When software decides whether a cardiac signal is clean, or whether audio evidence holds up in federal court, "it usually works" isn't a specification. ChirpPoint builds deterministic, fully auditable software for medical devices and forensic audio — designed from first principles with IEC 62304 Class C as the goal from the first line of code, with every result traceable and every claim bounded.
A GPU computing system for real-time cardiovascular simulation and medical signal classification, designed from first principles with IEC 62304 Class C as the goal — deterministic execution confirmed on production silicon, April 2026. Regulatory documentation is produced by the same engineering discipline that produces the system, not assembled afterward.
A deterministic, platform-universal engine for precision audio signal analysis, with a mathematically guaranteed, stated error bound. Prism separates each signal into clean and artifact components — clean + artifact = original, within the stated bound, for every input, on every supported platform.
The same properties that create a structural regulatory position in Class C medical software are direct requirements in several non-medical industries — the same problem, in a different regulatory language.
Every standard referenced on this page — IEC 62304 Class C, ISO 14971, the Daubert standard — was a design goal chosen from the first line of code by a single engineer without formal regulatory or legal training. None of it is a conformance finding. No notified body, outside regulatory counsel, or court has independently reviewed this system against these standards.
The standard isn't software that passes tests. It's software whose behavior is fully characterized before a single test is run.
IEC 62304 Class C is an engineering standard that happens to require documentation as evidence — you cannot produce the documentation correctly unless you built the system correctly in the first place. That was the goal ChirpPoint was designed toward from day one: architecture first, tooling in service of it. Whether it fully satisfies the standard is a question for regulatory counsel, not a self-assessment.
On April 8, 2026, the Lattice-Q engine completed its REV 2 verification — 10/10 tests, exactly zero numerical drift, on physical production GPU hardware.
Full architecture, source code, and regulatory documentation are maintained in a controlled disclosure environment — not present on this site. Engagement types: technical evaluation, compliance review, licensing, and investment due diligence.