Modernize semiconductor design, fabrication, testing, packaging, and supply chain operations through secure and scalable digital platforms. Prismberry develops semiconductor software that connects equipment, production processes, engineering teams, quality systems, materials, and enterprise operations.
With deep engineering expertise and AI‑augmented development practices, we deliver software that performs reliably, scales effortlessly, and accelerates digital transformation. Our team blends research‑driven architecture with automation, UX excellence, and data‑driven optimization.
From fab management and equipment integration to yield analytics, quality automation, predictive maintenance, and semiconductor data intelligence, we build connected platforms that improve production performance and engineering visibility.
Connected semiconductor manufacturing platforms for lot and wafer tracking, production scheduling, route control, recipe management, work in progress, and fab visibility.
Connect semiconductor equipment, sensors, controllers, gateways, and factory systems for real-time data collection, equipment monitoring, alarms, and production automation.
Intelligent semiconductor systems for yield prediction, wafer map analysis, defect inspection, process anomaly detection, predictive maintenance, and root cause analysis.
We combine cloud platforms, artificial intelligence, data engineering, modern application frameworks, and DevOps technologies to build secure, scalable, and industry-ready digital solutions.
End-to-end semiconductor technology solutions designed to connect fabrication operations, improve yield, reduce equipment downtime, strengthen quality, and support faster engineering decisions.
Manage wafer lots, process routes, recipes, production stages, work in progress, equipment activity, and fab performance through connected systems.
Connect semiconductor equipment, sensors, controllers, alarms, gateways, and manufacturing systems through secure digital infrastructure.
Analyze wafer maps, process variations, defects, inspection data, and test results to improve yield, quality, and product performance.
Digitize test operations, product qualification, material tracking, supplier workflows, inventory, packaging, and delivery visibility.
Explore how Prismberry uses AI, computer vision, industrial IoT, automation, and connected semiconductor data to improve yield, equipment reliability, quality, and production performance.
Small variations in process conditions, equipment behaviour, materials, or testing parameters can significantly reduce wafer and device yield.
Equipment failures interrupt production, delay wafer lots, reduce throughput, and increase maintenance and operational costs.
Manual inspection and delayed defect classification can allow process issues to affect multiple wafers, lots, or packaging stages.
Complex production processes can produce subtle deviations that remain difficult to identify through manual monitoring and static limits.
Equipment, MES, quality, testing, engineering, maintenance, and supply chain data often remains isolated across multiple applications.
Long lead times, limited material availability, supplier dependencies, and demand changes can disrupt semiconductor production plans.
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Trusted by 180+ clients across fintech, healthcare, SaaS, and enterprise tech worldwide.
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Scale faster, automate smarter, and integrate AI seamlessly across your business systems.
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