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Biotics AI Raised $1M Seed to AI Fetal Abnormalities
Pioneering AI-based fetal abnormality screening
โ๏ธ Biotics AI
Biotics AI built an AI platform to revolutionize fetal abnormality screening, having already secured a $1M investment in a $10B market.
๐๐ป Rundown
One-Liner: Biotics AI: Pioneering AI-based fetal abnormality screening since 2021 from their Oakland headquarters.
Based In: Oakland, CA.
Starting Year: 2021.
Industry: Advanced AI solutions for fetal abnormality screening and diagnostics.
Business Model: SaaS
Investment Round: $1M Seed from Techstars Boston, StartMate
Early Traction: not disclosed
Founder Market Fit
Robhy Bustami (LinkedIn: Robhy Bustami): Formerly with IBM.
Salman Khan (LinkedIn: Salman Khan): Formerly at Oracle, shares a college history with Bustami.
Chaskin Saroff (LinkedIn: Chaskin Saroff): Also from IBM.
The founders identified the problem through their expertise in tech and healthcare. They realized that doctors spent a significant amount of time manually conducting fetal abnormality screenings, prompting them to develop a solution to automate this process.
๐คท Problem
Doctors traditionally spend considerable time manually conducting fetal abnormality screenings. BionicsAI's AI platform automates this process, generating reports and extracting information, saving crucial time for physicians and hospitals.
The AI solution integrates with existing ultrasound machines, enhancing screening quality without requiring expensive hardware investments.
๐ง core business model
SaaS/Subscription Model: BionicsAI operates on a subscription-based model, providing distinct tiers of service. They boast a robust 78% customer retention rate coupled with an 11% churn rate.
4 Growth Factors According to Blitzscaling:
Market Size
TAM = $10B (Fetal abnormality screening market)
SAM = Potential expansion to adjacent fields such as gynecology, urology, and neonatology.
SOM = Aiming to capture initial market share within a year with pilot programs and clinical studies in eight institutions.
Gross Margins: Not publicly stated, but an 85% margin is anticipated.
Distribution: The specifics of distribution are not explicitly outlined, with a focus on 1-1 sales for SaaS Onboarding and potential referrals based on product value.
Network Effects: Relies primarily on traditional SaaS word-of-mouth for growth, not heavily dependent on network effects.
2 Growth Limiters According to Blitzscaling:
Lack of Product-Market Fit (PMF): While the solution is attractive to medical professionals, the direct relevance to enterprise companies might not be immediately clear, especially regarding interaction with a codebase.
Operational Scalability: Scaling may yield relatively limited unit economics due to model expenditure. Enhanced customer support and B2B SaaS sales teams will be necessary to align with developer needs.
AI competitive advantage
Model Builders: They possess proprietary technology and machine learning models for fetal abnormality screening.
Scaling AI: More data improves their AI models' proficiency.
Gross Margins: Expected to remain relatively stable.
Unit Economics: Improvement but not exponential, requiring sales and software teams for continuous improvement.
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