Cardiology's AI Partner

The clinical execution layer for heart failure.

Taal is the continuous AI layer that turns guideline-grade decisions into clinician-reviewable orders, drafted notes, prior auths, and patient outreach, at panel scale, on top of the EHR you already run.

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What we built

Decisions become execution.

Cardiologists already know what should happen. The execution gap is what holds outcomes back: orders not written, follow-ups not booked, prior auths not packaged, patients not called.

Taal runs continuously in the background, reviews the practice's heart failure panel, and surfaces the next set of clinician-reviewable actions: GDMT titrations, device referrals, ATTR-CM workups, post-discharge follow-ups, and prior authorization packets, each one drafted, cited, and ready.

Clinicians approve or modify in a single click. The system handles the execution (the orders, the notes, the outreach, the documentation) and tracks every action against the measures that now define cardiology revenue.

Built for ASM

Every action ties to ASM Cost or Quality.

Under CMS's Ambulatory Specialty Model, cardiology practices are now accountable for total cost of care and outcome quality. Taal is the operational layer that closes the gap, patient by patient, measure by measure.

ASM · Quality

GDMT completeness on the attributed HFrEF panel, post-discharge follow-up within seven days, and structured readmission avoidance.

ASM · Cost

Avoidable hospitalizations prevented, optimized procedure timing, and waste removed from the medication-and-imaging pathway.

ASM · Risk

Risk-adjusted benchmarking against peer cardiology practices, with attribution and exposure modeled at the cardiologist level.

Team

Built by clinicians and operators.

Anshul Parulkar, MD, FACC

Co-Founder · Taal Health

Anshul is a rare clinician-commercial founder: Director of AI at Brown Cardiovascular Institute, cardiac amyloidosis expert, academic cardiologist, former healthcare investment banker, and advisor to digital health, medtech, and life sciences companies on physician adoption, clinical validation, and commercialization. His work focuses on turning AI from passive insight into scalable execution infrastructure for high-value cardiovascular care.

Jay Gopal

Co-Founder · Taal Health

Jay is a multi-time software and health AI founder: CEO of Kyron Medical, MD candidate at Brown's Alpert Medical School, computational neuroscientist by training, technologist behind national health-tech deployments at Stanford Medicine and Kaiser Permanente, and advisor to Fortune 500 enterprises on AI product strategy and clinical deployment. His work focuses on building production-grade infrastructure that turns evidence-based decisions into reliable, patient-level execution at scale.