Our Products
Four AI platforms built to make biology programmable and complex systems controllable.
Digital Bioreactor
LiveSimulate cell culture. Optimize biologics.
The Digital Bioreactor is an AI-powered simulation engine that replicates the conditions inside a physical bioreactor — temperature, pH, dissolved oxygen, nutrient gradients, and cell growth dynamics — with high fidelity.
Instead of running expensive, time-consuming physical experiments, researchers can simulate thousands of culture conditions in silico, identify optimal parameters, and reduce failure rates in production.
Capabilities
- Real-time cell growth simulation
- Multi-variable process optimization
- AI control agents for automated tuning
- Export parameters for physical lab validation
Virtual R&D
LiveCompress years into days.
Virtual R&D applies physics-informed neural networks and foundation models to simulate molecular interactions, pharmacokinetics, and biological pathways — replacing or augmenting early-stage wet lab work.
Research cycles that take months in a lab can run in hours. Teams get more iterations, test more hypotheses, and arrive at the clinic with better candidates.
Capabilities
- Molecular dynamics simulation
- ADMET property prediction
- Pharmacokinetic modeling
- Hypothesis-driven experiment design
Target Discovery Pipeline
LiveFind the targets biology hides.
Our Target Discovery Pipeline uses multi-omics AI — integrating genomics, transcriptomics, proteomics, and metabolomics — to identify novel molecular targets for cancer and rare diseases.
Traditional approaches find targets in well-studied pathways. Ours finds signals buried in the biological noise — previously invisible to human researchers and classical bioinformatics tools.
Capabilities
- Multi-omics data integration
- Novel target identification for oncology
- Rare disease pathway analysis
- Provisional patent-protected methodology
Control Intelligence
LiveTrain in simulation. Deploy in shadow. Take control.
Some systems are too complex to control manually — too many variables in play, feedback that arrives too late, and consequences too costly to learn from in the real world.
Control Intelligence simulates these environments with high fidelity, trains AI agents to master control within the simulation, then deploys them in shadow mode — running alongside existing systems, observing and validating before taking over.
Capabilities
- High-fidelity simulation of complex control environments
- Reinforcement learning agent training at scale
- Shadow mode deployment — observe before you act
- Applicable to bioreactors, energy grids, industrial processes & more
Interested in collaborating?
Whether you're a pharma company, research institution, industrial operator, or investor — we'd love to explore how AI7 can accelerate your work.
Get in touch