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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Partners

Johnson & Johnson

Innovation - JLABS

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 & medical staff

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.

KolateAI Use cases

1

Predict best patients & patient clusters (max response, min side effects)

2

Provide predictive comparison of treatment options

3

Provide early view of study direction

4

Enable effective study management leveraging our “Co-pilot” for real-time queries

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