Booking, payments and business software marketplace for beauty and wellness
Fresha runs a two-sided marketplace and operating platform for salons, spas and barbers, built on Elixir, Ruby, Go and TypeScript over Kafka, GraphQL Federation and Kubernetes on AWS EKS. Hiring is overwhelmingly sales-led and spread across dozens of countries, with Japan and DACH named as expansion targets, while engineering focuses on a microservices migration, multi-region infrastructure and AI-assisted toil reduction, with Cursor being adopted.
Notable leadership hires: Security Head, Chief Financial Officer, Head of Commercial, Talent Lead, Team Lead
Fresha, founded in 2015 and headquartered in London, provides software for beauty, wellness and self-care businesses alongside a consumer app for discovering and booking services. Businesses use it for appointments, point-of-sale, client management, marketing automation, loyalty, inventory and team scheduling, with integrated payments and financial services. The company reports serving more than 130,000 businesses and 500,000 professionals. It employs 201–500 people and is privately held, with offices including New York.
Fresha uses Elixir, Ruby, Go, Python and TypeScript with Next.js, GraphQL Federation, gRPC, Kafka, PostgreSQL and Redis, running on AWS EKS and Kubernetes with Terraform, Argo Workflows, Datadog and Sentry.
Fresha hires across many markets, including the United Kingdom, United States, Germany, France, Japan, Australia, Canada, Saudi Arabia, Singapore, Poland and South Africa, with sales the dominant function.
Current initiatives include partner onboarding and acquisition in Japan, DACH go-to-market buildout, a microservices migration, multi-region deployment infrastructure, AI-assisted toil reduction and expanded observability.
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Fresha's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.