ChirpPoint Dynamics, LLC  ·  Blaine, Minnesota  ·  Medical Alley

Deterministic.
Auditable.
Acquisition-Ready.

When the software decides whether a patient's cardiac signal is clean — or whether audio evidence holds up in federal court — "it usually works" is not an acceptable specification.

Every serious acquisition reaches the same technical inflection point: the acquirer's regulatory and engineering teams must be able to open the codebase, trace every result to a defined requirement, and independently reproduce system behavior.

ChirpPoint systems are engineered so that this review succeeds on first pass — with deterministic execution, stated error bounds, and complete traceability from specification through verified binary.

This page is a controlled disclosure subset. Full system architecture, algorithmic implementation, and internal design are not disclosed here.

IEC 62304 Class C ISO 14971:2019 Daubert Admissible Patent Pending IEEE 754 Strict NVIDIA Best Practices 2026 Medical Alley Engine Verified · April 2026
Verified Build: CPD-ENG-004/006 · RTX 3080 · April 8, 2026
Documentation Package: IEC 62304 Class C · Complete · Access Restricted · Qualified Parties Under Executed NDA
Designed for environments where verification, repeatability, and controlled disclosure are required.
CPD // SIGNAL SEPARATION MONITOR LIVE ●
Lattice-Q Engine Verified RTX 3080  ·  April 8, 2026   |   10/10 V&V Tests Passed   |   Drift = 0.0000e+00  ·  Bit-Exact   |   Zero Open Anomalies  ·  v3.0.5   |   Physics Validation  ·  Pass
Lattice-Q V&V Result · RTX 3080 · April 8, 2026 · Test Run ID: CPD-ENG-006
Verification Standard: IEC 62304 Class C · Internal Protocol CPD-STVI-001
0.0000e+00
Numerical Drift · All 10 Tests Bit-Exact Reproducibility Binary-Level Precision Verified IEEE-754 Compliance Confirmed Zero Open Anomalies Physics Validation Suite — Pass
Deterministic

Same Input. Same Output. Every Time.

Every ChirpPoint system produces deterministic output — the same input produces the same result on every platform, every run, every driver version — without exception.

Bounded

Stated Error. Independently Verifiable.

Worst-case error is a mathematically established property of the system — not an estimate from a test set. Verification protocol and numerical bounds are available through structured disclosure to qualified parties.

Documented

Every Decision. Every Test. Traceable.

Design History Files, software bills of materials, risk management files, and verification indices. Built to IEC 62304 Class C from the first line of code.

Acquirable

Regulatory Due Diligence. Ready.

No black boxes. No undocumented assumptions. No results that depend on training data or model weights. An acquirer's regulatory team can open the documentation and begin review immediately.

Defensible

Built for the Courtroom and the OR.

Daubert admissibility requires a known error rate, a testable method, and a forensic record. Every Prism processing run satisfies all three as a designed-in system property. Every Lattice-Q result is reproducible to the bit on the hardware it was validated on.

Moat

The Compliance Gap Is Structural.

FDA 510(k) predicate comparison requires a stated, bounded error rate. ChirpPoint systems provide one as a structural property of their design. Systems without this property cannot make the same comparison — this gap is not closable by retraining, tuning, or documentation. It is architectural.

Two Products. One Standard.

Independently Developed.
Not Assembled from Existing Components.

Both products share the same engineering discipline: ground-up design, strict numerical precision, and complete IEC 62304 Class C compliance documentation as a standard deliverable.

Medical GPU Computing

ChirpPoint
Lattice-Q™

The first commercially available, audit-ready unified GPU solver for IEC 62304 Class C medical devices — confirmed on production silicon, April 2026.

A deterministic GPU computing system designed for IEC 62304 Class C environments, unifying real-time hemodynamic simulation and medical signal classification under a single verified FP64 numerical core, with full compliance documentation delivered alongside the system.

✓ 10/10 Tests Passed RTX 3080 Confirmed · Apr 2026 Physics Validation · Pass Patent Pending v3.0.5 · Zero Open Anomalies
  • Bit-exact FP64 reproducibility — 10/10 V&V tests passed, drift = 0, April 2026
  • Physics validation suite confirms correct physical results on real, varying input — not merely reproducible output
  • Fluid simulation engine validated against published reference standards — validation results and reference identity available through structured disclosure
  • Anomaly classification engine confirmed correct output ordering across all input classes — classification methodology not disclosed
  • IEC 62304 Class C compliance package included at delivery — not a consulting add-on
  • IEEE-754 precision compliance enforced by design and independently verified at the binary level — enforcement methodology not disclosed
  • Zero GPL/LGPL contamination in production binary
  • Targets NVIDIA A100, H100, and Blackwell B200 (90 TFLOPS FP64)
  • Full design history, verification logs, and compliance artifacts available through structured disclosure to qualified parties
Request Technical Brief →
Adaptive Audio Intelligence

ChirpPoint
Prism™

The first deterministic, platform-universal engine for precision audio signal analysis — with a mathematically guaranteed, stated error bound.

Prism analyzes each individual signal and determines the representation in which its structure is most precisely captured — automatically, in real time. It separates any audio into clean and artifact components using the signal's inherent properties — not a trained model or fixed filter. The result is a worst-case reconstruction error that is fixed, stated, and independently verifiable. The system is fully deterministic, with behavior reproducible across all supported platforms and inputs. Algorithmic implementation is not disclosed in this document.

Signal Domain Analysis · Conceptual Optimal domain active
Fixed Domain
Prism · Optimal Domain
Confirmed RTX 3080 · Mar 2026 Confirmed Apple M4 · Mar 2026 Patent Pending IEC 62304 Class C
  • Analysis parameters optimized per signal — more precise than any fixed-transform approach
  • Guaranteed reconstruction — clean + artifact = original, within stated bound
  • Error bound holds for any audio input, any duration, on any supported platform
  • No training data — operates on any signal, including signals never encountered before
  • Adaptive processing architecture — implementation specifics not disclosed
  • Multi-platform deployment: GPU · CPU · embedded bare metal — numerically identical output across all environments
  • Daubert admissible — known error rate, auditable, reproducible, forensic audit log on every run
  • Applications: digital stethoscopes, hearing aids, telehealth, forensic audio, professional audio plugin
  • Deterministic execution with complete audit trace per run
Request Technical Brief →
IEC 62304:2006+AMD1:2015 — Class C ISO 14971:2019 FDA QMSR (eff. Feb 2026) FDA Cybersecurity Guidance 2025 MISRA C:2012 IEEE 754-2008 NVIDIA Best Practices 2026 NTIA SBOM Minimum Elements Daubert Admissible Patent Pending
Due Diligence Ready Full Source Audit Available Reproducible Builds Traceability: Requirement → Code → Test → Binary No Black Box Components
Application Domains

Beyond the Operating Room.

The same properties that create a structural regulatory moat in Class C medical software — deterministic output, independently verifiable error bounds, reproducible builds, and complete audit documentation — are direct requirements in several non-medical industries. These are not adjacent opportunities. They are the same problem in a different regulatory language.

Semiconductor Process Engineering

Process Qualification & Simulation

  • Process qualification requires deterministic, node-identical results — the same requirement that drives the medical compliance story
  • Bit-exact numerical reproducibility across compute nodes is a qualification prerequisite under SEMI standards, not a preference
  • Simulation applicable to microfluidic channels and deposition process environments
  • Existing V&V infrastructure, SBOM, and build documentation transfer directly to semiconductor qualification workflows without additional overhead
Energy Storage & Battery R&D

Transport Simulation & Electrochemical Analysis

  • Long-duration transport simulations require precision guarantees that prevent cumulative numerical error from invalidating results — this is a known failure mode in this domain
  • High-precision computation is a hard requirement for resolving physical property boundaries at the microstructure level
  • National laboratory programs actively fund GPU-accelerated simulation tools at this precision level
  • DOE SBIR pathways are open with current validation posture and documentation
Aerospace — Low-Speed Applications

Aerodynamic & Thermal Simulation

  • Deterministic GPU simulation applicable to UAV aerodynamics, internal cooling flow, and avionics thermal management
  • Bit-exact reproducibility is a direct DO-178C airborne software parallel — the motivations and documentation demands are structurally identical
  • Existing SBOM, V&V suite, and compliance infrastructure map directly to DoD SBIR technical proposal requirements
  • TRL 4–5 positioning with full documentation is stronger than the majority of DoD SBIR applicants at this stage
Industrial Manufacturing

Anomaly Detection & Process Monitoring

  • GPU-accelerated classification of high-dimensional sensor data — vibration, acoustic, thermal, spectroscopic — for anomaly detection and predictive maintenance
  • Probabilistic, quantified uncertainty output — not a binary threshold — enables graded response to novel failure modes
  • Bit-exact reproducibility enables ISO 9001 and TS 16949 qualification of the classification system itself
  • A non-deterministic classifier cannot be validated under either standard — this is a structural barrier for alternative approaches
Pharmaceutical Manufacturing

Process Analytical Technology & Bioreactor Simulation

  • Deterministic simulation and classification capabilities operating in concert on a single system — real-time process monitoring and control
  • Pharmaceutical manufacturing application, not a clinical device — no FDA 510(k) required
  • Existing IEC 62304 documentation discipline maps directly to FDA PAT validation under 21 CFR Part 211
  • The compliance infrastructure already built is a competitive differentiator for this customer, not an overhead cost
Industrial Infrastructure

Real-Time Digital Twin Components

  • Simulation and classification capabilities operating in concert, updated in real time from live sensor streams
  • Digital twin model validation requires identical results on the engineering workstation and the plant-floor system — a hard validation requirement, not a preference
  • Applicable to HVAC, cooling systems, water treatment, and chemical process environments
  • Deterministic behavior is the difference between a validatable digital twin and an unvalidatable one
The Compliance Advantage Transfers

The IEC 62304 Class C documentation suite included with every Lattice-Q™ delivery — Design History Files, SBOM, threat model, V&V suite, tool validation index — maps directly to the verification and qualification requirements of semiconductor (SEMI), aerospace (DO-178C), nuclear (10 CFR 50 Annex B), and pharmaceutical (21 CFR Part 211) regulation. An acquirer in any of these markets inherits a fully documented, audit-ready system. The compliance work is already done.

Technical implementation, system architecture, and algorithmic detail are not disclosed in this document. Access is restricted to qualified parties under executed mutual NDA. This page is a controlled disclosure subset.
Technical Overview

For Engineers, Architects,
and Regulatory Teams.

This section presents a limited, controlled view of architecture and verified results. Core algorithmic implementation, internal design, and numerical bounds are not present in this document.

Architecture, verification structure, and confirmed results are presented at a high level. Detailed algorithmic behavior, validation datasets, and source-level artifacts are maintained in a controlled disclosure environment and available through structured disclosure to qualified parties as part of formal technical evaluation.

Controlled Disclosure Notice: This section is intentionally limited to architectural and verification-level visibility. Full implementation detail, numerical bounds, and system internals are accessible through the ChirpPoint formal disclosure process.

The following represents a controlled subset of materials available during formal technical and regulatory due diligence. Full detail requires executed NDA.

IEEE-754 precision compliance is enforced at the binary level and independently verified against the compiled output. The specific enforcement mechanisms, compiler constraints, and audit methodology are not disclosed in this document — they are available through structured disclosure as part of the formal technical evaluation process.

// AUDIT RESULT — CPD-ENG-004/006 — April 2026
PRECISION COMPLIANCE: CONFIRMED
APPROXIMATION ARTIFACTS: NONE DETECTED
IEEE-754 ROUND-TO-NEAREST: CONFIRMED ALL OPERATIONS
// Full audit methodology and raw results withheld · Available through structured disclosure

The documentation set listed below exists and is maintained in a review-ready state. Each item is a confirmed deliverable. Content, structure, and version history are not disclosed in this document — access is restricted to qualified parties through formal evaluation processes.

Document set is maintained in parallel with development and version-controlled. All items listed are available through structured disclosure.

CPD-DHF-003/004/005/006 · Design History Files
CPD-STVI-001 · Software Tool Validation Index
CPD-RISK-001 · ISO 14971 Risk Management File
CPD-SBOM-002 · SBOM v2 · NTIA Format
CPD-IP-REGISTER-002 · IP Register
CPD-THREAT-001 · STRIDE Threat Model Report
CPD-UEF-001 · Usability Engineering File · IEC 62366
CPD-EU-001 · EU MDR Annex II Mapping
CPD-PMS-001 · Post Market Surveillance Plan
CPD-TRL-001 · Technology Readiness Level Schedule
CPD-API-001 · Doxygen API Documentation · Full Codebase
CPD-BUILD-001 · Build, Install & Test Guide v3
CPD-510K-PREP · FDA 510(k) Submission Prep

Ten verification tests were run on physical NVIDIA GPU hardware under documented conditions (CPD-ENG-006). All tests passed. Numerical drift across all tests: exactly zero. Full test report, raw output logs, and hardware configuration are available through structured disclosure to qualified parties.

Platform
NVIDIA RTX 3080
Physical production hardware · not emulated · full configuration detail available through structured disclosure
Result
10 / 10 Passed
Drift = 0.0000e+00 on all tests · Bit-exact reproducibility confirmed
Anomalies
Zero Open
v3.0.5 · All prior anomalies resolved · Zero deferred items · Anomaly register available through structured disclosure
Documents
Restricted · Under Executed NDA
Full test report, raw output logs, hardware configuration, and verification index available through structured disclosure to qualified parties

The IEC 62304 V&V suite confirms determinism and reproducibility — that the same input produces the same output. The physics validation suite confirms something distinct and additional: that the engine produces correct physical results on real, varying input. Reproducible wrong physics would pass V&V and fail physics validation. Both suites are required for medical deployment confidence.

Fluid Simulation Engine
Validation Pass
Validated against published reference standards. Confirmed convergence to physically correct steady-state result. Validation identity and parameters available through structured disclosure.
Anomaly Classification Engine
Validation Pass
Correct output ordering confirmed across all input classes. Classification methodology and reference identity available through structured disclosure.
Benchmark Basis
Peer-Reviewed Literature
Both systems validated against published reference standards. Full citations, test programs, and raw output available through structured disclosure.
Distinction
Beyond Reproducibility
V&V confirms the engine is deterministic. Physics validation confirms the engine is correct. Both properties are required. Both are now confirmed.

FDA 510(k) clearance for Class II medical devices requires demonstrating substantial equivalence to a predicate device — including a comparable, stated error profile. ChirpPoint systems provide a bounded, stated worst-case error as a structural property. Alternative approaches based on learned inference cannot provide this property and cannot make the same predicate comparison.

This is not a minor regulatory detail. It is the reason ChirpPoint was designed this way from the first line of code — and the reason the regulatory pathway is available at all.

ChirpPoint Systems
510(k) Compatible
Bounded error as a structural property · predicate comparison possible · error behavior independent of input distribution
Learned Inference Approaches
510(k) Structurally Limited
Performance characterized from test sets only · no stated worst-case error · input distribution shift not detectable
Engineering Philosophy

Why Transparency Is the Strategy.

The medical device and forensic audio industries are converging on the same regulatory requirement: deterministic results with a known error rate. ChirpPoint was built for exactly this moment.

01

Bounded Error. Stated. Verifiable.

Systems that cannot state a worst-case error cannot satisfy the fundamental requirement of Class C patient safety software. ChirpPoint systems provide a defined, bounded error property by design — verifiable by any qualified evaluator through structured disclosure.

02

Verified at the Binary Level

IEEE-754 precision compliance is independently verified against the compiled output — not claimed at the source level. Enforcement mechanism and audit methodology are not disclosed in this document.

03

Documentation as Engineering

Design History Files, risk management files, software bills of materials, and verification indices are built in parallel with the code — not generated at the end. They are as engineered as the algorithms.

04

The Regulatory Moat

A deterministic algorithm with a stated error rate can be submitted for FDA 510(k) review using a predicate device comparison. A neural network cannot make that comparison. This is a structural market position.

05

Designed for the Hardware That Matters.

Lattice-Q is engineered specifically for NVIDIA GPU hardware — targeting the B200, H100, and A100 — with direct, unmediated access to the silicon. Prism targets GPU, CPU, and ARM bare metal through a single API, with numerically identical output across all three. Implementation architecture is not disclosed in this document.

06

Acquisition-Ready by Design

Every decision is traceable. Every result is reproducible. Every document is ready for regulatory due diligence. An acquirer does not inherit a black box — they inherit a fully auditable system.

About ChirpPoint Dynamics

Engineering Discipline as Institutional Standard.

The standard is not software that passes tests.
The standard is software that cannot fail the tests that matter.

ChirpPoint Dynamics was founded on a straightforward conviction: the most demanding customers in the world — the ones whose software decisions affect whether patients live or die, or whether evidence holds up in court — deserve software built to match that standard.

The first approach produces products that work in the lab. The second produces products that work in the operating room and the courtroom. On April 8, 2026, the Lattice-Q engine completed its REV 2 validation — 10/10 V&V tests at exactly zero numerical drift, plus a physics validation suite confirming correct physical results against peer-reviewed benchmarks. That combination is not a performance claim. It is documented, reproducible engineering, confirmed in silicon.

The system is built using an architect-first methodology, where all constraints — numerical, regulatory, and system-level — are defined prior to implementation: automated tools serve the architecture. They do not define it.

Lucas J. Cannon
Founding and Managing Member  ·  Chief Architect  ·  Blaine, Minnesota

2
Products confirmed working
Class C
IEC 62304 safety class — both products
10/10
Lattice-Q V&V tests passed · Apr 2026
0
Black boxes. Zero undocumented assumptions.
3
Prism deployment targets — single integration point
0
Open anomalies · v3.0.5
Medical Alley
Minnesota's U.S. Commerce-Designated MedTech Tech Hub · 530+ device companies · MSP metro
Controlled Disclosure

Technical Due Diligence Materials

ChirpPoint maintains a complete, audit-ready documentation and verification package. Access is provided to qualified parties through formal evaluation and disclosure processes.

System & Source
  • Full source code (CUDA, CPU, embedded) — access restricted
  • Build system and reproducible build scripts
  • Compiler configuration and precision enforcement records
  • Platform-specific implementations — architecture not disclosed in this document
Verification & Testing
  • Complete V&V test suite and execution logs
  • Physics validation suite and benchmark comparison results
  • Hardware configuration records (GPU/CPU targets)
  • Deterministic reproducibility validation artifacts
Compliance & Documentation
  • IEC 62304 Class C Design History Files (DHF-003 through DHF-006)
  • ISO 14971 risk management file with quantified risk scores
  • IEC 62366 Usability Engineering File
  • EU MDR Annex II technical documentation mapping
  • Post Market Surveillance Plan
  • Software Bill of Materials v2 (NTIA format)
  • STRIDE Threat Model Report (FDA Cybersecurity Guidance 2025)
Traceability & Audit
  • Requirement → implementation → test trace matrix
  • Binary-level precision audit results and compiler verification records
  • Doxygen API documentation — generated from full codebase
  • Software Tool Validation Index (STVI) — all development tools validated
  • Error bounds and numerical behavior documentation
  • Versioned build artifacts corresponding to test runs
Controlled Disclosure: Full source code, verification logs, test artifacts, and compliance documentation are maintained in a review-ready state and are made available to qualified parties through structured disclosure as part of formal due diligence.
Engagement

ChirpPoint Systems Are Available for Formal Evaluation.

This page represents a controlled disclosure subset. Full system detail, source code, and compliance documentation are accessible only to qualified parties through formal evaluation processes. Engagements are available for technical evaluation, licensing, strategic acquisition, and regulated platform integration.

Technical Review

Request a Technical Brief

This is the entry point. Full system architecture, algorithmic implementation, source code, compliance documentation, and confirmed V&V results are not disclosed in this document. Access is restricted to qualified parties under executed mutual NDA as part of formal technical and regulatory due diligence.

Inquiry types: technical evaluation, licensing, strategic acquisition, government contracting, and investment.

Access beyond this document is restricted to formal evaluation processes. No source code, algorithms, financial details, or implementation specifics appear on this website. This document is a controlled disclosure subset.
Contact

Lucas J. Cannon

Founding and Managing Member
ChirpPoint Dynamics, LLC

Patent Pending · IEC 62304 Class C · Daubert Admissible