Mental health platform connecting independent therapists with insured clients
Grow operates a two-sided marketplace for therapy: a consumer app (iOS, Android, web) and a provider-facing practice management system. The stack reveals a scaled operations business—Fivetran, dbt, Snowflake, and Looker power billing and payor reconciliation, while the pain list (credentialing, claims, payor partnerships) shows that insurance complexity, not therapy delivery, is the engineering constraint. Hiring is heavily skewed toward healthcare operations (48 roles) relative to engineering (14), reflecting a compliance-and-billing-first product strategy rather than a typical tech-first SaaS.
Notable leadership hires: Director GTM Finance
Grow is a mental health platform founded in 2020 that routes clients to independent therapists and handles the operational burden of insurance credentialing, billing, and claims on behalf of providers. The product has facilitated over 15 million therapy sessions and covers 220 million insured lives. The company serves three constituencies: individual therapy clients seeking accessible, fast-access mental health care (median entry in 2 days vs. the U.S. average of 48 days); independent clinicians who use Grow's infrastructure to build and scale private practices without managing insurance or billing; and employers or other payers seeking to offer mental health benefits. The business is operationally complex, sitting between providers, insurers, and clients across multiple regulatory regimes.
Frontend: React, Next.js, iOS/Android (Swift, SwiftUI). Backend: Python, AWS, Kubernetes, EKS. Data: Snowflake, Fivetran, dbt, Looker. Sales/HR: Greenhouse, Ashby, HubSpot, LinkedIn Recruiter. Comms: Braze, Iterable, Customer.io, Aircall.
Over 15 million sessions have started on the platform since launch. The platform covers 220 million insured lives and claims 80%+ of clients report improvement after starting care.
Grow Therapy'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.