Life Whisperer Diagnostics

Life Whisperer Diagnostics

AI-driven image analysis to improve embryo selection in IVF, and to ultimately improve outcomes for couples wanting to have children.

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DateInvestorsAmountRound
investor

€0.0

round
investor

€0.0

round
investor investor

€0.0

round
N/A

AUD1.5m

Grant
Total Funding000k

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Revenues, earnings & profits over time
USD202020212023
Revenues000000000000
EBITDA000000000000
Profit000000000000
EV000000000000
EV / revenue00.0x00.0x00.0x
EV / EBITDA00.0x00.0x00.0x
R&D budget000000000000

Source: Dealroom estimates

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More about Life Whisperer Diagnostics
Made with AI
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Life Whisperer operates in the fertility sector, leveraging advanced artificial intelligence (AI) to improve in vitro fertilization (IVF) success rates. The company serves fertility clinics and their patients by providing a cloud-based AI system that analyzes 2D embryo images to identify the most viable embryos for implantation. This technology is trained on over 20,000 globally sourced embryo images, enabling it to detect features that are often invisible to the human eye. By integrating deep learning and computer vision, Life Whisperer offers a significant improvement over traditional manual methods, leading to better patient outcomes and more informed decisions about embryo development.

Life Whisperer's business model is based on providing affordable, subscription-based access to its AI technology for fertility clinics. Clinics can request unlimited free access for two weeks, with no setup costs or ongoing fees, making it highly accessible. The company generates revenue through subscription fees paid by clinics that choose to continue using the service after the trial period. This model ensures that both clinics and patients benefit from cutting-edge technology without significant financial barriers.

The market for Life Whisperer's services is substantial, given that over 200 million people worldwide live with infertility, yet only a fraction attempt IVF. By improving the success rates of IVF, Life Whisperer aims to make the procedure more appealing and accessible to a broader audience.

Keywords: AI, IVF, embryo selection, fertility, deep learning, computer vision, cloud-based, subscription model, patient outcomes, embryologists.

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