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ROI Impact Analysis

Enter fab scale, the number of processes in scope and expected yield improvement to estimate Amfibian's 3-year savings and break-even point.

How economics change
as deployment scales

Compare the cost of Amfibian with your current operating model. Results update as you change the assumptions.

Calculation assumptions

Use your current fab and expected deployment scope as a starting point.

20 processes
0200

Calculated using 50 models per process.

0.0010%
0.0005%0.0050%

Estimated 3-year savings by deployment scenario

Calculating…

vs manual operations
—
3-year savings
Break-even: —
vs point solutions
—
3-year savings
Break-even: —
vs area-level platform
—
3-year savings
Break-even: —
3-year savings (USD $B)
—
vs manual operations
—
vs point solutions
—
vs area-level platform

Savings = comparison scenario total cost − total cost with Amfibian

Break-even = minimum deployment scope where savings become positive

Results are directional estimates for initial evaluation. Actual ROI depends on fab conditions and deployment scope.

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Why broader deployment improves economics

Instead of building a separate system for every process, Amfibian lets teams repeat model development, validation and operation in one product.

01

Fleet-based unified operations

Reduce fragmented process-by-process operations and duplicate work, making it faster to expand to the next process.

02

Cost structure designed to scale

Operating and compute costs grow more slowly than deployment scope, so savings accumulate as adoption expands.

03

Minimal manual intervention

Reduce repetitive tuning and exception handling so engineers can focus more on improving the process itself, not maintaining the system.