Meet PersistAI's Self-Optimizing Formulation Scientist
Our proprietary AI formulation engine analyzes your drug development challenge and delivers data-driven formulation strategies within 24 hours.
Example Questions:
"I want an oral formulation for aspirin that avoids hydrolysis and improves stability at room temperature."
"I want a SEDDS formulation for a poorly soluble drug (log P of 4, MW 1,000) that achieves 20% drug loading while preventing crystallization during storage."
⚠️ Important: Do Not Enter Proprietary Information
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Use non-proprietary SMILES codes only
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Describe your drug in general terms (e.g., "poorly soluble small molecule, log P of 3")
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Use generic drugs as examples (e.g., aspirin, ibuprofen, metformin)
Features
Persist AI's formulation intelligence engine is trained on thousands of formulation experiments and powered by advanced computational chemistry.
Formulation Composition
Optimal excipient selection & ratios for your target product profile
Long-Term Shelf Life
Predict instability and impurities early in development
In-Vivo Performance
PBPK-informed formulation design for better bioavailability
API CMC Risk
Identify API vulnerabilities to solve through formulation
Work With What You Have
📊 Molecular Descriptors
Don't have a full structure? No problem. Our AI agent can work with molecular properties like log P, molecular weight, solubility class, and other descriptors.
🧬 Full Structure (SMILES)
Providing a complete molecular structure gives the agent more predictive power for excipient compatibility and stability predictions.
Multi-Agent Intelligence Engine
Our engine uses a multi-agent AI system where specialized agents work together to analyze your formulation question and provide comprehensive recommendations.
Global Orchestrator Agent
Formulation
Agent
Prediction
Agent
CMC Risk
Assessment Agent
Toxicology & Bioavailability Agent
Experimentation
Agent
AI & Computational Capabilities
Molecular Modeling
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Density Functional Theory (DFT) for solubility prediction
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Formulation stability assessment a priori
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Molecular Dynamics for drug-polymer interactions
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Drug-excipient compatibility screening
Predictive AI
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Bayesian Optimization — find optimal formulations faster
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Deep Neural Networks with transfer learning
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Works even with limited API availability
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Multi-Agent Workflows for de-risking
Process Modeling
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Film & Wurster coating simulation
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Lyophilization cycle optimization
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Spray drying & hot melt extrusion
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Tableting & microencapsulation
Case Studies
Unstable Phase 2 Formulation
Problem: Customer had an unstable Phase 2 formulation with limited design space explored
Solution: AI-driven analysis of hydrophobic pockets and excipient behavior found ideal excipients that improved stability
Problem: Customer struggled for 3 years testing 10-15 formulations/month with no viable candidate
Solution: 700 formulations with AI-driven insights in 3 months — lead formulation identified and moved to clinic
3 Years → 3 Months
Problem: Multinational customer had labs generating characterization data that didn't match
Solution: Cloud laboratory testing generated uniform data set for AI training — saved 40 months of effort
Global Data Harmonization
Powered by Real Data
Our engine isn't just trained on literature — it's built on thousands of real formulation experiments from Persist AI's high-throughput robotic laboratory.
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1,000+ formulations tested per month
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Integrated HPLC, spectrophotometry, and Raman analytics
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Continuous learning from new experimental data
