AI-powered clinical documentation auditing for healthcare compliance
Brellium automates compliance review of clinical notes against payer requirements using LLMs (LangChain, LlamaIndex) integrated into a TypeScript/React/Next.js frontend backed by AWS and Python. The company is actively scaling AI workflows for behavioral health specialties while hiring across engineering and healthcare teams—a signal of both product expansion and the operational complexity of deploying clinical AI in regulated environments where documentation gaps directly impact revenue and legal exposure.
Brellium provides AI-driven clinical documentation auditing to healthcare providers and clinics. The platform automatically reviews patient visit notes against clinical standards and payer requirements, flagging compliance risks and documentation errors before submission. Founded in 2021 and based in New York, the company operates with 51–200 employees and primarily serves U.S. healthcare organizations. The product addresses a structural pain point: clinical teams lack the time, staffing, and tools to manually audit every note for compliance, creating exposure to denied claims and regulatory risk. Brellium's platform surfaces these issues proactively, allowing teams to remediate errors before they reach payers.
Brellium integrates modern LLMs via LangChain and LlamaIndex, deployed on AWS infrastructure. The company is actively expanding LLM integration into behavioral health workflows.
Brellium is actively hiring in the United States and Canada, with headquarters in New York, NY.
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