Transform your clinical studies with AI-powered Patient-Targeting

Patient-level Clinical Events Prediction & Targeting to accelerate pharma trials & real-world studies
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Drug Development is broken & outcomes are suboptimal

90%

Failure rate in clinical development

$2B

Cost per drug

Suboptimal 

Drugs that don’t work as well as desired
Why?
No visibility to future clinical events & their patient-specific impacts, driving study failure & also impacting real-world drug worth
Accelerate Drug Trials
Leverage AI-powered predictions to identify optimal patient clusters and speed up trial outcomes with real-time insights.
Real-World Insights
Integrate real-world data into your drug development process to predict clinical outcomes and enhance decision-making.
Optimize Drug Development
Streamline your drug development lifecycle with proactive insights, helping you make informed decisions and reduce time to market.

Drug Development is broken

90% Failure rate in clinical development
$2 Billion cost per drug
10 -15 years time per drug

Why?

No visibility to future study clinical events & their patient-specific impacts, driving study failure

Our Solution

AI-driven Clinical Events Prediction Engine & Co-pilot to transform trials & real-world studies
CLINICAL EVENTS
PREDICTION (patient-level)
Predict patient-level clinical events impacting study, incl drug response, SAE’s/AE’s* & study endpoints
 INTERACTIVE “CO-PILOT” CHAT & DASHBOARDS
Query insights with Interactive “Co-pilot”
Used by study physicians & scientific staff
Used by study physicians & medical staff

Added Revenue + Profitability + Speed-To-Market

Target the best patients & demonstrate clinical differentiation with competing therapies
+25% Revenue
25% revenue growth (worth $100’s of millions for a large drug)
+20% Profitability
By targeting the right patients, i.e. enabling “precision medicine
25% Shorter
Accelerate time-to-market upto 6 months  => $50-300M in added revenue

KolateAI Use cases

Transforms Clinical Studies with Precision Medicine
1
Predict best patients for Enrolling into Study
2
Predict best patients at Point-Of-Care (POC) & for marketing
3
Provide in-silico comparison of treatment options
4
Pro-actively manage study with “Co-pilot”
  • Early view of study direction
  • Real-time insights

Cost Savings + Added Revenue + Profitability

Stop non-working studies early or re-focus working studies by predicting patient-level impacts
Cut Costs Without Compromise
Achieve up to 20% cost savings with streamlined solutions.
Faster Market Entry
Accelerate time-to-market by 20-25%, gaining a competitive edge.
Maximize Profitability
Improve pricing and profitability by 25% with smarter strategies.

Holistic AI Insights Engine for your Entire Drug Development Lifecycle

Plan & Transition
Unique insights for protocol development and trial setup.
Real-Time Insights
Incorporate real-world data and monitor competitor trials, drug approvals, and market shares.
Proactive Chatbot Insights
Custom chatbot providing proactive insights tailored for your program.
Executive Decision Support
Empower pharma executives to make critical decisions and advance drug programs.

Get the Direction of Your Drug Trial

Use cases of Kolate.AI: With our pre-built AI foundation model predictions of upcoming Serious Adverse Events (SAE’s), AE’s, drug response, trial endpoints, working in concert with our Co-pilot, we address the following use cases:
  • Effective trial management with real-time clinical and operational insights
  • Provide early view of trial direction (comparing “treatment” vs “control” arms)
  • Identify best-performing patient clusters (i.e. best drug response with fewest side effects) in advance
  • Predict real-world clinical outcomes (e.g. drug efficacy, side effects, diagnostic risk, etc.) using Real-World data

Speed up drug development

  • With real-time insights, make operational study updates or stop a non-working trial sooner.
  • Plan additional studies based on the trial insights, is a sub-group working better, are there biomarkers that can increase ​drug efficacy or should there be any changes made to the inclusion/exclusion criteria?
  • Understand the drug better compared to competitors. Are there aspects of the drug that can be improved including dose, ​time of administration, and method of administration?
  • Generate additional insights to support your drug submissions. Can you claim higher efficacy and lower side effects, ​parameters that would increase your reimbursement prospects?
  • Plan for future studies, or in the case of adaptive studies, get insights on what additional tweaks you can make in real-time ​to improve study outcomes.

Reduce time and cost of drug development

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Insights queried via our Gen AI Co-pilot

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