XgenSilicon provides an automated platform that turns AI models into custom ASICs for edge devices, handling software, architecture, and hardware optimization in a single workflow. By streamlining design cycles and delivering predictable power and performance, it lets developers quickly bring differentiated edge AI products to market with confidence.
Funding
Funding not disclosed
Founders
Product
Problem
Designing custom AI ASICs for edge devices typically requires separate expertise in software, architecture, and hardware, leading to long development cycles, unpredictable power and performance outcomes, and high entry barriers for many AI product developers.
Solution
XgenSilicon offers an automated platform that unifies optimization across the entire AI stack—from model to silicon—enabling rapid creation of custom AI ASICs tailored for edge applications. The system takes an AI model as input and automatically explores architectural configurations, performs hardware synthesis, and predicts power and performance metrics, delivering a production‑ready ASIC design with minimal manual effort. By providing predictable performance estimates and a streamlined workflow, the platform reduces design time and risk, allowing developers to bring differentiated edge AI products to market faster and with greater confidence. The end‑to‑end solution also supports seamless deployment, bridging the gap between AI model development and silicon implementation.
Target Audience
Primary customers are edge AI hardware developers, semiconductor startups, and OEMs that need custom ASIC solutions to differentiate their AI‑enabled products.
Features
- Automated end‑to‑end optimization pipeline that maps AI models to custom ASIC architectures across software, architecture, and hardware layers
- Predictive analytics for power consumption and performance, delivering reliable design specifications before tape‑out
- Rapid design cycle acceleration through AI‑driven design space exploration and automated hardware synthesis
- Integrated verification and validation tools to ensure functional correctness of the generated ASIC
- Scalable platform that supports a wide range of edge AI workloads and target form factors