AI platform for digital pathology and precision medicine diagnostics
Proscia builds an AI-driven pathology platform (Concentriq) for enterprise diagnostics and research. The stack reveals a production-grade operation: Kubernetes + Terraform for infrastructure, Datadog + OpenTelemetry for observability, and C++ + Python for core compute. Active adoption of ISO 27001, SOC 2, and HITRUST signals a major compliance push — consistent with pain points around regulatory certification and scaling security operations. Engineering-heavy hiring (6 roles) paired with active projects in data warehousing, real-time APIs, and CI/CD reflects a shift toward cloud-native infrastructure and customer data migration at scale.
Notable leadership hires: Sales Director
Proscia operates a digital pathology platform trusted by pharmaceutical companies and laboratory networks processing millions of diagnoses annually. The product sits at the intersection of AI image analysis and clinical workflows, serving pathologists, researchers, and lab leaders. Company is based in Philadelphia and currently runs a 51–200 person operation. Active projects center on real-world data pipelines, regulatory roadmap development, and platform migration — indicating a focus on both expanding clinical adoption and hardening enterprise infrastructure. Hiring is concentrated in engineering and data roles across US and Ireland.
Proscia uses Kubernetes, Terraform, and Helm for infrastructure; C++ and Python for core logic; GitHub Actions and Datadog for CI/CD and observability; and HL7 for healthcare interoperability. Recent adopts include Claude, ISO 27001, SOC 2, and HITRUST compliance.
Active projects include digital pathology solution implementation, real-time API integrations, data warehouse design, Kubernetes platform orchestration, CI/CD pipelines, and regulatory roadmap development. The company is also migrating legacy storage to cloud and building observability infrastructure.
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