DASI Simulations

About DASI Simulations

DASI Simulations, a biomedical artificial intelligence firm established in 2019, is positioned at the intersection of healthcare technology and cardiovascular medicine. The company focuses on the structural heart market, providing predictive modeling solutions to assist in surgical and procedural planning. Its client base consists of hospitals, interventional cardiologists, and cardiac surgeons who perform procedures like Transcatheter Aortic Valve Replacement (TAVR). The company operates on a Software-as-a-Service (SaaS) model, where hospitals upload patient CT scans to a secure, cloud-based platform. DASI's team of engineers then runs the simulations and provides the results, mitigating the need for extensive training of hospital staff.

The founding of DASI Simulations resulted from the complementary expertise of its co-founders, Teri Sirset (CEO) and Dr. Lakshmi (Prasad) Dasi (CTO). Sirset possesses over two decades of experience in medical device sales and marketing. Her motivation to enter this specific field is deeply personal, stemming from her father's passing after two unsuccessful heart surgeries. Dr. Dasi is a distinguished bioengineer and academic researcher specializing in heart valve engineering and cardiovascular biomechanics, with research affiliations at The Ohio State University and Georgia Institute of Technology. The two met at a trade show in 2018, where Dr. Dasi's academic research and Sirset's business acumen and personal drive found common ground, leading to the company's formation in late 2019.

The core of DASI's offering is a platform that uses AI and computer vision to create a "digital twin" of a patient's heart from their CT scans. This enables clinicians to simulate surgical procedures before they enter the operating room. The company's flagship product, PrecisionTAVI™, is an FDA-cleared software that models the interaction between a specific transcatheter valve and the patient's unique anatomy. This pre-procedural planning tool provides data-driven insights to help select the optimal valve size and placement, aiming to reduce complications and improve patient outcomes. By offering predictive visualization and automated assessments, the platform is designed to streamline the clinical workflow, enhance accuracy, and support a more personalized approach to lifetime management for patients with structural heart disease.