Implementing Digital Twins & AI
AI-powered Digital Twins of your factory provide real-time insights and a strong competitive edge.
We leverage AI, advanced data analytics, and full-stack engineering to deliver quantifiable results that redefine efficiency and innovation in the semiconductor industry.
Reduction in Product Development Cycle Time with Agentic AI.
Accuracy in Automated Visual Defect Detection.
Decrease in Unplanned Downtime with Predictive Maintenance AI.
Faster Time-to-Market through Accelerated ER&D and Validation.
Increase in Yield by Monetizing Data from IT/OT Convergence.
Faster Factory Simulation with Digital Twins.
Improvement in OEE with Digital Twin Factory Simulations.
Traceability in PLM through Seamless IT/OT Integration.
The journey to creating intelligent products and smart factories is filled with challenges, from fragmented data silos to intense pressure to innovate faster. We provide the chip-to-cloud expertise to transform these obstacles into catalysts for growth.
We provide an integrated portfolio of services to modernize every aspect of your operations, from cloud infrastructure to the factory floor and end-user experience.
Full lifecycle hardware and embedded engineering, from PCB design and BOM optimization to full PVT certification.
Robust data pipelines and visualization dashboards to turn manufacturing data into actionable intelligence for yield improvement.
Manufacturing platforms require AI embedded into quality and operations.
IT/OT Convergence is the integration of Information Technology (e.g., PLM, ERP) and Operational Technology (e.g., factory floor equipment). It’s critical for creating a ‘single source of truth’, enabling seamless data flow from a product’s initial design and BOM in PLM to its manufacturing and quality control on the factory floor, improving traceability and reducing errors.
Semiconductor design involves massive, burstable computing workloads (like simulations) that are ideal for the cloud but can be costly. Cloud FinOps provides visibility, accountability, and optimization of these cloud costs. It ensures you’re using the most cost-effective resources without sacrificing the performance your EDA tools need.
This is a multi-stage process to ensure product readiness. Engineering Validation Testing (EVT) verifies core functionality. Design Validation Testing (DVT) tests the product against full specifications and environmental stresses. Product Validation Testing (PVT) is the final stage, using production units to confirm readiness for mass manufacturing.
Yes. Our embedded engineering team has extensive experience integrating a wide range of protocols, including low-power options like Bluetooth Low Energy (BLE) and Zigbee, standard connectivity like Wi-Fi, and cellular technologies like 4G/LTE and 5G for high-bandwidth, low-latency applications.
AI speeds up chip design by automating simulations, identifying defects earlier, and optimizing manufacturing yields. Veltris applies AI accelerators to reduce time-to-market and improve product quality across the semiconductor lifecycle.
