
Simantic
Simantic provides a cloud-based platform that runs real firmware on simulated microcontrollers, eliminating the need for physical hardware during development. The service exposes an HTTP API for CI/CD integration, terminal-based workflows, and AI-agent testing, with a validation engine that compares simulated behavior against real silicon for timing and behavioral fidelity. Every simulation run is reproducible and traceable to the firmware version, hardware target, and simulator version.
- Developer Tools
- Software Only
- Artificial Intelligence
Funding
Raised to date
$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Founders
Founder details are not available yet.
Product
Problem
Embedded systems developers typically need physical hardware to test firmware, which creates bottlenecks in CI/CD pipelines, limits remote collaboration, and slows iteration cycles. Testing every commit against real silicon is often impractical due to cost, availability, and logistics.
Solution
Simantic provides a cloud-based platform that runs real firmware on simulated microcontrollers, eliminating the need for physical hardware during development. The service exposes an HTTP API that enables CI/CD integration, terminal-based workflows, and autonomous testing by AI agents. The simulation engine is rigorously validated against real silicon by running identical firmware on both platforms and comparing results, ensuring behavioral and timing fidelity. Every simulation run is reproducible and traceable to the firmware version, hardware target, and simulator version, giving teams confidence in test outcomes.
Target Audience
Primary customers are firmware engineers and embedded systems teams who need scalable, hardware-free testing for CI/CD pipelines, as well as AI-agent developers building tools that write and verify embedded code.
Features
- Cloud-hosted virtual microcontrollers supporting a range of embedded system configurations, from a single MCU to connected devices
- HTTP API for programmatic access, enabling test-per-commit pipelines and AI-agent-driven verification
- Validation methodology that compares simulated behavior against real silicon, including instruction-level behavior, timing, and repeatability
- Regression testing that deliberately breaks firmware to confirm failures occur for the right reasons, with each discovered gap converted into a test case
- Evidence-linked reporting that shows coverage gaps alongside passing results, traceable to specific firmware, hardware target, and simulator versions
- AI Firmware Code Review via Simantic Bot, which builds firmware in a pull request, runs it in the simulator against scenarios designed from the diff, and posts a review with tested scenarios, findings, and suggested fixes