Practice management and patient engagement platform for aesthetics clinics
Prospyr Medical is a HIPAA-compliant practice management platform built specifically for aesthetic medicine providers. The tech stack—TypeScript, React, GraphQL, Postgres, Hasura, AWS—supports a modern, API-first architecture. Current project focus reveals a company mid-pivot: actively building a new product vertical (likely AI-powered patient matching or symptom tracking), running cohort experiments to embed intelligence into patient data review, and scaling a go-to-market function alongside substantial customer migration work. The hiring mix skews heavily toward senior and staff-level talent across product, sales, and customer success, suggesting either founder-heavy execution or deliberate focus on quality-over-headcount growth.
Prospyr Medical provides end-to-end practice management software for aesthetic clinics, consolidating scheduling, charting, marketing, and patient communication into a single HIPAA-compliant platform. Founded in 2021 and headquartered in Austin, Texas, the company operates as a lean, early-stage team (2–10 employees) and is currently navigating fragmentation in the aesthetic practice stack—competing against point solutions for payments, EMRs, and point-of-sale systems. Active projects indicate expansion into AI-assisted clinical workflows and a new product vertical, alongside substantial effort on customer data transitions and migration tooling, suggesting either a technical moat around data portability or a strategic need to accelerate onboarding from incumbent systems.
TypeScript, React, PostgreSQL, GraphQL, Hasura, Pulumi, and AWS. The company also integrates Claude for AI features and uses Linear for project management and Cursor for development.
Building a new product vertical (AI-powered features, likely patient matching or symptom tracking), running A/B tests on platform intelligence, redesigning AI-assisted patient data review interfaces, scaling customer education, and executing major migrations from fragmented legacy systems.
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