From raw data to physics-valid predictions
The only oncology platform where AI predictions are mathematically guaranteed to obey biological constraints. No hallucinations. No impossible outcomes.
Data in. Decisions out.
Watch your multi-omics data transform into physics-constrained predictions
1. Raw Data
Multi-omics + imaging inputs
2. VAE Encoder
Compress to digital twin
3. Hypernetwork
Generate physics params
4. Neural ODE
Simulate trajectories
5. Predictions
Actionable outputs
Physics Guarantee
Every prediction passes through our Neural ODE layer, which enforces mass conservation and biological rate laws. The math won't let it hallucinate.
See it in action
A glimpse into the DNAI platform interface
Explore the DNAI Platform
Deep dive into our clinical and biopharma product capabilities
CClinical Platform
Patient Dashboard
Overview of active patients and system status
Patient Overview
Digital twin profile with data completeness
Driver Analysis
MDM2, CDK4, TP53 drivers with impact scores
Tumor Evolution
Agent-based simulation and immune dynamics
Latent State
UMAP projections and vector components
Model Validation
Calibration (0.92) and discrimination metrics
Dose Optimization
Drug scheduling with toxicity constraints
Data Integration
Multi-omics data sources and completeness
Platform Capabilities
Everything you need for precision oncology decision support
Multi-Modal Fusion
RNA, DNA, CNV, methylation, and imaging unified via Product-of-Experts
Digital Twin Generation
328-dimensional latent space captures patient biology with disentangled factors
Physics Simulation
Neural ODEs enforce biological constraints on all trajectory predictions
Treatment Ranking
Patient-specific drug sensitivity scores across targeted, immuno, and chemo
Missing Data Resilience
Self-distillation imputes absent modalities probabilistically — predictions degrade gracefully, never fail silently
Calibrated Uncertainty
Three-layer UQ provides confidence intervals that widen with missing data or out-of-distribution patients
RECIST Forecasting
Simulate tumor volume changes and predict imaging response classifications
Resistance Prediction
Clone evolution modeling identifies when and how resistance emerges
Research use only
DNAI is intended for research and pilot deployments. Not approved for clinical decision-making.
Ready to see physics-constrained AI?
Schedule a demo to explore DNAI with your own data.