An AI clinical insights platform that reviews 100% of the patient record, surfaces likely diagnoses, and drafts the note before the physician walks in.
Formerly HealthTensor · Founded 2017 · Backed by Oak HC/FT & Cedars-Sinai
Regard's wordmark — the co-pilot for physicians, photographed against studio white. New York, NY.
What Regard Does
Modern medicine has a paradox at its center. The electronic health record was supposed to make care easier, yet it buried each patient under an average of roughly 50,000 data points - lab trends, prior notes, imaging results, medication histories, vitals stretching back years. According to the World Economic Forum, physicians typically use less than 3% of the data available to them. Not because they are careless, but because there is never enough time to read it all.
Regard, a healthcare AI company headquartered in New York, was built to close that gap. Its clinical insights platform reviews 100% of a patient's chart, applies proprietary diagnostic algorithms, and surfaces the conditions that the data already supports - before a physician sees the patient. The result is a near-complete draft note with recommended diagnoses, ready for the clinician to review, confirm, or reject.
The company frames itself deliberately as a co-pilot rather than an autopilot. "Regard is augmenting patient care by analyzing overwhelming mountains of clinical data and providing clinicians with potential diagnoses," says co-founder and CEO Eli Ben-Joseph. The physician remains the decision-maker. Regard simply makes sure nothing important is lost in the noise.
Source: World Economic Forum estimate of clinical data utilization; Regard reviews the full record.
Who Uses It & Why
Regard's customers are health systems - the hospitals and physician groups where thousands of clinicians work under constant time pressure. The platform is used across 150+ hospitals in more than 15 states, spanning academic medical centers and community systems alike.
The problems it addresses are concrete. Missed diagnoses harm patients and expose hospitals to risk. Under-documented conditions turn into clinical documentation queries and payer denials, draining revenue that a hospital had legitimately earned. Physician burnout, driven partly by hours of charting, pushes experienced doctors out of medicine. Regard attacks all three by doing the reading no human has time to do.
Regard is positioned to revolutionize how we think about clinical decision-making support for doctors.
Products & Services
Regard integrates with the EHR, reads the record, and powers a set of connected workflows.
Diagnostic support that reviews the full EHR and drafts near-complete notes with recommended diagnoses before the physician sees the patient.
Captures missed or under-documented diagnoses before they become documentation queries or payer denials.
Identifies hierarchical condition codes to support accurate risk adjustment and appropriate reimbursement.
Surfaces patients eligible for high-value procedures and interventions directly from the clinical data.
The first platform to combine chart data with patient-physician conversations - surfacing insights and drafting a note before the encounter ends.
How It's Different
A crowded field of ambient AI scribes - tools like Abridge and Microsoft's Nuance DAX - listen to the visit and write down what the doctor says. Computer-assisted coding vendors such as 3M and Pieces help translate documentation into billing codes. Regard sits in a different place: instead of transcribing the conversation, it reads everything the physician did not have time to read, then tells them what the data suggests.
That distinction shows up in the outcomes the company points to. In one case cited by Regard, a general physician using the platform identified atrial fibrillation that a cardiologist had previously missed - not because the software is smarter than a specialist, but because it never skims, never tires, and never runs out of time on rounds.
We saw a real need to empower physicians with data for critical analysis to assist in diagnosis.
Business Model & Backing
Regard is a B2B SaaS company. It licenses its clinical insights platform to hospitals and health systems, integrating with their EHR. Its value is tied to measurable outcomes - improved diagnostic accuracy, reduced documentation burden, and captured mid-revenue-cycle income. The company reports having unlocked more than $50 million in earned revenue for its customers, and grew its own revenue roughly 4.5x in 2023.
Investors have followed the adoption. Regard - originally founded as HealthTensor in 2017 by Eli Ben-Joseph, Nate Wilson, and Thomas Moulia out of ideas formed at Stanford - has raised about $81 million in total. Its $61 million Series B, announced in July 2024, was led by Oak HC/FT and valued the company at $350 million.
| Round | Amount | Date | Lead / Notable Investors |
|---|---|---|---|
| Seed | $5M | 2021 | TenOneTen Ventures, Calibrate Ventures, Techstars |
| Series A | $15.3M | 2022 | TenOneTen Ventures, Calibrate Ventures |
| Series B | $61M | Jul 2024 | Oak HC/FT (lead), Cedars-Sinai Health Ventures |
Milestones
Eli Ben-Joseph, Nate Wilson, and Thomas Moulia found the company on ideas formed at Stanford.
Regard launches its clinical insights product and begins surfacing diagnoses in hospitals.
Expands into mid-revenue-cycle and documentation workflows.
Adoption spreads across specialties and health systems.
Oak HC/FT leads a round to expand the platform and invest in LLM research.
Launches a platform combining chart data with patient conversations; reaches 10M clinician-accepted diagnoses across 150+ hospitals.
Where It Fits
Healthcare AI has split into camps: ambient scribes that ease documentation, coding engines that chase reimbursement, and clinical decision support that flags risk. Regard's bet is that these are one problem, not three - all downstream of the same fact that no human can read a full chart in the time a visit allows.
By reading the entire record and feeding a single set of workflows - notes, revenue cycle, coding, and screening - Regard positions itself as connective tissue rather than a point solution. Whether that becomes the dominant model for clinical AI is unsettled. But the metric that matters in health tech is not pilots; it is deployment. With 150+ hospitals live and a strategic investor that is also a customer in Cedars-Sinai, Regard has cleared the bar most health AI never reaches.
Physicians use the platform to make sure that nothing important is missed in the data.
Frequently Asked
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Profile compiled from public sources including regard.com, TechCrunch, Fierce Healthcare, MobiHealthNews, PR Newswire, HIT Consultant, and Crain's New York. Figures are approximate where noted and reflect the most recent public reporting.