Former Neuralink Engineers Launch Simantic to Bring AI-Driven Simulation to Embedded Hardware

The rapid rise of AI coding agents like Cursor and Devin has largely bypassed hardware engineering, where validating code still requires flashing physical development boards. To address this bottleneck, former Neuralink and Tesla engineers Ahnaf Shahriar and Seungmin Hong founded Simantic, a Y Combinator startup building a cloud-native simulation layer for embedded systems. The platform allows AI models to autonomously run, test, and debug firmware without requiring a physical lab setup.

Historically, hardware-in-the-loop (HIL) testing has forced aerospace, robotics, and automotive companies to maintain expensive server racks of physical microcontrollers. Simantic replaces this infrastructure with a custom-built, Rust-based simulation engine designed for high hardware accuracy. At launch, the platform supports widely used microcontrollers including the STM32 series, ESP32, and RP2040, making it accessible for both prototyping and production-grade validation.

By decoupling firmware testing from physical boards, Simantic effectively brings web-development iteration speeds to the hardware stack. This shift is critical for the next phase of AI-assisted engineering, as it provides the necessary virtual environment for autonomous agents to verify their own code in safety-critical industries.