FDA-cleared AI for dental diagnostics and insurance workflows
Overjet applies deep learning to dental imaging and claims processing, with FDA clearance for diagnostic decision support. The stack (Python, Go, C++, GCP/AWS/Azure, Kubernetes, BigQuery, PostgreSQL) and active projects (real-time inference pipelines, distributed radiograph processing, insurance AI platform) reveal a company scaling from point-solution diagnostics toward a broader insurance automation play. Leadership gaps (Director of Engineering, VP-level hiring) and sales-engine focus signal transition from founder-led to operationalized growth.
Notable leadership hires: Director of Engineering
Overjet builds FDA-cleared AI for dental organizations, founded in 2018 by researchers from MIT and Harvard. The core product detects oral pathologies in radiographs with high precision, enabling dentists to standardize diagnosis and patient education. The company is now expanding into dental insurance workflows—claims review, prospecting automation, and decision support for payers. Engineering-heavy (17 active headcount) with distributed teams across the US, UK, India, and Pakistan.
Python, Go, C++, Java on GCP, AWS, and Azure. Data layer: BigQuery, PostgreSQL, MongoDB. Inference: Kubernetes, Terraform, ArgoCD. Analytics: Looker, Tableau, Power BI. CRM and sales: Salesforce, Gong.
Real-time and batch inference pipelines for radiograph analysis, an insurance AI platform for dental claims review, external-facing data products, and ML model observability—all aimed at scaling sales and automating insurance workflows.
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