Millions of pets suffer silently from chronic health conditions, yet most pet parents donât realize it until itâs too late.
This is because:
Traditional veterinary diagnostics are reactive, invasive, and often inconclusive, making it difficult to detect issues early.
Pet wellness products today are one-size-fits-all, ignoring the unique biology of each animal and leaving owners to guess whatâs right.
This weekâs company is a science-first pet health startup that combines AI, metabolomics, and fur-based diagnostics to personalize care.
Everfur delivers at-home fur-based diagnostics and personalized supplement plans for pets, using AI and metabolomics
Fur-Based Diagnostics: Send-in test kits using dog hair instead of invasive collection methods.
Personalized Supplement Plans: Tailored nutritional support formulated based on each petâs unique biomarker profile.
AI and Metabolomics: Combines machine learning with deep biological analysis to detect risk, monitor progress, and recommends measures for preventative care.
Market Opportunity: The $300B+ global pet market is expected to nearly double in the next five years, with trends like proactive wellness and personalized care opening new product categories.
First-Mover in Precision Pet Health: Everfur is pioneering non-invasive fur diagnostics and combining it with biomarker-driven personalizationâoffering a smarter alternative to outdated, one-size-fits-all pet wellness products.
Roadmap and Revenue Streams: In addition to supplements and potential pet food line, Everfurâs diagnostic data unlocks paths into insurance, drug discovery, and vet partnerships.
Crowded Market, Unproven Differentiation: While Everfurâs use of biomarker data offers true personalization, it must clearly communicate this edge in a supplement space filled with marketing-driven, commodity brands.
Category Creation Challenge: Fur-based diagnostics are unfamiliar to most consumers, requiring significant education and trust-building to drive adoption at scale.
Operational Complexity: Balancing lab logistics, AI infrastructure, and consumer product execution adds layers of risk as the company scales.
Fayzan Chaudhry, CEO: Previously a data scientist at Mount Sinai with a PHD in computational biology.
Akhil Vaid, CTO: A former physician and machine learning researcher, built diagnostic AI at Mount Sinai Hospital.
Native Pet: Backed by Leap Venture Studio, CAVU Consumer Partners, and others.
Embark Vet: Backed by Founder Collective, Slow Ventures, F-Prime Capital, and others.
By combining non-invasive diagnostics, real biomarker data, and 24/7 AI support, Everfur is redefining pet wellness as a personalized, data-driven standard of care, riding the tailwinds of a growing demand for smarter, preventative pet health.