Knowtex Launches the Frontier AI Lab for Healthcare, Bringing Research-Grade Clinical AI to Health Systems to Maximize Intelligence per Patient Encounter
SAN FRANCISCO, Sept. 15, 2026
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Knowtex Launches the Frontier AI Lab for Healthcare, Bringing Research-Grade Clinical AI to Health Systems to Maximize Intelligence per Patient Encounter
PR Newswire
SAN FRANCISCO, Sept. 15, 2026
Recently funded by Jeff Dean (Google DeepMind’s former Chief Scientist), Knowtex is already cash-flow positive with 10x revenue growth in 2026 and 300+ customers including the U.S. Department of Veterans Affairs
SAN FRANCISCO, Sept. 15, 2026 /PRNewswire/ — Knowtex today launched the first frontier AI lab for healthcare, building and evaluating clinical AI against real-world standards of accuracy, auditability, and clinician trust. Its first platform, now deployed across the U.S. Department of Veterans Affairs and 300+ other organizations nationwide, turns every patient encounter into accurate notes, correct codes, orders, and real-time actionable clinical intelligence.
“We call ourselves a frontier AI lab because Knowtex is at the edge of what AI can be trusted to do inside a real clinical workflow: coding an oncology chart correctly, understanding a Veteran’s history across decades of care, giving a physician more of the visit back for the patient,” said Caroline Zhang, CEO and co-founder. “That frontier isn’t being pushed by whoever ships the largest foundation model next. It’s being pushed by whoever is closest to the actual clinical edge case, with the technical depth to act on it. That’s what Knowtex has built.”
Clinicians lose hours daily to documentation, coding, and fragmented manual workflows, and US health care administrative spending costs are approximately $1 trillion annually. The Knowtex platform, developed in the Knowtex lab, removes that burden, producing notes, codes, orders, after-visit summaries, and real-time clinical intelligence from each encounter. Health systems gain productivity, more accurate billing, lower clinician burnout, and better patient care.
The Knowtex lab builds specialty-specific models, anti-hallucination safeguards, and an in-house evaluation science for healthcare AI. Its first benchmark, KnowBench, measures Effort Reduction across clinician administrative tasks; the Knowtex platform currently scores 97.99%.
Knowtex’s founders, Caroline Zhang, CEO, and Jocelyn Kang, CTO, met as freshmen at Stanford studying AI and linguistics. They founded Knowtex in 2022 and spent a combined year in scrubs as medical scribes, embedded in healthcare to learn the work firsthand and develop original models and evaluation science built specifically for healthcare.
Knowtex started in oncology, one of the most complex specialties in outpatient medicine, on the bet that a system built to hold up there would generalize everywhere else. Oncology demands exactness in coding, staging, and longitudinal history that general-purpose AI was not built to deliver. Knowtex’s founders, both AI scientists with deep technical expertise, solved those problems at the model and harness level, and that depth is what lets the platform extend across more than 200 specialties today without losing precision.
“Every model we ship is measured against how a clinician would actually judge the output and not just against a generic benchmark,” said Jocelyn Kang, CTO and co-founder. “That is what a lab does. We built the yardstick before we built the product.”
In October 2025, Knowtex was awarded a $15 million contract to deploy its ambient documentation platform across the VA health system, following a competitive evaluation of more than 150 solutions in VA’s AI Tech Sprint for Ambient Scribe.
Since then, Knowtex has deployed across 10 VISNs and 79 VA Medical Centers in the last 6 months – demonstrating historic speed of AI deployment in enterprise healthcare. More than 7,000 clinicians have saved over 450,000 hours of documentation time, with 88% sustained adoption and an average satisfaction rating of 4.5 out of 5 across more than 5,100 ratings.
The VA published an assessment of the Kansas City evaluation, a 90-day review involving 18 primary care providers. According to the VA’s reporting, all 18 participating clinicians wanted to continue using Ambient Scribe technology after the evaluation period, and most reported saving one to two hours of after-hours work. Patient experience scores at the site also rose nearly three percentage points, to 95.8%, over the same period.
“Ambient Scribe has enhanced my patient visits as I can be more focused on my interaction with the Veteran,” one Kansas City VA provider said. “More time talking to patients, more eye contact, more time to use other resources while patients are talking.”
Knowtex is scaling rapidly, with 10x revenue growth and 100x customer growth since the start of 2026. The venture-backed company is already cash-flow positive.
About Knowtex
Knowtex is the first frontier AI lab for healthcare. The lab builds original clinical models and in-house evaluation science for healthcare AI, and its AI-native clinical platform turns every patient encounter into accurate notes, correct codes, orders, and actionable clinical intelligence for providers. Founded by Stanford AI scientists Caroline Zhang and Jocelyn Kang, who spent time embedded in health systems as medical scribes, Knowtex is EHR-agnostic, specialty-customized, and deeply integrated into clinical workflows. It supports more than 200 specialties and is used by leading federal and community health systems, including the U.S. Department of Veterans Affairs. Knowtex is backed by Y Combinator, HF0, Stanford StartX Med, Texas Medical Center Innovation, Jeff Dean, among others, and has been supported by Amazon Web Services (AWS), the UCSF Rosenman Institute, and MedTech Innovators.
Media Contact:
Michelle Faulkner
Big Swing
617-510-6998
michelle@big-swing.com
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SOURCE Knowtex Inc


