Every platform shift rewrites the rules for where value gets created, and the current AI transition is no different. Foundation models are advancing faster than most companies can absorb. But abundance changes the game: access to powerful AI matters less than what you’ve built on top of it.
At Madrona, we’ve believed for a long time that the most durable AI companies will be built vertically. The right vertical AI companies earn something general-purpose solutions cannot: deep workflow integration, proprietary data generated through use, and accountability for outcomes in domains where the stakes are too high to tolerate ambiguity. That combination is what turns an AI product into a moat.
Few industries test that thesis more seriously than healthcare. That’s why we’re excited to announce that we are leading Amigo’s $11M Series A alongside Optum Ventures, General Catalyst, and GSV. Amigo is building clinical-grade AI agents for patient-facing care, purpose-built for the realities of modern healthcare delivery, and built from the start around a standard of safety and accountability that healthcare demands.
A tipping point in clinical AI
For years, AI in healthcare moved cautiously, and for good reason. Clinical workflows are complex, data is fragmented and unstandardized, and the margin for error is narrow.
That’s changing. The past 18 months represent a genuine inflection point, not just in what AI can do, but in what the healthcare system is ready to do with it. Patient expectations have shifted. Clinician attitudes have shifted. Regulatory frameworks are moving too, with CMS models like ACCESS signaling a broader institutional embrace of technology-enabled care delivery. And the underlying technical capabilities, including longitudinal reasoning, workflow orchestration, and reliable evaluation infrastructure, have crossed thresholds that matter in practice, not just on benchmarks.
What’s now becoming possible is continuous, personalized, 1:1 clinical support that is economically viable at scale. AI systems that navigate care protocols, identify gaps, and coordinate across a patient’s full journey. By 2030, the world will face a shortage of 11 million health workers. Clinical agents offer a real path to closing that gap, but only if they can deliver care as safely as human clinicians. The companies that clear that bar, and earn the trust of patients, clinicians, and health systems in the process, will be the defining healthcare infrastructure businesses of this decade.
Training agents like doctors
The core insight behind Amigo is that clinical AI fails when it’s deployed like software and succeeds when it’s trained like a clinician. No doctor sees a patient on their first day of medical school. Amigo applies the same logic to AI agents through what they call a digital residency.
Before any Amigo agent interacts with a real patient, it trains across millions of simulated scenarios modeled on each organization’s unique patient population and protocols. Those simulations deliberately overindex on adversarial patients and edge cases. Agents continue to improve across dimensions like accuracy, empathy, and harm prevention until they reach a 100% safety pass rate. In the last six months alone, Amigo agents have completed over three million patient encounters with zero safety incidents.
That safety infrastructure is built on top of proprietary AI architecture that mirrors how clinicians actually think, from recalling a patient’s history to knowing when a case requires escalation. And because Amigo agents share unified patient context in real time, they can work together like a care team, enabling healthcare organizations to automate complex, team-based workflows on a single platform rather than stitching together point solutions that require ongoing provider oversight.
The result is clinical AI that adapts to how each organization works, earning trust through demonstrated safety rather than assumed capability. Today, Amigo powers clinical AI for organizations including Eucalyptus, Diverge Health, and The Care Clinic.
Amigo’s core vision is to enable the highest quality medical care and patient experience, unlocking meaningful time savings and care capacity for clinicians. Clinical agents sit at the center of that vision, but the same modular platform supports the full patient journey — from pre-visit intake and coordination to post-visit follow-up and documentation. This allows organizations to introduce AI at different layers of the care journey and expand over time, all within a unified system built on the same safety and training foundation.
A founding team built for the challenge
Ali and John are a highly complementary pair, and their backgrounds reflect exactly what this problem requires.
Ali brings sharp product instinct and customer empathy, with a rare ability to translate the operational complexity of real-world care delivery into problems that are actually solvable. He has spent time with clinicians and administrators at the ground level, understanding where workflows break down and what it takes to earn trust in environments where trust is earned slowly.
John brings the technical rigor to match. His time at Databricks shaped a systems-level discipline around reliability and correctness in production environments where failure has real consequences, exactly the kind of thinking clinical AI infrastructure requires.
Together, they’ve built Amigo from first principles, immersing themselves in the operational realities of care delivery rather than layering AI onto surface-level workflows. They’ve been equally deliberate about building responsibly, prioritizing correctness, security, governance, and collaboration with research and oversight organizations. Auditability, evaluation, and safety were designed into the architecture from day one.
We couldn’t be more excited to partner with Ali, John, and the entire Amigo team. The infrastructure for a new model of patient-facing care, one that delivers 1:1, data-driven support at scale and expands access beyond the limits of human bandwidth, is being built right now. We believe Amigo is building it.
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