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Win more bids.
Run faster trials.
The AI-native operating system for CROs and sponsors. Six engines cover protocol drafting, feasibility, eligibility, endpoint timing, recruitment and research — so your commercial team answers a sponsor in hours and your operations team keeps the trial on schedule.
Illustrative cycle times for a mid-size oncology bid.
Sponsors ask for more. The old process gives less.
Every CRO feels the same squeeze from both sides. ClinicalOS is built at the point where those two pressures meet.
What sponsors expect
Rapid turnarounds
Sponsors want feasibility responses back in days, at full clinical precision.
Defensible feasibility
Estimates have to be backed by data, not by the last study that looked similar.
Compressed timelines
Flawless execution is expected against schedules that keep getting shorter.
Where legacy process breaks
Proposal delays
Manual protocol drafting stalls bid progression by weeks at a time.
Site failures
High site drop rates trace back to design assumptions nobody could test up front.
Margin erosion
Recruitment dry spells trigger the penalties that quietly eat the execution budget.
Three things ClinicalOS protects.
Speed on the way in, precision in the estimate, and the margin you agreed to when you signed.
Speed and efficiency
Automated generative workflows replace manual point solutions, so your team responds to a sponsor within hours rather than weeks.
Precision feasibility
Data viability is checked programmatically against live global health registries, which takes historical guesswork out of the estimate.
Margin security
Operational momentum is monitored continuously, protecting execution budgets from the timeline expansions that trigger penalties.
Six engines that replace weeks of manual work.
Each one targets a specific bottleneck between an incoming RFP and a trial that actually enrols on schedule.
Protocol Architect
Structures compliant, regulatory-ready trial protocols, compressing pitch cycles from weeks to hours.
Benchmark Intelligence
Reviews past trial timelines, regional costs and competitor profiles to build feasibility models that hold up in a bid defence.
Inclusion & Exclusion Matrix
Tests eligibility criteria against real global registries and flags restrictive design before it stalls enrolment.
Predictive Endpoint Model
Forecasts when outcomes should be measured, based on evidence from comparable trials rather than instinct.
Patient Recruitment Engine
Matches patients to open sites from EHR data, ending the enrolment dry spells that trigger penalties.
Deep Research Engine
Synthesises literature, registries and regulatory history into instant domain expertise in a new therapeutic area.
Overhead converts into margin.
Running commercial and clinical operations on one platform means your team spends its hours on the bids worth winning rather than on assembling the paperwork to chase them.
- 50%
- Reduction in proposal timelines
- Zero
- Patient recruitment dry spells
- 3.5×
- Operational efficiency gain
- 24/7
- Active trial oversight
Fits the stack you have. Survives the audit you'll face.
ClinicalOS runs alongside the systems your trials already depend on, and every artefact it produces carries the trail a regulator expects.
Seamless compatibility
Native API data pipelines connect into the CTMS and eTMF ecosystem you already run, so nothing has to be ripped out first.
Uncompromised security
Aligned with HIPAA, GDPR and FDA 21 CFR Part 11, with deployment inside your own environment rather than a vendor cloud.
Validated infrastructure
End-to-end user auditing and data traceability, so every generated artefact can be reconstructed for a regulator.
Looking for the sector view instead?
See how ClinicalOS fits alongside our wider healthcare and clinical research work.
What CRO teams ask before a pilot
Still have questions?
Our team is ready to help — let’s get you set up.