As a collective of Machine Learning Engineers, Software Developers and OB/GYN Healthcare Professionals, our role is to use scientific principles, clinical acumen, and technical expertise to proactively care for patients and fetuses during pregnancy, as well as assist with doctor workload, and legal compliance within the OB/GYN space. The goal of the technology products we’re developing is to utilize machine learning to catch abnormalities in fetal ultrasound imagery, help doctors streamline their workloads by generating automated reports, and help with legal compliance to help reduce malpractice cases within the hospitals.
Location: United States, California, San Francisco
Employees: 1-10
Total raised: $20K
Investors 1
| Date | Name | Website |
| 26.10.2023 | Techstars | techstars.... |
Funding Rounds 1
| Date | Series | Amount | Investors |
| 18.09.2023 | Pre-Seed | $20K | - |
Mentions in press and media 3
| Date | Title | Description | Source |
| 21.09.2023 | And the winner of Startup Battlefield at Disrupt 2023 is . .... | Over the last three days, 20 startups participated in the incredibly competitive Startup Battlefield... | techcrunch... |
| 19.09.2023 | BioticsAI wants to improve prenatal ultrasound scans with AI | Meet BioticsAI, a startup that has built an AI-based platform that plugs into an ultrasound machine ... | techcrunch... |
| 06.09.2023 | TechCrunch Disrupt 2023 Startup Battlefield 200: Health tech... | You’re just a couple weeks away from meeting the Startup Battlefield 200 companies in person at Tech... | techcrunch... |