Justin Liu.

Here is the detail that tells you everything about Justin Liu: before he wrote a single line of Charta Health's code, he and co-founder Scott Morris spent a year becoming Certified Professional Coders. Not to pad a resume. Not for the certificate. They did it because healthcare billing is a labyrinth that punishes outsiders, and Liu decided the only way to build something real inside it was to stop being an outsider.

That credential - the CPC, earned by professional medical billing specialists - is the same one held by the people Charta Health's platform is designed to assist. It required studying ICD-10, CPT codes, evaluation and management guidelines, and the dense operational reality of revenue cycle management. Most tech founders would have skipped it. Liu treated it as prerequisite.

The problem he found while studying it is staggering in its plainness: hospitals audit roughly 1% of patient charts - and they do it after billing. Everything else goes through unchecked. Missed codes, undocumented procedures, unbilled services. Revenue that should exist, doesn't. Compliance risk that nobody catches. The healthcare system loses hundreds of billions of dollars annually to administrative error, and the fix was never technology - it was always capacity. You can't manually review every chart. There aren't enough coders.

Until now, apparently.

Charta Health's AI platform reviews 100% of charts before a single bill goes out. Every patient encounter. Every procedure. Every piece of documentation. The platform cross-references clinical data with coding standards, flags missed opportunities, catches errors, and surfaces the gap between what was done and what was billed. The result: an average 11% revenue uplift per chart, and 11:1 ROI for health systems that deploy it.

That's not a beta metric from a pilot. Those are numbers from paying customers - the kind signing six-figure contracts at their second meeting with Liu and Morris.

Justin Liu's career before Charta Health reads like a deliberate accumulation of hard problems. He started as a Software Engineer on Google's security team - the kind of role where the cost of getting something wrong is measured in user trust and regulatory consequence. He moved to Bitwage, an early payroll-in-Bitcoin startup, which meant navigating compliance complexity at the intersection of fintech and emerging crypto infrastructure. Then he tried entrepreneurship on his own with Xenia Gifts, a marketplace connecting gift card buyers and sellers.

The throughline isn't a sector - it's the willingness to go somewhere technically uncomfortable and build anyway. That disposition became fully operational when Liu joined Rockset as Head of Growth. Rockset built real-time analytics infrastructure, the kind of unsexy-but-critical backend plumbing that data-heavy applications depend on. It wasn't consumer, wasn't viral. It was sold to engineers and won on technical merit.

In June 2024, OpenAI acquired Rockset - its first-ever product acquisition. Liu had left by then to start Charta Health, but the trajectory was clear: he had been adjacent to OpenAI-caliber technology before most people understood what that meant.

Liu co-founded Charta Health with Scott Morris, his counterpart from Rockset - Morris as engineer and product lead, Liu driving growth and strategy. They are a Berkeley-Stanford pairing, which would be an easy narrative hook if it weren't for the more interesting one: two infrastructure engineers deciding that healthcare's most persistent problem wasn't a software problem. It was a capacity problem. One that software could finally solve.

Medical chart review is one of those processes that sounds straightforward until you understand the scale. A mid-size hospital system might process thousands of patient encounters per day. Each encounter generates clinical documentation - physician notes, procedure records, diagnostic findings - that must be translated into billing codes with exactness. Miss a code, and revenue disappears. Miscoded something, and you're looking at a compliance audit. The industry's historical answer was to sample: hire coders, audit 1% post-billing, catch what you can.

Charta Health's argument is that sampling is a solved problem now. AI can review the full volume. Pre-bill, not post. Every chart, not one in a hundred. The platform integrates with existing EHR systems, runs autonomous chart review, identifies coding gaps, surfaces opportunities for revenue integrity improvement, and delivers actionable intelligence to clinical and revenue cycle teams in real time.

The platform is HIPAA-compliant, SOC 2 certified, and GDPR-compliant - non-negotiables in healthcare that Charta Health built in from the start rather than bolted on later. The architecture runs on AWS infrastructure with ECS, Lambda, Amazon VPC, GuardDuty, WAF, and KMS, reflecting the security posture you'd expect from founders who came from Google Security and enterprise infrastructure.

Charta Health raised $8.1M in March 2025. Four months later, it raised $22M more. The same lead investor, Bain Capital Ventures, doubled down for the Series A. Madrona joined. So did SV Angel, Refract Ventures, and South Park Commons. You don't see that capital conviction on a timeline like this unless the early customer data is undeniable.

Madrona's characterization of the investment was equally pointed: the conviction isn't just in the product metrics, but in the founders' willingness to go all the way into the problem domain. Getting a CPC certification before raising capital is the kind of signal that separates founders who understand healthcare from founders who are visiting it.

What patterns emerge from people who've worked with Justin Liu? Prototype speed. Domain depth. Customer proximity. The anecdote that shows up in investor writeups - building a working prototype before the second customer meeting - isn't a one-off. It's methodology. Liu came up at Rockset in a growth role that required translating deep technical capability into business value, and he carried that translation reflex into Charta Health.

He and Morris spent over a year doing customer discovery before building, interviewing hundreds of healthcare operators - revenue cycle managers, clinical documentation specialists, coding directors, CFOs. Most startups do customer discovery for a few weeks, declare product-market fit, and start building. Liu treated the discovery phase like a residency. You don't build a product for a world you don't understand. You learn the world first.

The result is a founder who can speak in the vocabulary of healthcare operations, not just AI architecture. That combination - CPC credential, engineering fluency, growth chops, and infrastructure background - is genuinely rare. The healthcare AI space is crowded with companies that understand the technology but not the billing system, or understand billing but not how to scale AI. Charta Health is attempting to be the exception on both fronts.

On the Outcomes Rocket podcast (January 2026), Liu described how AI makes chart review faster, cheaper, and scalable across patient populations - not as a replacement for clinical judgment, but as the infrastructure that makes complete review operationally possible for the first time. On the Beyond the Hire podcast (December 2025), he walked through the unconventional path to product-market fit: a year of interviews, hundreds of conversations, a commitment to validating venture-scale opportunity before committing to a product thesis.