AI platform helping medical device companies identify and capture market opportunities
AcuityMD sells to medical technology companies (400+ customers, 16 of the top 20 in the space) via a sales-led go-to-market motion powered by HubSpot, 6sense, Salesforce, and Gong. The stack reveals a commercial intelligence play: real-world healthcare data (BigQuery) feeds AI-powered insights (dbt, Dagster, Python) surfaced through CRM and revenue intelligence tools. Active hiring skews heavily toward sales (8 roles) and senior/manager positions (17 of 23), indicating they're scaling revenue teams and establishing repeatable GTM, not building new product surfaces.
AcuityMD is an AI platform that helps medical technology companies identify where and how to sell their products faster. The company serves the MedTech commercial teams at device makers across the spectrum—from pre-commercial startups to large enterprises—combining real-world healthcare data with machine learning to surface target markets and sales opportunities. Based in Boston with 201–500 employees, AcuityMD is in a critical scaling phase, with active projects spanning predictive modeling for MedTech sales teams, repeatable go-to-market motions, intelligent notification systems, and product feedback loops. Current challenges center on value realization, user adoption, churn reduction, and data quality from fragmented healthcare sources.
AcuityMD runs HubSpot, Salesforce, and 6sense for sales intelligence; BigQuery and dbt for data transformation; Dagster for orchestration; Hasura and GraphQL for APIs; React, Node.js, and TypeScript for frontend/backend; Kubernetes for container orchestration; and Gong, ZoomInfo, and LinkedIn Sales Navigator for revenue insights.
Core projects include predictive modeling for medical device sales teams, repeatable go-to-market motions, intelligent notification systems, feature and product launches, data products for MedTech modules, deal desk workflows, and container orchestration implementation.
AcuityMD'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.