Saama

Saama provides artificial intelligence and advanced analytics solutions focused on clinical development and commercialization for life sciences companies. The company operates an in-house AI research lab and has developed over a decade of proprietary AI/ML models specifically trained for pharmaceutical and medical device clinical trials.

The platform offers SaaS-based products including Data Hub for data discovery, Smart Data Quality for automated data validation, Patient Insights for clinical data review, and Operational Insights for trial monitoring. The company's AI-powered document generator uses generative AI to automate clinical content drafting. Saama reports quantifiable improvements including 35% reduction in time to data discovery and 20,000+ hours saved in manual data quality work.

The company has supported clinical trials across 20+ therapeutic areas and maintains an AI research team with work published in over 20 publications globally, with 2+ patents secured. Saama positions itself as having a first-mover advantage with production-ready AI models while competitors are still in early research phases.

Choose Saama if you're a pharmaceutical or biotech company seeking to reduce clinical trial timelines through AI automation of data management processes. The company's strength lies in having production-ready AI models rather than experimental pilots, supported by a decade of life sciences-specific model training.

Expect a SaaS platform approach with modular products that can be implemented individually or as an integrated suite. The company emphasizes out-of-the-box AI capabilities that don't require extensive model training or customization before deployment.

Saama specializes exclusively in the life sciences segment of healthcare, focusing on pharmaceutical and medical device clinical development. The platform addresses healthcare-specific challenges in clinical trial data management, regulatory compliance documentation, and patient safety monitoring across therapeutic areas.

The company's healthcare focus is demonstrated through purpose-built AI models trained on clinical trial data, understanding of FDA submission requirements, and experience supporting trials across oncology, cardiology, neurology, and other therapeutic areas. Their solutions address healthcare industry pain points including data quality bottlenecks, patient recruitment efficiency, and accelerating time-to-market for new therapies.

Mid-to-large pharmaceutical companies, contract research organizations (CROs), and biotechnology firms running Phase II-IV clinical trials with complex data management needs. Organizations seeking to accelerate trial timelines through AI-driven automation of data quality, patient monitoring, and operational analytics processes.