THE CHALLENGE

AI is unlocking faster discovery of more therapies than ever before, but the clinical trial itself remains the bottleneck standing between those discoveries and the patients who need them. TrialSage removes that bottleneck by making trials more efficient, safer, and easier to run in compliance with evolving regulatory expectations like ICH E6(R3).

Clinical trials increasingly run across a patchwork of disconnected systems, and the specialists responsible for keeping them on track and catching safety issues early, including Medical Monitors, are chronically stretched thin. Protocol deviations have nearly tripled over the past decade, and most trials run past their planned timelines.

TrialSage connects directly into a trial's existing systems and continuously watches for the patterns and risks a person might otherwise miss, surfacing them, along with recommended next steps, to the people responsible for the trial. Every recommendation is grounded in real trial data and requires human sign-off before anything happens.

We're starting with Medical Monitors and safety-signal detection, the sharpest edge of this problem, while building toward a platform that makes clinical operations broadly faster, safer, and more compliant, using the same core AI infrastructure across additional roles.

When was the last time you talked to someone with a different political view from yours, and how did it go?

Across Nepal, India, and Sri Lanka, civil society leaders and democracy defenders tell us they are tired of engaging with people outside their political circles and often unsure how to bridge those divides.

Together for Tomorrow is a coaching platform that gives civil society leaders a space to practise difficult political conversations. It draws on decades of research in neuroscience and behavioural science on identity, threat perception, empathy, and social trust.

The platform teaches seven attributes of bridging communication: tone and language, affinity, personal story, curiosity, respect, empathy, and reasoning. Participants move through short lessons and simulated political scenarios, then receive feedback from our custom bridging models on where their communication is building trust and where it could improve.

Selv is a personal health AI designed to help people understand what actually improves their health over time. Today, health information is fragmented across medical records, wearables, lab results, calendars, behavior, and the surrounding environment, while most health tools provide generic recommendations based on only a small part of that picture.

Selv brings these signals together into a longitudinal model of the individual. It looks for patterns in how a person responds to changes in sleep, nutrition, exercise, stress, medication, and other factors, then helps identify the next change most likely to improve their health. Rather than stopping at advice, Selv follows what happens afterwards, learns from the person’s physiological and behavioral response, and continuously updates its recommendations.

The long-term goal is to make healthcare more proactive and individualized by giving people a system that learns with them throughout their lives.

Auxo Health is building the agent-native intelligence system for independent musculoskeletal clinics, giving every administrative employee 10x the manpower across claims, denials, intake, and prior authorization. We are addressing the machine-vs-human arms race in healthcare administration by using AI to handle repetitive complexity while keeping staff in control of consequential decisions. The goal is simple: give physicians and their teams more time to focus on medicine, judgment, and their relationships with patients. Auxo is named after the Greek goddess of growth, reflecting our approach to “Keeping Humanity in the Loop”: technology should expand human capability, not replace the people at the center of care.