The Market Leading SaaS platform automating biostatistical validation and optimising clinical trial designs
TrialKey is an AI agent designed to optimize clinical trials by automating complex tasks, processing large datasets, and generating actionable insights. Leveraging machine learning algorithms such as XGBoost, Random Forests, and other standard models, TrialKey enhances decision-making by optimizing over 1300 variables. The platform accelerates the clinical trial process, boosting efficiency and increasing success rates. By utilizing explainable AI, it provides transparent reasoning behind trial predictions, ensuring confidence in results.
Our Partners
The TrialKey Advantage
- Proprietary Dataset
We've spent over two years curating a unique and extensive dataset, a complex task that required significant effort and expertise, tailored specifically to solve this market problem.
- Trial Analysis
While Clinicaltrials.gov reports outcomes for less than 20% of trials, we've expanded this by incorporating data from press releases and peer-reviewed journal articles. Using a scalable LM approach able to categories success/failure
- Proprietary Feature Set
Our feature set combines both structured and unstructured data, enabling us to answer highly specific questions, such as determining the level of disease progression in motor neuron disease that gives the best chance of clinical success — a task only possible through advanced language models.
- Subject Matter Expertise in Modeling
With deep expertise in data modeling, we've achieved higher accuracy compared to competitors, delivering more reliable insights.
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Core Functions of TrialKey’s AI
Create Optimal Trials Designs
Using your study synopsis or protocol, we leverage AI to design clinical trials with the highest probability of success from the outset.
Optimise Existing Trials
Enhance ongoing trials by adjusting key parameters to minimise risks and reduce timelines.
Predict Outcomes
Accurately forecast trial results using advanced predictive analytics and real-world data.
Benefits of Using TrialKey's AI Agent
- Improved Productivity
Automates data processing, simulation, and benchmarking, allowing teams to focus on higher-value tasks.
- Reduced Costs
Lowers costs by streamlining processes, reducing inefficiencies, and accurately predicting outcomes.
- Informed Decision-Making
Delivers reliable predictions and insights to refine patient inclusion/exclusion criteria, endpoint selection, and site planning.
- Better Stakeholder Experience
Reports are concise, actionable, and designed to improve decision-making for researchers, sponsors, and teams.
- Global Applicability
TrialKey supports clinical trials globally, including drug trials, medical devices, alternative therapies, and novel conditions, across all phases from Phase 1-IV.
- Scalable
The platform's scalable model caters to both small companies running a handful of trials annually and major companies running thousands of trials each year.
Workflow
Define Objectives TrialKey is an AI agent designed to optimize clinical trials by automating complex tasks, processing large datasets, and generating actionable insights. Leveraging machine learning algorithms such as XGBoost, Random Forests, and other standard models, TrialKey enhances decision-making by optimizing over 1300 variables. The platform accelerates the clinical trial process, boosting efficiency and increasing success rates. By utilizing explainable AI, it provides transparent reasoning behind trial predictions, ensuring confidence in results.
- Extract and Process Data
TrialKey pulls data from a vast repository of over 468,000 clinical trials. It employs natural language processing (NLP) techniques to extract and structure relevant variables, such as trial execution factors, patient demographics, and drug characteristics. NLP ensures that unstructured data is transformed into usable formats for further analysis.
- Encode and Index
Once the data is extracted, TrialKey categorizes and encodes it into structured formats, such as trial execution variables (e.g., inclusion criteria, endpoints) and technology-related factors (e.g., dosages, administration methods). The data is then indexed for quick and efficient access, enabling rapid model training and analysis.
- Simulate Trials
TrialKey runs up to 100,000 simulations using advanced machine learning algorithms to evaluate different trial scenarios and configurations. These simulations predict the outcomes of various trial conditions, with predictive accuracy exceeding 92%. By optimizing trial parameters, TrialKey helps minimize risks and ensures more reliable results.
- Predict and Validate
Using models like XGBoost and other standard machine learning algorithms, TrialKey identifies critical factors that influence trial success. The platform leverages explainable AI tools to quantify the impact of each variable and provide clear insights into how different conditions affect outcomes. Statistical validation techniques ensure the reliability and robustness of the predictions, delivering trustworthy results for researchers, sponsors, and clinical teams.
- Deliver Reports
Tailored reports provide actionable insights. Examples include Clinical Trial Design reports, Competitor Analysis, and Recruitment Strategies. These reports are clear and directly address trial goals.
Featured In
Users of TrialKey
Clinical Trial Researchers
Biostatistical validation to simulate trials, and optimise designs.
Trial Sponsors
Accelerate therapy development with TrialKey’s tailored recommendations
Investors
Leverage AI for substantial capital appreciation in the biotech sector
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