Developing a truly configurable architecture for Semiconductor-Electronics companies requires a blend of deep industry expertise and advanced technical sophistication. The complex process, spanning from wafer fabrication to distribution, demands a thorough understanding of business operations and sophisticated data extraction techniques. SumOpti has worked iteratively to balance the diverse requirements of various use cases. The result is our Dynamic Allocation Planning system (DAP), a solution shaped by the insights of our domain experts, who have extensive experience with leading companies, including:

SumOpti’s Dynamic Allocation Planning (DAP) system delivers powerful, data-driven capabilities for sophisticated planning, allocation, and product-mix decision modeling. It enables companies—especially those with broad product lines and hundreds of SKUs—to simulate outcomes quickly and accurately across multiple variables and business priorities.

For example, SumOpti DAP can optimize complex, multivariable scenarios involving 50 nodes, 250 dies, 1,000 product families, and 100,000 customer demand lines—in just one second. In contrast, traditional systems often require minutes to hours to process far simpler scenarios and struggle to handle complex product-mix, channel, or region-based planning.

SumOpti’s Dynamic Allocation Planning (DAP) system is mission-critical business software for driving revenue in Semiconductor and Electronics companies. It delivers 95% planning certainty and enables faster decision-making through rapid evaluation of multiple top-down scenarios. The system optimizes for contractual obligations (LTAs), market share, total addressable market (TAM), revenue, and margin—while assessing the financial impact of complex, multivariable scenarios constrained by tech-node-level supply. This is part of what SumOpti calls its Silicon–to-Scenario Stack: a deep integration of semiconductor realities, data transformation, and real-time allocation.

Initial funding came from two customers, Network Appliance and Alcatel-Lucent, through milestone-based payments. Soon after, SanDisk and NVIDIA also became customers, contributing to the company’s growth and validating the system’s ability to outperform traditional ERP systems in speed, accuracy, and adaptability. SumOpti was instrumental in optimizing allocation processes for these early clients, paving the way for the development of innovative, AI-driven solutions. In 2017, SumOpti conducted a pilot with NVIDIA on autonomous planning and, in 2018, deployed an autonomous data collection system into production.

SumOpti developed an innovative approach to direct order fulfillment for Semiconductor-Electronics companies. This approach is rooted in a full-stack model that tightly links silicon-level constraints to data analytics and a decision-ready user interface.

SumOpti emerged from a critical insight Jay Goyal gained while leading Oracle’s Semiconductor-Electronics vertical: ERP systems excel at data management but fall short in addressing the industry’s most pressing challenge—combinatorial optimization and predictive analytics. Semiconductor-Electronics customers are forced to rely on cumbersome, error-prone spreadsheets to make high-stakes decisions about direct order fulfillment (DOF)—allocations, product mix, channels, regions, and distribution. This glaring gap led to the founding of SumOpti, with a mission to replace static, reactive planning with dynamic, AI-driven optimization for direct order fulfillment.

SumOpti drives higher throughput through an intuitive user-interaction model within a self-service SaaS system tailored for Semiconductor-Electronics workflows. Its uniquely flexible architecture is highly configurable to support company-specific processes and a broad range of use cases. The system is fast, scalable, and purpose-built to handle complex datasets with ease.

By consolidating capabilities into a state-of-the-art full-stack architecture — from silicon constraints and data integration to user-driven planning scenarios — SumOpti empowers Semiconductor-Electronics users to manage variability, allocate resources, evaluate alternatives, and understand trade-offs—efficiently, effectively, and all in one place.