About DEOX
Why DEOX exists
The clinical trial model is broken for emerging biotech. We built DEOX to fix it — senior expertise, AI-enabled productivity, and a delivery model that actually works for sponsors.
The problem
The CRO model wasn't built for you
Emerging biotech sponsors get the worst of the traditional CRO model: hyper-fractional FTEs spread across dozens of studies, junior staff running your trial after the contract is signed, cost overruns that drain capital from the science, and operational layers that insulate leadership from your programme. The incentive structure rewards billable hours, not outcomes.
Fewer operational layers
Direct access to senior leadership
No hand-offs to junior layers after contract signature. The people who bid the work deliver the work. Your programme gets consistent, senior attention from start to finish.
Sponsor partnership
Your outcomes, not our margins
Every delivery decision framed from the sponsor's perspective — programme timelines, resource allocation, and risk tolerance aligned with your clinical development strategy.
AI-enabled delivery
Faster drafting, earlier risk detection
Enterprise-grade AI integrated into every workflow — protocol development, regulatory submissions, TMF management, safety reporting. BAA-covered, SOC 2 certified, zero data retention.
Smarter prioritisation
AI that surfaces what matters
Risk signals, compliance gaps, and operational bottlenecks flagged early — not discovered at inspection. AI handles the volume so your team can focus on decisions.
Operating values
What drives every delivery decision
Efficient delivery
Capital is scarce in emerging biotech. Every pound spent on operations should advance the programme. We don't pad teams or extend timelines to hit revenue targets.
Quality as infrastructure
87 SOPs, continuous compliance monitoring, inspection readiness built into daily operations — not bolted on as an afterthought. Quality is the operating system, not an audit exercise.
Innovation in clinical delivery
AI is not a marketing line. It is integrated into document production, regulatory intelligence, risk detection, and trial management — with full human oversight on every output.