Ainekko’s Agentic SoC is an open, full-stack approach to AI-native silicon that treats hardware as a programmable, composable substrate for model execution rather than a fixed target. Built on a many-core RISC-V architecture with tile-based compute and memory, the platform enables automated model-to-hardware mapping, dynamic quantization, and workload-specific system composition at packaging time, eliminating the need for per-model tape-outs.

We invert the traditional stack: models define the hardware. Our approach sits between FPGA flexibility and etching models into ASIC-level efficiency, delivering high performance and practical economics while remaining fully programmable to adapt to rapidly evolving models and architectures.

Our programmable RISC-V fabric has been validated with a 1,088-core tape-out and is designed to scale to 4,000+ cores. On top of this foundation, we have built a set of open building blocks across RTL, compiler, and runtime, which we are open-sourcing through the OpenHW Foundation (CORE-ET project) and AIFoundry. This open ecosystem enables developers, researchers, and AI agents to co-design across the full stack and directly optimize execution on hardware. This openness is essential: supporting fast-moving models, heterogeneous edge workloads, and agent-driven development requires a system where new kernels, quantization strategies, and architectural innovations can be introduced and composed without vendor constraints.