Effortlessly boost tool performance with Flex Local
Say goodbye to manual rules and constant parameter tweaking. Flex Local enables you to optimize toolset KPIs like throughput, cycle time, and reticle moves autonomously.
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Drive fab efficiency from the toolset level
Flex Local leverages AI and mathematical optimization to enhance toolset KPIs and drive consistent efficiency. Simply define your overall objective, and the system continuously optimizes WIP flow, manages complex trade-offs, and generates optimal schedules in real time.

Set objectives, not parameters
Smart fabs aren’t run with repeat trial-and-error. Flex Local removes the need for never-ending parameter tuning by autonomously making intelligent decisions in order to achieve your desired objectives. It automatically adapts to the changing fab environment, saving valuable engineering time and delivering consistent performance.
Shopfloor actions in real time
Complex scheduling decisions filtered down into a simple checklist. The Runway feature gives manufacturing specialists live, prioritised actions — like when to load, unload, or changeover — through a clean, intuitive interface designed for portable use. Everything needed for daily execution at your fingertips.

Guaranteed KPI improvements
Flexciton’s Autonomous Technology empowers chip manufacturers to maximise production performance with far greater confidence. By replacing outdated, reactive systems with intelligent, real time data-driven decision-making, we deliver optimised plans and schedules—enabling fabs to run with greater precision and autonomy.
Increase in throughput in the photo area
Reduction in timelink violations in the diffusion area
Increase in batch size across the diffusion area
The autonomous advantage
The fab floor doesn’t stand still. Neither should your scheduler. See how Flex Local stacks up against legacy scheduling approaches.
Dynamic Approach
Consistent KPIs improvement. Optimiser always providing optimal solution independent of fab state.
Fixed Approach
Fixed rules do not maximise the potential of the fab. Production KPIs optimum only for a single state.
Autonomous
By setting objectives once; it autonomously adapts to fab changes, tool downtime, new recipes, and shifting priorities.
50% - 80% of 1 Eng FTE
Engineering resources required to understand and then to maintain legacy solutions, re-tuning at every change in fab state.
Trade-offs visualised
Set fab KPIs weights confidently with clear understanding of all trade-offs.
Trial and error
Tuning rules weights with limited confidence if objectives will be achieved.
Typically 12 months To Full Deployment
Simple testing and roll-out whilst adapting to customer needs. Benefits begin right away.
2 - 3 Years To Full Deployment
Long roll-out process, requires considerable time and resources to set-up and test rules during roll-out.