We build mathematical models that simulate real-world systems and find the best decision.
From deterministic linear programming to agent-based simulation, our modelling capability covers the full spectrum of enterprise optimisation.
Find the best possible decision, provably. Linear and integer programming models that solve scheduling, routing, pricing, and costing at enterprise scale.
Model complex dependencies and flows, then find the optimal path through them. Built for logistics, infrastructure, and multi-node operational systems.
Test assumptions early with scenario simulation, sensitivity testing, and decision-ready ranges.
When constraints conflict, we identify what is blocking a feasible solution and the smallest changes needed to restore one.
Modelling capability is only as good as the domain knowledge behind it. Our teams bring sector-specific expertise to every engagement, so models are calibrated to how your industry actually operates.
We build workforce demand models, patient flow simulators, and capacity planning engines that operate at the scale and sensitivity that healthcare organisations require.
Nurse and clinician demand forecasting across regions and contract types
Forecast workforce demand by location, specialty, and contract type to support staffing decisions.
Patient flow and bed occupancy simulation for hospital networks
Model patient movement and bed demand to improve capacity planning across hospital networks.
Shift scheduling optimisation under skill-mix and regulatory constraints
Build schedules around demand, required skills, staffing ratios, and regulatory constraints.
Cost-per-encounter modelling linked to staffing decisions
Measure how staffing levels and workforce mix affect cost per patient encounter.
Four principles that define how SSI builds, validates, and delivers models you can put into production.
A model earns its place only when it improves a decision. Every optimisation model, simulation, and risk framework we build is engineered specifically to improve the decisions that drive your business forward.
Production is the only test that matters. Our architectures are validated, documented, and integrated with your live systems, built for live operation rather than a one-time proof of concept.
Every engagement is tied to concrete business metrics: cost reduction, yield improvement, risk mitigation, or time-to-decision. We define success criteria before we build, and measure against them after.
All production models are back-tested, sensitivity-tested, fully documented, and peer-reviewed by a second team of mathematicians before sign-off, catching errors before they ever reach production.
Our four-phase methodology eliminates the most common failure points in optimisation modelling: poorly scoped problems, unvalidated assumptions, and models that never make it to production.
We work with your domain experts to define the problem precisely: variables, constraints, and success criteria, before any model is built.
We validate accuracy and performance in a controlled environment, with clear go/no-go criteria before we commit to full production build.
Scaling the model architecture. We build robust integrations with your existing data infrastructure and operational systems, establish validation protocols, and document the model end-to-end for audit and handover.
Models are continuously monitored for drift, accuracy degradation, and changing input conditions, with corrective measures applied before outcomes are affected.
Let’s talk about what optimisation modelling can do for your business.
An OR-based scheduling engine uses MLP demand forecasts to generate optimal shift plans, enforcing credentials, compliance, and role constraints while minimizing staffing variance across departments.
50%
Admin Time Reduced
Real-Time
Scenario Modeling
An OR-based scheduling engine uses MLP demand forecasts to generate optimal shift plans, enforcing credentials, compliance, and role constraints while minimizing staffing variance across departments.
A Google OR-Tools model automates monthly menu planning for correctional facilities, meeting nutritional and procurement constraints while minimizing spend and replacing manual dietician workflows.
18%
Daily Cost Reduction
Monthly
Menus Automated
↓↓
Dietician Manual Effort
A Google OR-Tools model automates monthly menu planning for correctional facilities, meeting nutritional and procurement constraints while minimizing spend and replacing manual dietician workflows.
What’s new at SSI, insights, news, blogs, whitepapers, and guides from our teams.
NEWS
Multi-cloud architecture transformation enabling real-time patient data analytics while maintaining HIPAA compliance
BLOG
Multi-cloud architecture transformation enabling real-time patient data analytics while maintaining HIPAA compliance
CASE STUDY
Multi-cloud architecture transformation enabling real-time patient data analytics while maintaining HIPAA compliance
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Delivering intelligent systems and engineering excellence globally since 1993.
