Intelligencia AI


Intelligencia AI is a leading AI-driven drug development company dedicated to de-risking clinical development and enhancing decision-making with AI-powered probability of success assessments. They focus on transforming the pharmaceutical industry through innovative solutions, predictive analytics, and transparent AI models to bring groundbreaking therapies to market faster and more efficiently. Their solutions include AI-powered tools for drug development, data curation, predictive analytics, explainable AI, and dynamic benchmarking to support scientific and business decisions.

Industries

artificial-intelligence
big-data
biotechnology
clinical-trials
enterprise
enterprise-software
health-care
life-science
machine-learning
pharmaceutical

Nr. of Employees

medium (51-250)

Intelligencia AI

New York, New York, United States, North America


Products

Predictive probability-of-success model (patented)

A predictive modeling product that computes probability-of-success scores for individual clinical programs, combining curated data, machine-learning algorithms and explainability outputs to inform go/no-go and portfolio decisions.

APIs for programmatic data and model access

Cloud-hosted interfaces that enable customers to retrieve model outputs, access harmonized datasets, and integrate analytics into internal dashboards and toolchains.


Services

Portfolio prioritization SaaS

Cloud-delivered ranking and prioritization tools that combine probability estimates with configurable business and clinical criteria to support resource-allocation decisions.

Dynamic benchmarking and comparative analytics

Benchmarking service that provides up-to-date, customizable comparative analyses and filters for clinical programs using harmonized historical and current trial data.

Curated data subscriptions and bespoke analytics

Provision of expertly curated clinical development datasets plus tailored analytics engagements and advisory support to answer program- or portfolio-specific questions.

Asset screening for business development

Data-driven screening and composite-scoring engagements to identify and prioritize acquisition or in-licensing targets using program-level probability assessments and strategic filters.

Expertise Areas

  • Probability-of-success modeling for clinical programs
  • Clinical trial signal detection and trial-design optimization
  • Dynamic benchmarking and historical phase-transition analysis
  • Explainable AI and model interpretability for healthcare analytics
  • Show More (4)

Key Technologies

  • Supervised machine learning for clinical outcome prediction
  • Explainable AI attribution methods
  • Dimensionality reduction and clustering
  • Real-world data (RWD) integration
  • Show More (4)

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