AI-powered behavioral health platform for autism care teams
Frontera operates a HIPAA-compliant platform for behavioral health clinicians—psychologists, ABA therapists, care coordinators—built on React + Node.js + Python with AWS infrastructure, Kubernetes orchestration, and emerging ML pipelines (Temporal, Apache Airflow, RAG). The hiring velocity is accelerating on a mix of customer success (scaling retention), engineering (model inference and video processing), and sales—suggesting a shift from product-market fit to GTM operations; internal pain points cluster around pipeline integrity, attribution accuracy, and manual reconciliation, all addressable through the AI + ML infrastructure currently under development.
Frontera builds AI tools for behavioral health teams serving children with autism and related needs. The platform connects clinicians, technologists, and autism specialists to streamline care delivery and expand access to high-quality services, particularly in underserved regions. Founded in 2023 and based in Denver with 201–500 employees, the company is hiring across customer success, engineering, and sales in the US and Colombia. Core operational focus includes evidence-based care workflows, HIPAA compliance, and real-time clinical reporting.
React, React Native, Node.js, Python, AWS, Kubernetes, Docker, GraphQL, Django, Apache Airflow, and Temporal for orchestration. CRM: Salesforce and HubSpot. Customer support: Zendesk and Freshdesk.
Yes. Two engineering roles are active (senior-level), focused on AI/ML training pipelines and model inference APIs. The company is also hiring customer success and sales roles.
Denver, Colorado. The company hires in the United States and Colombia.
Frontera'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.