Patient access platform for rare disease and specialty pharma
Claritas Rx operates a SaaS platform for pharmaceutical brands managing patient access to rare and specialty treatments. The tech stack—AWS, Kubernetes, PostgreSQL, DynamoDB, React, NestJS—reflects a mature, cloud-native architecture built to handle real-world data at scale. Pain-point clustering around data pipeline integrity, multi-source integration, and scaling data storage signals that the core challenge is unifying fragmented healthcare data streams into actionable insights; hiring is concentrated in senior engineering roles (5 of 6 open positions), suggesting they're addressing architectural complexity rather than expanding headcount broadly.
Claritas Rx helps rare disease and specialty pharmaceutical brands address patient access barriers—predicting and resolving obstacles that interrupt treatment initiation and adherence. The platform combines advanced analytics, real-world patient data, and AI-driven intervention logic with embedded CRM capabilities to reduce abandonment and improve refill rates. Founded in 2011 and based in South San Francisco, the company serves mid-market and enterprise pharma brands. Operations span data pipeline development, SaaS platform infrastructure, end-to-end testing automation, and ongoing Ascend 2.0 platform modernization.
AWS (CloudWatch, ECS, Lambda, SQS, EventBridge, CDK, Secrets Manager), Kubernetes, Docker, PostgreSQL, DynamoDB, React, NestJS, TypeScript, and Tailwind CSS.
Core projects include Ascend 2.0 platform implementation, data pipeline development, SaaS operations monitoring, quality assurance strategy, and automated end-to-end testing rollout.
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Claritas Rx'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.