Standard Kernel

The company's core product is an autonomous platform that uses AI, including large language models and multi-agent systems, to automatically generate specialized GPU kernels. These kernels are the fundamental computational units that dictate how efficiently AI models execute on hardware like GPUs. By operating at the instruction level, Standard Kernel's system creates code tailored to specific workloads and hardware configurations, replacing static libraries with more efficient, purpose-built software. This approach is designed to significantly improve AI workload performance without altering the AI models or the underlying hardware. In partner testing on NVIDIA H100 GPUs, the company has reported performance increases from 80% up to 4x on certain workloads, in some cases outperforming NVIDIA's own highly optimized cuDNN library.

Standard Kernel's business model addresses the scarcity of expert kernel engineers and the long development cycles required for manual optimization. By automating this process, the company enables AI infrastructure to achieve peak performance more rapidly, which is crucial for AI-native companies, enterprise partners, and cloud infrastructure providers. The company closed a $20 million seed funding round in March 2026, led by Jump Capital with participation from firms like General Catalyst, Felicis, and strategic partners including CoreWeave and Ericsson Ventures. The funds are intended to accelerate the development of its platform and expand deployments.