
RCE.ai is a medical technology company focused on early heart attack detection using a non-invasive, infrared-based wearable with a proprietary transdermal approach and deep learning. This AI-driven technology analyzes unique optical signatures from the skin in real-time to assess cardiac conditions, aiming to revolutionize cardiac health management in emergency care and remote monitoring. The company is currently conducting clinical studies to optimize its technology for clinical use, noting that it is not yet FDA-approved or available for sale in the US. RCE's technology has received recognition, winning the Scientific Sessions 2023 Health Tech Competition and placing second in the 2024 HRX Pitch Competition. The company's mission is to save lives through early detection of heart injury.

RCE.ai is a medical technology company focused on early heart attack detection using a non-invasive, infrared-based wearable with a proprietary transdermal approach and deep learning. This AI-driven technology analyzes unique optical signatures from the skin in real-time to assess cardiac conditions, aiming to revolutionize cardiac health management in emergency care and remote monitoring. The company is currently conducting clinical studies to optimize its technology for clinical use, noting that it is not yet FDA-approved or available for sale in the US. RCE's technology has received recognition, winning the Scientific Sessions 2023 Health Tech Competition and placing second in the 2024 HRX Pitch Competition. The company's mission is to save lives through early detection of heart injury.
What they do: AI-driven, non-invasive infrared wrist wearable (Infrasensor™) for early detection of myocardial injury
Founded: 2018
Headcount: 53 employees
Funding (disclosed): $5,120,000 total (includes NSF SBIR Phase I and Cedars‑Sinai Accelerator participation)
Regulatory / availability: Device not FDA‑approved and not for sale in the US
Cardiac biomarker monitoring; early myocardial injury/heart‑attack detection; emergency and remote cardiac care.
2018
Medical technology; digital health; wearable diagnostics
$100,000
Selection into Cedars‑Sinai Accelerator provided $100,000 in funding and mentorship
$255,892
NSF SBIR Phase I award