An artificial engineering
super-intelligence for
control software^
Hyperpilot^ is a platform of three one-shot AI engines that take a controls-engineering project from high-level intent to production-grade software. Powered by a foundation model that discovers algorithms — not an LLM.
Each engine takes a structured input and emits a structured output. No chat. No back-and-forth. Submit a job — get a result.
regulations · or legacy code
Generates a system architecture and fully decomposed traceable requirements. From prompts, data sheets, standards, even code.
from Req.Gen^
Authors complete executable test suites that exhaustively verifies every last requirement. SiL, HiL, Bench, or Product-level Testing.
from Test.Auth^
Discovers a control algorithm that passes 100% of the test suite, guaranteed — no human in the loop. Don't be scared.
Where each engine sits on the V — and how autonomously it runs.
The three engines map onto the V-model of controls engineering. The V-model used to be an unfortunate by-product of a robust and safe engineering process; now, it's the reason you can scale.
The subjective transforms into objective — Agentic LLMs take the pain out of going from a high level down into detailed requirements and tests. Months of work reduced to a final pass of approval.
The implementation node. Powered by our algorithm-discovery foundation model — submit, ship, no human in the loop.
The “What” and “Why” of the product, plus final approval that it’s fit for purpose, stays with people.
An algorithm discovery foundation model.
SW.Syn^ is built on a new class of foundation model — one that searches the space of algorithms directly. Its search space is unbounded and application-agnostic, where an LLM's is bounded by the public code it was trained on. Production controls software isn't public — which is why LLMs struggle with this job.
The full pipeline,
start to ship.
A four-minute walkthrough of Req.Gen^ → Test.Auth^ → SW.Syn^ on a real problem.