How we approach it
Three commitments we hold to
01
Connected records
Batch genealogy links deviations that were previously investigated in isolation.
02
Modest, reliable models
Pattern detection where it earns its keep, rather than AI applied for its own sake.
03
Scenario readiness
Disruption is simulated before launch, and buffers are sized against specific risks.
Services
How engagements are structured
Life Sciences Expertise
Manufacturing & Supply
We connect MES, LIMS and supply planning data into a single operational view, applying anomaly detection and scenario modelling to protect yield, release timelines and continuity of supply.
- Batch genealogy and deviation analytics
- Yield and OEE modelling
- Cold-chain and logistics monitoring
- Supply scenario simulation
Engineering Expertise
Advanced Analytics
Statistical and machine learning models delivered where decisions actually happen — embedded in the operational tools teams already use, with monitoring that catches drift before it costs anything.
- Forecasting and demand modelling
- Causal inference and uplift analysis
- Decision intelligence interfaces
- Model monitoring and drift alerting
Engineering Expertise
Quality & Compliance
We embed validation and control design into delivery rather than bolting it on: computerised system validation, audit trails, access governance and documented AI risk assessment.
- GxP validation packages
- Audit trail and access governance
- AI risk assessment frameworks
- SOP and control documentation
FAQ