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The archive · Health & Care · Product decision · 2026

Hubble bets AI agents, not EHR APIs, unlock medical records — YC S26, PH Launch of the Day

Seattle duo (ex-Grow, ex-One Medical) lets patients verify once; AI agents fetch records across providers — paying customers in 3 weeks, PH Launch of the Day.

Hubble

The betPatient-mediated access plus AI browser and voice agents can become the standard retrieval layer for records EHR APIs can't reach — the bet behind AI healthcare.Live

What the business is

Hubble is healthcare data infrastructure: a patient verifies their identity once, and Hubble assembles their medical records from across providers and returns them through a single API for AI agents and applications — using browser and voice agents where standard APIs fall short.

How it started

Prabha Dublish and Aaron Leon founded Hubble in Seattle in 2026 after building AI agents at Grow Therapy and Amazon One Medical, where they saw millions of patients use agent-driven care. Their premise: every AI product that needs a patient's records hits the same wall — records scattered across EHRs, payors and portals, with most APIs returning only the portal subset. They positioned Hubble as 'the AI Plaid for healthcare' and joined YC's Summer 2026 batch.

What happened

The team launched on Product Hunt on 2026-08-18 with the tagline 'Retrieve medical records other APIs can't,' taking Launch of the Day with more than 180 upvotes; developers were simultaneously impressed by the browser/voice-agent fallbacks and skeptical about caller-ID tricks and scraping. Per its YC profile, Hubble signed its first paying customers within three weeks of launching, on usage-based pricing, with customers in legal, life-insurance underwriting, clinical trials and digital health.

No ending yet — it is still running.

Background

Hubble is Seattle-based healthcare data infrastructure founded in 2026 by Prabha Dublish and Aaron Leon, the team behind AI agents at Grow Therapy and Amazon One Medical. Its product is a single API that returns a patient's complete medical records: the patient verifies their identity once, and Hubble assembles records from every provider they have seen.

The bet is that patient-mediated access plus AI browser and voice agents can retrieve what EHR APIs leave behind — portal subsets, fax lines, phone trees and forgotten logins — making Hubble the 'AI Plaid for healthcare' retrieval layer for legal, underwriting, clinical trials and digital-health products.

Hubble launched on Product Hunt on 2026-08-18 with 'Retrieve medical records other APIs can't' and took Launch of the Day with over 180 upvotes. Per its YC profile, it signed its first paying customers within three weeks of launching on usage-based pricing, and it remains a two-person company in YC's Summer 2026 batch.

What has to be true

  • It is a genuinely contrarian product bet: instead of cleaner APIs, Hubble bets on agents that call hospitals and work portals — a strategy most healthcare startups avoid for compliance fear.
  • Traction is concrete and dated: Product Hunt Launch of the Day on 2026-08-18, 180+ upvotes, and first paying customers within three weeks.
  • The founders bring first-hand credibility: they built the AI agents at Grow Therapy and Amazon One Medical, so the pain is documented from inside the industry.
  • It shows a repeatable wedge: start from a legal right (patient access) and turn a fragmented legacy market into an API product.

What can be applied

When the incumbents' APIs are incomplete, the wedge is finishing what they leave behind: patient-mediated access plus AI agents turns a compliance problem into a data moat and an API product.

Aftermath

As of 2026-09-02, Hubble is a two-person active company in YC's Summer 2026 batch, based in Seattle, with its product live on usage-based pricing and first paying customers across legal, life-insurance underwriting, clinical trials and digital health. No funding amount beyond the YC standard deal has been disclosed in cited sources; the founders' stated focus is converting launch attention into integrations and developer trust.

Sources

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