SAVA AI is an intelligent trial-matching platform that connects patients to the right clinical trials in seconds rather than weeks. Built by EverythingALS, the system combines human insight with advanced large-language-model (LLM) technology developed in partnership with Amazon Web Services. It interprets a person’s natural questions such as “Are there any ALS trials recruiting in Texas?” and delivers personalized, plain-language results drawn from verified, real-time sources like ClinicalTrials.gov.
Unlike generic chatbots that often hallucinate, SAVA AI’s engine is trained on curated biomedical data and clinical-trial dictionaries, then continuously refined through feedback from patients, clinicians and researchers. This iterative learning process has achieved a 92% accuracy rate in identifying trials that match a user’s eligibility criteria, ensuring trustworthy, bias-free results at scale.
Today, SAVA AI partners with more than 21 pharmaceutical and digital-health companies, providing data-driven insights that help sponsors refine trial criteria, understand recruitment barriers and design studies grounded in real patient needs. By integrating live feedback and analytics from its citizen-research community, SAVA AI not only accelerates enrollment but also reduces screen-failure rates and time to activation.
Beyond ALS, the platform will become available for other diseases, building a unified bridge between citizens, investigators and sponsors. Its scalable foundation allows rapid adaptation across diseases, bringing consistency, transparency and inclusivity to the trial-matching process.
By combining empathy, verified data and AI precision, SAVA AI is more than an algorithm; it is a trusted guide that empowers people with clear, timely information and lowers the cost of discovery. By bringing patients, data and science into one continuous conversation, SAVA AI is redefining what “trial-ready” means and transforming the search for hope into an informed, readily accessible journey.
Indu Navar is founder and CEO of EverythingALS, a patient-focused nonprofit bringing technological innovations and data science to support efforts — from care to cure — for people with ALS.
