TrialKey

AI clinical-trial design & prediction

Know the trial before you run it.

TrialKey simulates a clinical trial hundreds of thousands of times before a single patient is enrolled, exploring eligibility, endpoints and protocol design to reduce the risk of execution failure before the trial starts.

+92%

Accuracy of success-probability predictions

570k+

Clinical trials analysed

100k

Simulations run per trial

1,500+

Variables weighed per design

What it does

Four ways to put it to work.

Whether you're scoping a first-in-human study, de-risking a pivotal trial, or benchmarking the competitive landscape, TrialKey turns evidence into decision-ready analysis.

Output 01

Design a new trial

Propose the protocol most likely to hit its primary endpoint.

Report panel showing evidence-supported ranges for designing a new clinical trial
Endpoint choiceEligibilitySite footprint
Output 02

Optimise an existing one

Rank the design changes that move the probability of success.

Report chart showing enrolment real-world evidence range for trial optimisation
Before / after+15.5% upliftCost impact
Output 03

Predict the outcome

Get a probability of success, with its confidence band, before enrolment.

Report chart showing probability of success versus enrollment with the trial of interest highlighted
P(success)Confidence bandModel drivers
Output 04

Benchmark competitors

Compare similar trials, evidence strength, mechanisms, and likely readout pressure.

Quadrant chart showing competitor strategic positioning by similarity and probability of success
Similar trialsEvidence qualityReadout watchlist

How it works

Simulation-based optimisation.

TrialKey generates candidate designs and simulates each against the objective, helping sponsors reduce the risk of execution failure before the trial starts. Each pass tests probability, cost, scale, and operational fit so the accepted redesign is explainable and ready for expert review.

Optimisation loop

live scoring

Baseline

26.8%

Candidate

35.0%

Accepted

42.3%

1

Score the selected design

Start with the current protocol and baseline evidence.

2

Test improved scenarios

Move editable design factors into supported ranges.

3

Accept the strongest redesign

Compare probability, cost, scale, and operational fit.

Probability curvecurrent to accepted

Solutions

Start with the decision you need to make.

The same pathways from our Solutions page: diagnostic support, protocol optimisation, and live execution oversight.

Pathway 1

Asset and Trial Diagnostic

Fast decision support and early budget planning before committing further capital, time, or operational resources.

  • Trial Probability Assessment
  • Protocol Strengths and Weaknesses
  • Early budget planning
  • Short executive memo
Explore pathway
Pathway 2

Protocol Optimisation Programme

Improve trial design and quantify the expected impact on probability, cost, IP position, and delivery risk.

  • Probability Assessment Dashboard
  • Protocol Optimisation Simulation
  • Competitor Landscape
  • Patent and IP Landscape Report
Explore pathway
Pathway 3

Execution Oversight

Give sponsors and partners an independent view of delivery, budget, data, and risk signals during the live trial.

  • Trial Management Dashboard
  • CRO and site performance monitoring
  • Cost and recruitment reforecasting
  • Monthly risk review
Explore pathway

See your own trial, simulated.

Book a working session with our team. Bring an indication or a draft protocol and we'll walk through a live prediction together.