, NCD risk scoring, ANC check-ups. Not an app download. A workflow transformation.
Orientation → Tool Training → Protocol Training → Monthly Refresher. In-person, local language. Government-recognisable certification.
Investor-ready data packages, CMHO endorsement letters, marketing assets, and multi-state scaling roadmaps for every deployment.
Trust is built in a 10×10 clinic room — when a doctor looks at your AI's result and says: “Yes. This is right.”
That moment is everything.
We create that moment. At scale.
Government relationships established, CHO networks mapped, district health offices engaged.
Whether you're building AI, funding AI, or deploying AI in healthcare — the conversation starts here. The model is proven. The team is ready. The only question is scale.