Smarter Decisions.
AI Optimized Trials.

PhaseV empowers biopharma sponsors and CROs with AI/ML-driven solutions for fast, efficient, and accurate clinical development decisions.

Smarter Trials. Faster Results. Better ROI.

Higher Probability of Success
Increase your trial success rates with our AI-powered optimization tools.
Sharper Strategic Decisions
Make data-driven decisions backed by advanced analytics and predictive models.
Smarter Use of
Existing Data
Leverage historical data to inform and optimize your current trial designs.
Faster Trials with
Leaner Designs
Streamline operations and reduce time-to-market with efficient trial protocols.

Proven Results

40%
Reduced Enrollment
50%
Lower Trials Costs
40%
Shorter Trial Duration
30%+
Higher Probability of success
*The values shown are based on outcomes from real-world collaborations where PhaseV supported biopharma companies in optimizing trial design and operations.

Case Studies

Proven Outcomes: Transforming Clinical Trials

1. Causal-ML for HTE [Type II Diabetes]

Oramed is reinitiating a previously failed diabetes clinical trial after PhaseV's analysis identified a subset of patients who responded well to their oral insulin candidate

The subgroup results aligned with Oramed’s Phase 2 findings and were further validated by external studies, including data from multiple Phase 3 trials. The results underwent rigorous sensitivity testing and false discovery analysis to ensure robustness and reliability
Learn more
2. Trial Optimizer [Infectious Disease]
Phase 3 study redesign for biotech: Running extensive simulations across various designs, PhaseV presented alternative configurations and their impact, guiding client towards optimal design to meet trial objectives
Optimized Redesign Reduced Sample Size by 10-15% with Efficacy
3. Trial Optimizer [Rheumatic Disease]
Phase 2 simulations for biotech: Running extensive simulations across various designs, PhaseV presented alternative configurations and their impact, guiding client towards optimal design to meet trial objectives
4. ML Early Derived Endpoint Identification & Trial Optimizer [Systemic Lupus Erythematosus]
  • PhaseV analyzed a Phase 2 randomized controlled trial (RCT) for a lupus drug, where the primary endpoint was BILAG score improvement at 24 weeks.
  • PhaseV ML-based analysis showed BILAG data at week 8 could serve as a reliable early derived endpoint to predict improvement at week 24.
PhaseV then designed and simulated an adaptive trial using the early derived endpoint, demonstrating a significant reduction in required sample size and overall trial efficiency.
Learn more
5. Causal Disease Modeling [Oncology]
PhaseV’s PD-L1 blocker model closely recapitulates patient-level variability observed in the Atezolizumab trial (NCT02108652)

What our partners are saying

EMD Serono
"We worked with PhaseV on one of our recent trials to identify clinically meaningful subgroups using Causal ML. Their expertise helped us identify a promising subpopulation that otherwise would not have been detected. They collaborated with our internal teams to ensure the findings drove real value for our development plan."
Stu Bailey, D.Phil., SVP Head of Clinical Measurement Sciences at EMD Serono
Big Pharma 1
“Leveraging PhaseV's causal ML-driven site selection module was a game-changer for us. We identified top-performing sites with proven recruitment success while also achieving geographic and demographic diversity across our trial footprint.”
VP, Clinical Operations, Big Pharma Company
Big Pharma 2
"PhaseV’s indication selection and sequencing module helped us uncover and validate new indications to pursue for, guiding our lifecycle management strategy with data-driven confidence."
SVP, Strategy & Portfolio Management, Big Pharma Company
Big Pharma 3
"PhaseV’s causal disease modeling allowed us to draw clear, data-driven connections between biomarkers and clinical outcomes. This deeper understanding of therapeutic relevance has been critical in shaping our development strategy and informing key decisions for future studies, including those with combination arms."
VP of Biometrics, Big Pharma Company
Innovation & Support for an ALS Trial
"Through our initial collaboration with PhaseV, we gained an even greater understanding of the effect of PrimeC across multiple patient subgroups. We will apply these insights to optimize the design of our Phase 3 study with the aim of maximizing meaningful clinical results that will differentiate PrimeC in the market. We plan to continue to collaborate with PhaseV as we develop our Phase 3 trial."
Innovation & Support for an ALS Trial
"PhaseV played a vital role in the analysis of our Phase 3 trial in the US, ORA-D-013-1, for the treatment of type 2 diabetes. The analysis found subpopulations of patients that responded very well to oral insulin,"
Dr. Miriam Kidron, CSO at Oramed.
Innovation & Support for an ALS Trial
"Combining our GI expertise with PhaseV’s advanced machine learning capabilities for trial simulation, design, and execution…accelerate success for our sponsors and help address the growing burden of GI diseases more effectively.”
Pierre Gaudreault, CEO of Alimentiv.
Innovation & Support for an ALS Trial
"The addition of prospectively collected clinical-grade real world data to phase 2 results … in conjunction with PhaseV’s proven technology is a critical step forward in improving phase 3 oncology trials, helping to bring new therapies to market.”
Michael Pröschel, CEO of iOMEDICO