Powering Pharma Innovation with AI

At KolateAI, our cutting-edge technology provides a novel approach to bring precision medicine to drug development. From predictive analytics to real-time insights, we harness the power of AI, machine learning, and big data to streamline pharma clinical studies, accelerate timelines, and deliver better clinical outcomes.
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How Our Technology Works

At the heart of our platform are powerful Therapeutic-Area-specific AI foundation models that ingest and process vast amounts of clinical trial and real-world data.
Here’s how our tech works:
Data Ingestion
Our system pulls data from a variety of sources, including EHRs, clinical trial data, and real-world studies.
AI Processing
Machine learning algorithms analyze the data, detecting patterns, predicting outcomes, and generating actionable insights.
User-Friendly Interface
Insights are presented in an easy-to-understand format, tailored to the specific needs of pharma executives and clinical trial managers.

Explore Our Platform

Validation

KolateAI’s accurate TA-specific AI foundation models have been validated by back-testing against completed clinical studies
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KolateAI Predict
Targeted tool to predict patient-level clinical outcomes
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KolateAI Compare
Targeted tool that enables seamless emulated head-to-head comparison of alternative therapy options
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KolateAI Co-pilot
Enable effective study management leveraging our Co-pilot for real-time queries related to our predictions, study actuals, and study documentation (protocols, patient narratives, etc.)
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Why Now

The intersection of four major industry trends makes this the perfect time to leverage KolateAI
Rising R&D Costs
Clinical Bottlenecks
Advancements in AI/ Data
Adaptive Study Designs

Rising R&D costs

With low-hanging fruit no longer available, R&D costs have been steadily increasing and continue to rise - what used to be $1B to develop a drug is now closer to $2B
graphical user interfaceby Choong Deng Xiang

Clinical Bottlenecks

Massive AI-Driven pre-clinical discovery pipeline bottle-necked at clinical stage. Only 55 new drugs were approved by the FDA in 2023 despite over 26,000 diseases being studied for therapy development.

Advancements in AI/ Data

Seismic advances in ML/Gen AI tech allow superior algorithms with greater predictive and inferential powers. Combining with much more ubiquitous availability of electronic health data.
Statistics on a laptopby Carlos Muza

Adaptive Study Designs

While adaptive study designs have been around for some time, in recent years, we have seen increasing acceptance by the regulators and the industry, and their usage is projected to keep increasing - in turn, allowing more flexibility in implementing precision medicine.

Core Technologies

AI-Powered Predictive Analytics
Real-World Data Integration
Natural Language Processing (NLP)
Cloud-Based Platform

AI-Powered Predictive Analytics

Our AI models analyze vast datasets to predict clinical outcomes, adverse events, and trial endpoints. With advanced machine learning algorithms, we provide pharma executives with actionable insights to guide strategic decision-making.
Key Benefits:
  • Predict patient responses and trial outcomes.
  • Optimize drug protocols in real-time.
  • Identify best-performing patient clusters.
graphical user interfaceby Choong Deng Xiang

Real-World Data Integration

KolateAI integrates real-world data (RWD) from multiple sources, including electronic health records (EHRs), wearable devices, and patient-reported outcomes. This ensures that your trials are grounded in reality and provide the most accurate, up-to-date information for decision-making.
Key Benefits:
  • Gain insights into real-world clinical outcomes.
  • Adapt clinical trials based on real-time RWD.
  • Enhance drug submission documents with comprehensive data.
Statistics on a laptopby Carlos Muza

Natural Language Processing (NLP)

We leverage NLP to process unstructured clinical and medical data from research papers, patient records, and scientific reports. This helps us generate insights that are both rich in detail and contextually relevant to your trials.
Key Benefits:
  • Process large volumes of unstructured data.
  • Gain insights from research papers and clinical notes.
  • Improve trial design and outcomes with detailed, contextual data.

Cloud-Based Platform

Our platform is hosted on the cloud, ensuring fast, secure, and scalable access to data and insights from anywhere in the world. Pharma teams can collaborate in real-time, making quick decisions based on up-to-date trial data.
Key Benefits:
  • Global access to trial data and insights.
  • Fast, secure, and scalable cloud infrastructure.
  • Fast, secure, and scalable cloud infrastructure.

Why KolateAI Technology?

  • Customizable Solutions: Our platform is highly adaptable to the unique needs of each pharmaceutical company. Whether you need bespoke predictive models, real-time data integration, or custom chatbot solutions, KolateAI delivers technology that fits your requirements.
  • Regulatory-Ready Insights: We ensure that the insights we generate are regulatory-compliant, helping you with drug submissions, market approvals, and post-market studies.
  • Continuous Innovation: Our technology evolves with the industry. We stay ahead of the curve by constantly refining our algorithms and incorporating the latest advancements in AI, machine learning, and data science.

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

Use Cases

Speed Up Clinical Trials
With KolateAI’s predictive insights, pharma companies can accelerate trial timelines by making earlier decisions based on real-time data, avoiding unnecessary delays.
Optimize Patient Clusters
By predicting patient outcomes, the AI Insights Engine helps identify the best-performing patient sub-groups, allowing for personalized treatments that reduce side effects and increase efficacy.
Enhance Drug Submissions
Generate additional insights that bolster drug submission documents, making your case for higher efficacy, lower side effects, and overall improved outcomes.

Our customers love us

Game-changer for our clinical trials

“We learnt something new about our drug, that it directly benefited certain metabolic syndrome patients while having making the condition worse in some others, and are able to target the right patients for our upcoming clinical trial”
— Clinical Development Head at a leading biotech

Novel and efficient way to compare alternative therapies

“KolateAI made it simple for us to generate RWE comparing our new drug with prior alternatives with their head-to-head therapy comparison tool”
— HEOR Executive Director at biopharma

FAQs

Who is KolateAI intended for? 
At what stages of the drug development life-cycle should KolateAI be leveraged?
What use cases are addressed by KolateAI?
What kinds of clinical studies are in scope for KolateAI?
What kind of data are KolateAI’s TA-specific foundation models trained on?

Predicting Efficacy

Predicting Total AEs

Predicting Total SAEs

Predicting Types of AEs

Confusion Matrices for Predictions of AE Types

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