The Heart of Healthcare | A Digital Health Podcast What It Takes To Scale Care With AI | Akido Labs CEO Prashant Samant
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May 11, 2026 Prashant Samant, co-founder and CEO of Akido Labs and EY Entrepreneur of the Year–Greater Los Angeles winner, builds full‑stack care and clinical AI. He describes how AI is embedded in real workflows, training on longitudinal datasets, and operating mobile care pods for the hardest-to-reach patients. Conversation covers scaling care within Medicaid, live learning loops, and why running services matters for adoption.
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Adoption Is The Real Barrier Not Just Model Quality
- Technical capability and operational adoption are different problems; models can be ready before workflows are.
- Akido iterates in live care settings to tighten tech-workflow connections and learn from what fails in practice.
We Built Our Own Scribe To Own The Conversation Data
- Akido built its own conversation capture and scribing to keep that dialogue as proprietary training data.
- Prashant says capturing the flow between care team and patient was strategic, not just cost-driven, to train better investigation models.
Start With The Hardest Patients To Prove The Model
- Start building AI care models with the hardest-to-serve populations because solving there ensures inclusivity and real impact.
- Akido focused on people experiencing homelessness to force trust, mobility, and follow-up challenges into design choices.