They have a high-energy startup vibe with experienced healthtech founders tackling enterprise benefits software. Based in London, England, Euphoric operates in the human resources technology space. The company sits in the 11-50 employee size band as an early-stage team. Established as a spin-out from Peppy Health, they focus on AI-driven benefits analytics and employee engagement platforms.
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About
Euphoric is a global benefits administration platform with employer and employee interfaces. They simplify administration, spark engagement, and delight people.
Mission-driven work improving healthcare and benefits accessHands-on AI and machine learning architecture challengesLeadership with proven domain success at Peppy
Why leave
Ambiguity typical of early-stage startup environmentsNarrow specialization across an initially small engineering teamFast-paced delivery pressure to ship early product modules
Company Pulse
Headcount
-19%past year
In the News
A lot of the founding team at Euphoric came directly from Peppy, where we collectively spent years delivering support for menopause, endometriosis, PCOS and other health issues that had a very real …linkedin.com · Sep 17, 2026
Quick Take
Strengths
Experienced leadershipFounding team spun out directly from health benefits platform Peppy.
Security complianceHolds ISO27001 certification for global enterprise benefits administration.
Watch out
Traffic contractionMonthly website visits dropped by 34.59%.
Note
Boutique sizeOperates within an early 11-50 employee bracket.
Things to consider
Early-stage volatility — Founded in 2025, the business is in its foundational phases where product roadmaps and roles shift rapidly.
Web traffic drop — Recent monthly web traffic showed a decline of 34.59%, indicating potential fluctuations in top-of-funnel reach.
Leadership
EH
Evan HarrisCo-founder
ML
Max LandryCo-founder
What They Build
Euphoric builds an AI-native global benefits administration system comprising an employer analytics platform and an employee navigator application. Engineering focuses on aggregating fragmented benefits data, secure multi-tenant architecture, and applied machine learning models. The team utilizes modern web technologies and machine learning toolkits to automate policy matching and reporting.