
We simulate and optimize complex life science supply networks, connecting CMOs, production, and business sites to navigate scale-up challenges and turn volatility into resilience.
Juggling small-batch clinical precision with commercial-scale efficiency creates friction.
Transitioning from low-volume, high-variability trial materials to mass production risks underutilized equipment, rushed tech transfers, or costly overstocking.
Disjointed data across CDMOs, suppliers, and internal ERPs creates 'blackout zones'.
Delays at third-party sites go undetected until they disrupt batches, while inventory mismatches plague outsourced production stages.
Balancing shelf-life constraints with volatile demand requires surgical precision.
Overstocking risks waste; understocking risks stockouts. Add cold-chain fragility and sudden regulatory approvals.

Achieve end-to-end visibility from production to logistics, making supply chain complexity and risks easier to understand and address.

Test different production scenarios, optimize resource allocation, and scale operations dynamically to meet market demands.

Dynamically adjust stock levels based on real-time data and predictive analytics to maintain the right balance between supply and demand.
Simulate freezer farm outages, transit delays, or power grid failures for mRNA vaccines and CAR-T therapies.
Predict erratic enrollment spikes with AI-driven simulations for optimized procurement.
Model geopolitical shocks or supplier bankruptcies for high-risk materials optimization.
Simulate QA/QC bottlenecks or raw material deviations that delay batch releases.
Optimize small-batch production for gene therapies and autologous treatments.
Stress-test rapid mRNA vaccine production scale-up with comprehensive modeling.

CEO
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