Telehealth platform for at-home opioid use disorder treatment
Ophelia delivers remote medication-assisted treatment for opioid use disorder, targeting access and destigmatization. The tech stack reveals a customer-experience-focused operation: Customer.io and Rudderstack for engagement tracking, GCP/BigQuery/dbt for data infrastructure, and React/TypeScript for the telehealth frontend. Hiring velocity is accelerating with 8 roles posted in 30 days, but the split is heavily clinical (8 healthcare roles) over engineering (2), suggesting a growth phase driven by coordinator scaling and community partnerships rather than product velocity.
Ophelia operates a clinical telehealth platform designed to treat opioid use disorder at home through medication and remote supervision. The company was founded in 2020 and is based in New York. Revenue model appears B2B-adjacent: projects include telehealth platform development, B2B integration, new partnership acquisition, and community partner network building — indicating a hybrid direct-to-patient and institutional referral approach. Active initiatives focus on expanding geographic reach, optimizing patient coordinator workflows, building referral networks, and scaling integrations into existing healthcare infrastructure. Current challenges center on regulatory (SOC 2 certification), clinical (gap in medication access), and operational (profitability, removing treatment barriers).
Customer.io, Rudderstack, GCP, BigQuery, dbt, Lightdash, TypeScript, React, Firestore, Firebase, Salesforce, and HubSpot. The stack emphasizes customer engagement, analytics, and telehealth UX.
New York, New York. The company was founded in 2020 and currently employs 51–200 people.
Ophelia'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.