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Based in New York, New York, Conceivable Life Sciences develops AI-powered automated in vitro fertilization laboratory technology to standardize and streamline reproductive medicine processes. The company's proprietary AURA system utilizes robotics, advanced optics, and machine vision to replace manual laboratory procedures, aiming to improve precision and reduce costs for fertility clinics. The enterprise has deployed its automated technology to its first operational customer, Hope IVF in Mexico City, and is currently conducting a 100-patient pilot study that has already resulted in 18 healthy births from its prototype. Conceivable Life Sciences has secured over $100 million in total funding, including a recent $50 million Series A round backed by investors such as ARTIS Ventures, Atlantic Health Venture Studio, and Muse Capital. The company was founded in 2022 by Alan Murray, Alejandro Chavez-Badiola, and Joshua Abram.
Conceivable Life Sciences has raised $68.0M across 2 funding rounds.
Conceivable Life Sciences has raised $68.0M in total across 2 funding rounds.
Conceivable Life Sciences has raised $68.0M in total across 2 funding rounds.
Conceivable Life Sciences's investors include ACME Capital, Advance Venture Partners, Stuart Peterson, Artis Ventures (AV), Alex Christ, Craft Ventures, Tiffany, Anne Wojcicki, Netalie Nadivi, ACME, Stride, Aike Ho.
Conceivable Life Sciences has raised $68.0M across 2 funding rounds. Most recently, it raised $50.0M Series A in September 2025.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Sep 1, 2025 | $50M Series A | ACME Capital, AVP | Stuart Peterson, ARTIS Ventures, Alex Christ, Advance Venture Partners, Craft Ventures, Tiffany, Anne Wojcicki, Netalie Nadivi, Acme, Stride | Announced |
| Jan 15, 2025 | $18M Series A | — | Aike HO, Atlantic Health Venture Studio, Black Opal Ventures, Cadence Healthcare Ventures, Future Positive Capital, Muse Capital, Scrub Capital, Stride.VC, Time BioVentures | Announced |
# Conceivable Life Sciences: High-Level Overview
Conceivable Life Sciences is a fertility technology company that has developed AURA, the world's first AI-powered automated IVF laboratory system.[1][4] The company addresses a critical gap in reproductive medicine: while approximately 1 in 6 people worldwide face infertility, current demand for IVF far exceeds supply, with true global demand estimated at 12-20 million annual cycles compared to fewer than 1 million babies currently born through IVF each year.[2][4]
The company's core product automates microscopic IVF procedures—traditionally manual, artisanal processes performed by highly skilled embryologists—through proprietary automation, robotics, AI, and advanced optics.[1][2] By standardizing these procedures, Conceivable aims to make fertility treatment more accessible, reduce costs, and improve success rates at scale. The company is currently in active clinical operations, having completed a 100-patient pilot study with positive pregnancy results and 18 healthy babies from earlier prototype testing.[1] Conceivable secured $50 million in Series A funding to support its U.S. commercial launch in 2026, with plans to expand partnerships across fertility networks.[1]
Conceivable was founded by a team of reproductive endocrinologists, engineers, and scientists, with Dr. Alejandro Chavez-Badiola serving as co-founder and Chief Medical Officer.[1] The company emerged from recognizing a fundamental bottleneck in fertility care: IVF labs represent the most critical component of the IVF process but remain largely manual, expensive, and impossible to scale to meet global demand.[2] This insight—that automation could transform a Nobel Prize-winning therapy from "concierge medicine for the rich" into a population health solution—became the company's founding thesis.[1]
The team's background in reproductive medicine combined with engineering expertise positioned them to tackle this problem at the intersection of biology, technology, and clinical practice. Early validation came through prototype testing and the ongoing pilot study, which demonstrated that "robotic precision and AI-driven protocols will outperform traditional manual approaches."[1]
Conceivable operates at the intersection of healthcare automation, AI in medicine, and reproductive health innovation—three converging trends reshaping modern healthcare. The company addresses what the industry calls the "unmet demand problem": experts estimate unmet demand for IVF is 10 times current numbers, yet clinic capacity and cost barriers prevent access.[1]
The timing is critical. As AI and robotics mature, applying these technologies to highly specialized medical procedures becomes feasible. Conceivable's approach—automating the most labor-intensive, skill-dependent step in IVF—represents a broader shift toward using automation to democratize access to advanced medical therapies. The company's success could influence how other specialized medical procedures (pathology, diagnostics, surgery) are reimagined through automation.
Additionally, Conceivable's mission aligns with growing investment in reproductive health equity. The global fertility market faces rising demand, limited clinic capacity, and cost barriers that disproportionately affect lower-income populations. By reducing costs and improving scalability, Conceivable addresses both a commercial opportunity and a healthcare equity imperative.
Conceivable is positioned to become the infrastructure layer for fertility care globally. If clinical validation continues and the U.S. commercial launch succeeds in 2026, the company could establish a new standard for IVF labs—similar to how automation transformed manufacturing or diagnostics.
Key milestones to watch include: expansion of clinical partnerships in the U.S., scaling production of AURA systems, and long-term outcome data demonstrating consistent improvements in success rates and cost reduction. The company's ability to achieve the projected 40-fold increase in IVF capacity—from 500,000 to 20 million annual cycles—depends on adoption by fertility networks and regulatory approval across markets.
The broader implication: Conceivable exemplifies how precision automation and AI can solve healthcare access problems by removing human bottlenecks in specialized procedures. Success here could inspire similar approaches in other areas of medicine where manual expertise limits scalability and accessibility.