Unlock hidden capacity. Eliminate scheduling bottlenecks. Accelerate life-saving therapies to patients.
Disconnected systems create operational opacity that costs manufacturers 15–20% of annual capacity.
MES, ERP, QMS, LIMS, EAM, and DCS operate independently with no unified intelligence layer connecting cross-system operational data.
Operations teams spend thousands of hours manually extracting, reconciling, and analyzing data across disconnected platforms — with no guarantee of accuracy.
Scheduling conflicts, release bottlenecks, and OEE degradation surface only after they cascade — root causes remain buried in fragmented data.
A cross-system intelligence layer powered by the LattïxIQ AI Engine that transforms fragmented manufacturing data into actionable operational intelligence.
Moves beyond surface-level dashboards to identify why performance degrades. Pinpoints equipment maintenance patterns, quality hold timing, and cross-suite resource conflicts.
Flags scheduling conflicts across multi-product campaigns before they impact production. Prevents downstream delays caused by shared resource contention across sites.
Quantifies hidden capacity opportunities with measurable impact projections — turning operational analysis into board-ready financial justification.
Surfaces quality review and testing bottlenecks delaying product release in real-time — so batch disposition decisions are made with full operational context.
Integrated modules that cover the full lifecycle of biologics manufacturing operations — from program strategy to individual batch disposition.
Drug programs grouped by modality — mAb, ADC, CGT. Phase tracking, site assignments, and real-time OEE monitoring across your full portfolio.
Vial-level demand forecasting and supply planning for each program. Identify shortfall months and coverage gaps before they impact patient access.
Capacity simulation and production scheduling across all sites and lines. Detect conflicts and optimize resource allocation in real-time.
End-to-end batch lifecycle visibility across the finished product portfolio — from upstream bioreactor through QC release and disposition.
A disciplined three-phase approach designed for validated pharmaceutical manufacturing environments.
Read-only connections to MES, ERP, QMS, LIMS, and EAM via 21 CFR Part 11 / SOC 2 / ALCOA+ compliant architecture. 12–24 months of historical data validated.
LattïxIQ AI Core deployed. Root cause identification, bottleneck detection, and real-time dashboards configured for your operational context.
Predictive bottleneck detection activated. Prioritized improvement roadmap delivered with executive readout and 12-month optimization framework.
Data-driven improvements with measurable capacity recovery across manufacturing operations.
Request access to begin a 90-day OEE diagnostic engagement with your manufacturing operations team.