Adaptive model-driven optimization to improve consistency and batch success across sites and scales
No mechanistic model, no heavy coding. Start with input (media, feeds, setpoints) and the outcome you care about ( yield, viability, cost), and let our engine recommends the optimal conditions within fewer experiments
Start with the data you already have. Our models transfer what they learn to new batches and cells, enbaling forward predictions and reducing trial-and-error
No process data leaves your environment. Encryption in transit/at rest, role-based access, and audit logs keep your teams and regulators confident.
Bioprocess development meets algorithm excellence—under one roof.
We map how starting-material variability (patients/batches) drives manufacturing outcomes and recommend next-best conditions—helping teams cut development cycles and cost. Delivered as SaaS with an optional premium tier for custom models and integrations; compared to CRO outsourcing, you keep control, iterate faster, and spend less per learning cycle.
Talk to us to learn more or schedule a demo.
