Kolate AI


KolateAI is dedicated to transforming drug development through AI-powered patient-targeting and clinical events prediction. Their mission is to provide predictive insights to accelerate pharma trials and real-world studies, enabling precision medicine and better outcomes. They leverage advanced AI models, real-world data integration, and natural language processing to optimize clinical trials, reduce costs, and shorten time-to-market. Recognized for innovation, KolateAI collaborates with industry partners and continuously evolves its technology to meet the needs of pharma companies.

Industries

pharmaceutical

Nr. of Employees

small (1-50)


Products

Patient-level outcome prediction tool

A therapeutic-area-specific predictive tool that forecasts individual patient outcomes (efficacy, AEs, SAEs, endpoints) using integrated trial and real-world data.

In-silico treatment comparison tool

An analytical tool that generates emulated head-to-head comparisons of alternative therapies using integrated trial datasets and real-world evidence.

Interactive AI co-pilot for trial management

A conversational AI interface and dashboard suite enabling study teams to query predictions, review study direction, and obtain operational and scientific insights in real time.


Services

Patient-level clinical events prediction service

Deliver predictive analytics that forecast patient-specific drug response, adverse events, and trial endpoints to support enrollment and study management.

Real-world evidence integration and analytics

Integrate and harmonize multi-source RWD (EHRs, wearables, patient-reported outcomes) to generate insights for trial adaptation and regulatory submissions.

Model validation and back-testing service

Validate predictive models by back-testing against completed clinical studies and provide performance reports, confusion matrices, and other evaluation artifacts.

Co-pilot deployment and customization

Deploy and customize an interactive generative-AI co-pilot and dashboards for real-time queries on predictions, study actuals, and documentation.

Expertise Areas

  • Clinical trial management
  • Predictive analytics for clinical outcomes
  • Real-world evidence integration
  • AI/ML model development for therapeutics
  • Show More (4)

Key Technologies

  • AI-powered predictive analytics
  • Therapeutic-area-specific foundation models
  • Real-world data integration (EHRs, wearables, PROs)
  • Natural language processing (NLP)
  • Show More (4)

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