THE VALIANTᵀᴹ PLATFORM
AI-driven drug formulation
VALIANT is Intrepid's proprietary platform for AI-driven drug formulation.
By combining machine learning, robotics, and formulation science in a closed-loop system, VALIANT designs, tests, and optimizes formulations faster while continuously building intelligence.
Faster development
Reduced material consumption
Better formulations
CAPABILITIES
End-to-end
Proprietary formulation foundation models built from our own experimental data.
Fast
From design to lead candidate in days to weeks, not months.
Efficient
20-60 times more sample-efficient than traditional design of experiments methods.
OUR system
A closed-loop
system
How VALIANTᵀᴹ works
VALIANT combines experimental design, automated execution, characterization, and data analysis in one integrated formulation system.
Powered by Andromeda, Intrepid’s family of foundation models for drug formulation, VALIANT identifies promising opportunities, prioritizes high-value experiments, and improves recommendations with every new result, helping teams move from design space exploration to lead candidate selection, faster.
CONTINUOUS LEARNING
learns
Program-specific knowledge
Organizations can build on knowledge generated across their own formulation programs, enabling faster decisions, more efficient experimentation, and a continuously growing foundation of intelligence.
Every experiment strengthens understanding of the relationships between composition, process, and performance, helping teams identify promising formulations faster and with greater confidence.
PLATFORM
Advanced capabilities
Partnerships
The command center for
formulation development
VALIANT's software platform provides a unified environment for campaign design, experiment tracking, workflow monitoring, and data analysis.
Design campaigns
Define parameter spaces, optimization objectives, and experimental workflows.
Track experiments
Monitor progress, evaluate performance, and identify high-potential candidates.
Monitor workflows
Visualize execution, review datasets, and manage experiment history in real time.
