Conceivable

The World's First Automation-Assisted IVF Lab [1]

Where it wins

• Precision Robotics & Physical AI: AURA uses advanced optics and proprietary software to support embryologists with consistency manual workflows struggle to sustain [1].
• Cost Reduction via Efficiency: AURA aims to cut the average number of cycles per baby in half, effectively halving the cost per baby, which is currently more than a year's income for many [1].
• Scale & Accessibility: Automation allows a skilled team to deliver many times the cycles they could manually, addressing the gap between 750,000 current annual IVF births and the estimated 12M demand [1].
• Data Flywheel: Every cycle generates granular, standardized process data that compounds, training models to ensure continuous product improvements [1].

Credibility: Conceivable's technology is being proven in an IRB-approved study, with over 30 live births and 60+ pregnancies achieved to date [1].

• Physical AI for Reproductive Medicine: Applying automation and robotics to the IVF lab workflow to improve outcomes and scale [1].
• Automation-Assisted Lab: AURA's six integrated workstations span the full IVF lab workflow, combining sperm and egg to produce an embryo with machine precision [1].
• Data-Driven Improvements: Using the data flywheel from each cycle to train models and continuously improve the technology and success rates [1].
• Scalable Expertise: Enabling skilled embryologists to handle many times the volume of cycles manually, extending expert care to more patients [1].

• Traditional IVF Labs: Rely on manual workflows, leading to higher costs and lower consistency [1].
• Other IVF Automation Startups: Competing for market share in the emerging physical AI for IVF space [1].
• Fertility Tech Companies: Offering digital tools or diagnostics but not full lab automation [1].
• Differentiators: Conceivable's AURA is the world's first automation-assisted IVF lab, with proven clinical outcomes (30+ live births) and a data flywheel for continuous improvement [1].
• Threats: Regulatory hurdles, high initial investment costs for clinics, and potential resistance from traditional embryologists [1].

• High Cost of IVF: A single IVF cycle costs more than a year's income for many, making it inaccessible [1].
• Low Success Rates: Many cycles are required to achieve a baby, increasing cost and emotional strain [1].
• Manual Workflow Inconsistency: Embryologists struggle to maintain precision and consistency across 200+ steps per cycle [1].
• Limited Lab Capacity: Global demand for IVF is rising faster than labs can meet it manually [1].
• Lack of Standardized Data: Conventional labs cannot produce the granular data needed for continuous improvement [1].

Conceivable's wedge is clear: use physical AI to solve the cost and scalability crisis in IVF. The main risk is regulatory and clinical adoption; proving efficacy at scale is critical. The opportunity lies in becoming the standard for IVF labs globally. The next signal to watch is the expansion of IRB-approved studies and partnerships with major fertility networks.

Expand marketing to highlight the cost savings per baby to attract healthcare payers. Develop a clear pricing model for AURA to facilitate clinic adoption. Pursue partnerships with fertility insurance providers to integrate AURA into coverage plans. Enhance the data flywheel by publishing more clinical outcomes to build trust.