Simantic (YC F26) – Firmware Simulation for AI Agents
Hi HN, we're Ahnaf and Seungmin from Simantic (https://simantic.com). We are building the simulation layer that lets engineers and AI agents test and validate firmware without hardware.Before Simantic, we were ex-firmware engineers at companies like Neuralink and Tesla. We’ve worked on some of the coolest projects, like the Cybertruck and Roadster, back when they were still early prototypes.We started working on firmware back when ChatGPT didn’t exist yet, but over the years, we saw how much of the engineering and development work has been automated as the frontier models improved to this point. In software, AI can run and test code inside your computer in a matter of seconds. But as firmware engineers, we didn’t have that luxury. An AI agent can write firmware in seconds, but in order to test it, we had to flash a physical board, then manually run tests using expensive and clunky tools with software made over a decade ago.To speed up the validation loop, we built the simulation layer that lets AI agents test the firmware and make decisions based on evidence, instead of waiting for the engineer to run tests for them. We used to spend hours testing our firmware manually on devboards, but now we use our own simulation to validate firmware in seconds.What we offer: - Virtual devboards you can program and run with a single API call, without leaving your terminal. - An AI code reviewer for firmware, that makes informed decisions based on evidence, using our simulation as a verification engine. - A CI/CD pipeline for your hardware projects that validates your firmware against a simulated version of the microcontroller on every commit.Here is a demo of our simulation used in an AI code review session: https://www.youtube.com/watch?v=kBK1ZjGWWbQOur users are using Simantic for bare-metal and RTOS development for applications like flight controllers, electric vehicles, robotics, and satellites. For safety critical systems like avionics and
FL score
out of 100
Verdict
high confidence
Competition
No competitor data yet
Trend
No signal yet
Simantic provides a firmware simulation platform that lets AI agents and engineers test and validate firmware instantly without physical hardware.
The pain
The gap
Build angle
Strengths
- Founders have deep domain expertise from top hardware companies
- Clear, painful problem with measurable time and cost savings
- Early traction in safety-critical and complex hardware sectors
- Combines AI and simulation in a novel way for firmware
Risks
- Niche market with potentially slow adoption outside specialized industries
- Technical complexity in accurately simulating diverse hardware
- Dependence on customers' willingness to trust simulation over physical testing
- Potential competition from established hardware tool vendors or new AI startups
Fly Labs Method
Is the pain real, is there a gap, is it the right time, can one person build it.
- Problem clarity
- 90
- Solution gap
- 85
- Willingness to pay
- 80
- Buildability
- 85
The pain of slow, manual firmware testing is clear, the simulation solution fills a real gap, customers in specialized fields are likely to pay, and the founders have the technical background to build it.
Value Equation
Dream outcome and how likely it feels, against the time and effort it costs.
The idea addresses a painful, time-consuming problem with a clear value proposition and a measurable ROI for firmware engineers and companies building hardware products.
One-Person Business
Curiosity pull, identity fit, and a path from free value to paid for a solo creator.
The market is niche but growing, the founders have relevant domain expertise, and the product fits well with AI-driven automation trends, though adoption may be gradual due to hardware complexity.
Viral Frameworks
Hook strength, shareability, and how cheaply it can be tested.
The solution is technically feasible and leverages AI to improve firmware development cycles, but scaling beyond early adopters in specialized industries may require significant effort.
Builder Lens
Evidence the problem exists, timing, defensibility, and a model that fits on a napkin.
The founders have strong domain expertise and a clear vision, the product solves a bottleneck in firmware development, and early users in high-stakes industries validate the need.
Five lenses, one composite. How scoring works
The angle
No market research recorded for this idea yet.
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