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Today, every day a drug launch is delayed can cost up to $800,000 in lost revenue. Yet clinical trial decisions are still made through a slow and opaque process — teams rely on spreadsheets, iterate for weeks with CROs, and ultimately commit based on just one or two scenarios. The problem is not just speed. It’s that teams cannot explore enough options before making multi-million decisions. We built Axion to fix this.
Axion introduces a new decision layer for clinical trials. It allows teams to simulate, compare, and refine multiple trial strategies in real time — before committing. Instead of testing a handful of options over weeks, teams can explore a broad range of scenarios instantly, understand trade-offs across cost, time, and success probability, and make informed decisions with full visibility. The result is simple: faster planning, better decisions, and fewer costly delays. We start with a pilot on a real trial — so teams can evaluate impact directly, with no risk.
Lovable, Chat Gpt, Claude
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