Model your service delivery before you build it

For Heads of Strategy and Operations launching new service lines, digital products, or transforming service delivery models.

$8M+
Avg CAPEX Saved
23%
Throughput Increase
6 weeks
To Decision

Problems We Solve

Critical challenges that keep manufacturing leaders up at night

Service Launch Uncertainty

You want to launch a new service line, but the resource requirements, pricing model, and profitability are unclear. Building it and hoping for the best is too risky.

Capacity Planning

How many staff do you need? What skills? Can existing teams handle new offerings, or do you need to hire? Guessing wrong means either overstaffing or service failures.

Pricing Confidence

You need to price competitively while hitting margin targets. But without understanding true delivery costs and time, pricing becomes guesswork.

Service Model Optimization

You're redesigning service delivery (e.g., moving to a platform model, adding automation). What's the impact on cost, quality, and customer experience?

How Simulation Helps

We build a dynamic digital twin—a working model that simulates production flow, resource allocation, and system behavior.

Test Service Models

Model different delivery approaches, pricing structures, and customer journeys to find the optimal design before launch.

Right-Size Resources

Determine staff requirements, skill mix, and technology needs under varying demand scenarios. Avoid overstaffing and service quality issues.

Validate Pricing

Understand true delivery costs, capacity constraints, and margin sensitivity. Price with confidence based on realistic operational data.

Case Study Highlights

Real results from real clients

Anylogic

Automotive Manufacturing Excellence

How digital twin simulation saved $8M and increased throughput by 23% for a global tier 1 supplier

$8M+
Avg CAPEX Saved
23%
Throughput Gain
6 weeks
Time to Decision
98%
Accuracy

Our Process

Manufacturing & Physical Systems methodology

01
Discover

Align on business outcomes, assess data quality, and identify demand and policy drivers.

02
Define the Operating Model

Model how concepts move from demand through commitment to delivery.

03
Simulate Decision Constraints

Test capacity limits, prioritization rules, and policy tradeoffs.

04
Simulate New Operating Options

Evaluate alternative pricing, delivery models, staffing, and fulfilment approaches.

“The team helped us see the impact of decisions before we spent the money. It changed how we think about operations and capital.”

Michael Chen
CEO

Business value proposition

Manufacturing & Physical Systems methodology

Flow Optimization Sprint

This is some text inside of a div block.
Faster throughput without added labor
Faster throughput without added labor
Near-term gross margin improvement
VP Manufacturing
Plant Managers
CI Leaders

Flow Optimization Sprint

This is some text inside of a div block.
Faster throughput without added labor
Faster throughput without added labor
Near-term gross margin improvement
VP Manufacturing
Plant Managers
CI Leaders

Flow Optimization Sprint

This is some text inside of a div block.
Faster throughput without added labor
Faster throughput without added labor
Near-term gross margin improvement
VP Manufacturing
Plant Managers
CI Leaders

Flow Optimization Sprint

This is some text inside of a div block.
Faster throughput without added labor
Faster throughput without added labor
Near-term gross margin improvement
VP Manufacturing
Plant Managers
CI Leaders

Ready to Test Your Next Big Decision?

Schedule a consultation to explore how simulation and digital twins can de-risk your next major investment or initiative.

Schedule Consultation