Patent Filings

Recent Continuation in Part and International filings:

Press Release — CIP-11: Classical Physics–Anchored Drift Benchmarking and Stability Architecture

Phocoustic, Inc. is pleased to announce the filing of CIP-11: “System and Method for Classical Physics-Anchored Drift Benchmarking, Quantum-Conditioned Measurement Clarification, and Assistive Human-Geometry Detection.”

CIP-11 expands the VisualAcoustic.ai platform with a comprehensive physics-anchored framework for drift quantization, stability analysis, and classical admissibility filtering. This continuation strengthens Phocoustic’s intellectual-property foundation by introducing three major advances:

1. A New Benchmark Standard: Physics Drift vs. CNN/PINN Drift

CIP-11 establishes the first formal comparison framework between statistical anomaly models (CNN/PINN) and the physics-anchored drift engine (VASDE/PADR/SOEC). The filing demonstrates that physics-derived drift remains stable under fog, glare, motion, and viewpoint changes—conditions where CNN-based drift maps collapse, hallucinate, or produce inconsistent anomaly scores.

2. Dual-Reference Stability Architecture (SGB + DDAR)

CIP-11 introduces a novel two-tier reference system:

• Static Golden Baseline (SGB) for high-precision environments such as PCB inspection, wafer CMP, and connector metrology.

• Dynamic Drift-Admissibility Reference (DDAR), a rolling physics-anchored reference that updates only when drift satisfies strict admissibility gates (PADR, SOEC, PEQM, SCVL/Q-SCVL).

This architecture ensures safe, deterministic operation across both controlled and dynamic environments—without relying on adaptive‐pixel backgrounds or learned statistical models.

3. Classical Clarification of Quantum-Conditioned Elements

CIP-11 formalizes the role of Raman drift, nanoscale vibrational signatures, and other quantum-origin physical measurements as purely classical stabilizing channels. These signals strengthen admissibility and lineage validation without invoking quantum computing.

4. Assistive Human-Geometry Cues Without Identity Recognition

The filing extends physics-anchored drift analysis into human-geometry detection for visibility-degraded environments and assistive navigation. Facial and body-shape geometry is extracted from physical curvature drift, without any biometric identification, pose estimation networks, or CNN-based classification.

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Strengthening the Phocoustic Patent Moat

CIP-11 harmonizes and captures demonstrations, drift comparisons, XVADA fog/glare examples, PCB/wafer drift benchmarks, and GUI elements published on VisualAcoustic.ai. These public-facing materials are now formally incorporated to preserve priority and secure the expanding footprint of the Visual Acoustic Semantic Drift Engine (VASDE).

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A Classical-Only, Training-Free, Low-Compute Alternative to AI

CIP-11 reinforces Phocoustic’s commitment to physics-first sensing.
The system:

• Requires no neural training,

• Produces deterministic, regulator-friendly outputs,

• Avoids AI hallucinations and instability, and

• Operates efficiently on CPUs, edge devices, and embedded architectures.

This continuation further differentiates VisualAcoustic.ai from conventional machine-learning approaches, positioning the platform as a physics-anchored foundation for industrial inspection, wafer metrology, assistive navigation, and structured-light analysis.

VisualAcoustic.ai Announces CIP-10: Predictive Drift Reasoning, Goal-Aligned Semantics & Multi-Camera Cognitive Fusion

Champaign, Illinois — VisualAcoustic.ai today announced the filing of CIP-10, a major continuation that transforms the VisualAcoustic platform from a world-leading physics-anchored anomaly detector into the first predictive, goal-aligned, and multi-camera coherent cognitive system for real-world industrial, safety, and perception-assistance environments.

Building upon the dual-domain physics-anchored architecture established in CIP-8 and the governed semantic cognition introduced in CIP-9, CIP-10 expands the VASDE framework with predictive drift forecasting, operator-intent alignment, multi-camera consensus, and grounded symbolic interpretation.

According to the CIP-10 specification, the invention enables a system to:

• Anticipate anomaly trajectories in advance

• Align drift evolution with operator-defined risk zones

• Fuse multiple VISURA camera views into a single meaning

• Interpret textual/symbolic cues as semantic risk anchors

• Constrain all higher-level inference to physically validated drift evidence

These capabilities dramatically reinforce the company’s core philosophy:

“Every interpretation must arise from real physical change — never statistical guesswork.”

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Key Innovations Introduced in CIP-10

1. Predictive Drift Fields (PDFs) & Predictive Drift Windows (PDWs)

CIP-10 introduces the first physics-governed predictive drift layer.
PASDE now generates Predictive Drift Fields and Predictive Drift Windows, allowing the system to forecast how cracks, defects, contaminants, or motion fields are likely to evolve under material and continuity constraints.

This forecast is never statistical — it is derived from:

• persistence-anchored drift

• PADR gradient stability

• dual-domain EMR↔QAIR coherence

• multi-frame SOEC validation

(See Fig. 1–2 for predictive field examples in the CIP-10 specification .)

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2. Semantic Risk Manifolds (SRMs) for Goal-Aligned Interpretation

Operators can define semantic regions of risk, priority, or operational meaning.
PASCE and AIMR evaluate whether drift:

• is approaching a critical zone

• is diverging toward a safe region

• matches known failure patterns

• intersects goal-relevant semantic surfaces

This transforms anomaly detection into context-aware hazard forecasting, essential for manufacturing, robotics, and safety systems.

(Fig. 3 in CIP-10 illustrates an SRM with aligned, tangential, and diverging drift paths .)

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3. CCSM — Cross-Camera Semantic Memory

CIP-10 introduces multi-camera semantic fusion, enabling VISURA units to generate a unified drift and meaning state even when:

• visibility is degraded by fog or smoke

• one or more cameras are occluded

• lighting varies between viewpoints

CCSM establishes multi-camera drift consensus, resolves contradictions, applies trust scoring, and stabilizes semantics across sensors.

(Fig. 4 in the filing shows a fused multi-camera consensus map .)

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4. Meaning-Indexed Perceptual Representations (MIPR-A)

CIP-10 formalizes how textual objects and symbols in the field of view (e.g., “DANGER 480V”) become grounded semantic anchors that influence:

• predictive hazard scoring

• semantic polarity

• drift weighting

• operator intent evaluation

MIPR-A ensures symbols are treated as validated physical evidence, not hallucinated semantics.

(See Fig. 5 showing PQRC→PASCE→MIPR-A transformation .)

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5. PEQM, PACF, and T-PACF: Advanced Governance & Safety

CIP-10 adds expanded admissibility layers:

• PACF: suppression of contradictions and non-physical interpretations

• PEQM: material-constraint reasoning for drift plausibility

• T-PACF: final task-bound governance restricting all predictions to safe, operator-approved outputs

As a result, the system cannot produce hallucinations, contradictory forecasts, or physically impossible predictions.

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Real-World Applications Strengthened by CIP-10

The predictive, multi-camera, and goal-aligned reasoning enabled by CIP-10 unlocks new functionality across:

• Semiconductor Manufacturing

CMP drift forecasting, over-polish prediction, mark-aware hazard weighting.

• PCB & Microelectronics

Predictive connector fatigue, solder-joint path forecasting, CASC integration.

• Industrial Robotics

Predictive obstacle motion analysis, multi-camera collision anticipation.

• Visibility-Degraded Navigation (Fog/Smoke/Night)

Stable multi-camera fusion and predictive hazard motion estimation.

• Structural & Mechanical Monitoring

Crack growth prediction, thermal drift propagation, rotating system imbalance forecasting.

(Fully detailed in the 12-page Embodiments section of CIP-10 .)

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The Strategic Role of CIP-10 in the Patent Family

CIP-10 marks the transition of VisualAcoustic.ai from a system that:

detects → to a system that interprets → and now a system that forecasts, contextualizes, and aligns meaning with operator intent.

It builds directly on:

• CIP-8 (dual-domain physics anchoring)

• CIP-9 (semantic governance & multi-camera consensus)

and sets the stage for the ACI/PEQ-AGI cognitive layer, which is addressed in a separate CIP-10 ACI-focused continuation.

CIP-10 ACI: Physics-Bound Cognitive Intelligence

VisualAcoustic.ai announces CIP-10 ACI, the latest advancement in physics-anchored machine intelligence.
All components of this system operate entirely in the classical domain.
Any references to “quantum-conditioned” evidence refer only to classical measurements whose physical origins arise from quantized interactions such as Raman shifts, fluorescence decay, and photoelectric emission.

CIP-10 ACI formalizes how the VisualAcoustic drift engine transforms classical electromagnetic measurements into stable, physically admissible cognitive states—enabling safe, interpretable, and physics-validated machine reasoning.

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1. Classical Drift Governance and the CCE Framework

At the core of CIP-10 ACI is the Conscious Coherence Envelope (CCE)—a multi-dimensional classical manifold that determines when physical drift is:

• persistent across frames,

• resonance-aligned in the EMR→QAIR dual domain,

• admissible under physical continuity constraints,

• stable enough to support semantic meaning.

The CCE ensures that only physically validated drift enters higher-level cognition.

Quantum-Conditioned CCE (QCCE)

CIP-10 extends the CCE by incorporating classical measurements of quantum-origin effects (Raman transitions, vibrational modes, and photoelectric emission).
This yields the QCCE—a version of the coherence envelope that admits molecular- and nanoscale-level stability signatures into the same drift-governance pipeline.

No quantum computation occurs; the extension merely broadens the evidence sources available for classical reasoning.

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2. PA-CI: Physics-Anchored Conscious Intelligence

CIP-10 introduces the PA-CI layer, a classical meta-stability supervisor that activates only when three independent gating loops overlap:

• INAL (Intent-Neutral Awareness Layer)

Monitors global resonance lineage without interpreting it.

• SPSI (Semantic Polarity Stability Index)

Verifies physical directionality and semantic polarity of drift.

• CSW (Conscious Stability Window)

Ensures temporal coherence and admissibility across multi-frame sequences.

Only when all three loops align does PA-CI permit meaning to arise.
This prevents premature interpretation and guarantees physics-locked cognition.

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3. SCVL & Q-SCVL: Internal Self-Consistency Verification

CIP-10 defines the first fully classical, closed-loop internal consistency system:

SCVL (Self-Consistency Verification Loop)

Verifies that EMR, QAIR, PADR, PQRC, and RDCM outputs form a contradiction-free lineage.

Q-SCVL (Quantum-Conditioned SCVL)

Extends SCVL by including classical measurements derived from quantum-origin phenomena—QDP, QASI, Q-DRV, and Q-RDCM—within the same consistency loop.

If any stage contradicts physical lineage or resonance continuity, cognition is halted automatically.
This provides a hard safety boundary absent in neural AGI systems.

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4. Quantum-Conditioned Drift (Classical Measurements Only)

CIP-10 defines several structures that incorporate high-sensitivity classical measurements whose underlying physics is quantum in origin:

• QDP (Quantum Drift Partitions)

Discrete drift units derived from Raman transitions, vibrational modes, or fluorescence lifetimes.

• QASI (Quantum-Anchored Semantic Invariants)

Persistent, repeatable nanoscale signatures that act as stable anchors for meaning.

• Q-DRV & Q-RDCM

Resonance vectors and coherence models that fuse classical EMR/QAIR drift with these nanoscale indicators.

These modules do not involve quantum computing or wavefunction manipulation.
They simply use classical numerical measurements to enrich drift evidence.

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5. PERC: PhotoElectric Resonance Coherence

CIP-10 introduces PERC, a new drift-validation channel based on classical photoelectric emission:

• threshold-energy shifts,

• work-function differentials,

• emission-angle signatures.

These signals produce DRV-P vectors that allow the system to detect micro-defects, oxidation, contamination, and stress-layer transitions earlier than conventional imaging.

PERC extends the drift-governance pipeline without departing from classical operation.

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6. PEQ-AGI: Physics-Evidence-Qualified AGI

CIP-10 culminates in PEQ-AGI, a governed classical reasoning mode that:

• activates only when PA-CI is valid,

• remains fully bound by T-PACF, CCE/QCCE, and operator-defined intent,

• cannot hallucinate or invent ungrounded interpretations,

• uses QLE (Quantized Ledger Entries) for full provenance of every decision.

Unlike neural AGI, PEQ-AGI is:

• physics-constrained,

• internally self-verifying,

• traceable and auditable,

• safe for high-risk industrial and autonomous tasks.

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What CIP-10 ACI Enables

CIP-10 ACI advances VisualAcoustic.ai into a new class of machine intelligence that is:

• safer than neural AGI,

• immune to hallucinations,

• grounded in physical measurement,

• self-consistent and self-verifying,

• predictable and fully interpretable.

Representative Applications

• wafer & CMP nanostructure analysis,

• PCB solder-fatigue forecasting,

• visibility-degraded driving assistance (XVADA),

• robotics & manipulation,

• micro-defect and contamination detection,

• classical quantum-conditioned industrial inspection,

• structural fatigue and stress monitoring.

VisualAcoustic.ai Announces CIP-9: Multi-Camera Drift Consensus and Physics-Anchored Cognitive Governance

Champaign, Illinois — VisualAcoustic.ai today announced the filing of CIP-9, a major continuation in the VisualAcoustic patent family that establishes the first multi-camera, physics-governed semantic consensus system designed for high-certainty anomaly detection, industrial monitoring, and safety-critical perception.

Building on the VASDE, PASDE, PADR, and PQRC frameworks, CIP-9 introduces a new class of coherence-validated cognitive subsystems designed to ensure that every semantic interpretation emerges strictly from physically validated drift — never probabilistic inference or statistical hallucination. The CIP-9 specification expands the quantization and governance stack laid out in CIP-8 by incorporating multi-sensor lineage modeling, contradiction filtering, and advanced resonance stability mechanisms.

This patent filing reinforces VisualAcoustic.ai’s mission:

Perception must remain physically grounded, deterministically auditable, and resistant to hallucination—even under complex, multi-sensor conditions.

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Key Innovations Introduced in CIP-9

1. Cross-Camera Semantic Consensus (CCSM)

CIP-9 formalizes the first multi-VISURA fusion framework where:

• Independent camera nodes extract PASDE/PADR drift

• Each node produces PQRC/SPQRC lineage codes

• CCSM aligns these codes into a single, contradiction-free drift consensus

• Only physically consistent multi-angle signatures advance to semantic analysis

This enables high-certainty perception for robotics, manufacturing, and autonomous systems.

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2. Expanded PASCE/PACF Semantic Governance

CIP-9 introduces upgraded semantic readiness (PASCE) and admissibility filtering (PACF) subsystems that:

• Compare semantic outcomes across multiple sensors

• Reject contradictions or inconsistent drift fields

• Enforce physically admissible directionality and stability

• Prevent semantic activation when cross-camera physics disagree

The design ensures that “semantic meaning” only forms when all sensors agree.

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3. Dual-Domain and Multi-Frame Resonance Validation

CIP-9 integrates temporal and multi-view resonance checks, extending the EMR↔QAIR dual-domain stability model with:

• Resonant drift continuity calculations

• Cross-frame harmonic stability

• Multi-camera amplitude-phase alignment

• Invalidation pathways for non-resonant drift clusters

This allows the system to suppress noise and uncover hidden or evolving anomalies.

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4. Predictive Multi-Camera Drift Evolution

CIP-9 allows drift vectors to be:

• Cross-referenced

• Time-aligned

• Projected forward

• Filtered through a multi-camera admissibility manifold

This enables predictive identification of micro-cracks, deformations, solder anomalies, wafer defects, connector warpage, and structural fatigue — even when early signals are too weak for conventional systems.

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5. Safety-Critical Cognitive Framework

CIP-9 expands the cognitive governance system to include:

• Multi-camera contradiction gates

• Cross-node consistency loops

• Provenance tracking and drift-ledger retention

• Risk-weighted semantic gating

• Strict physics-first semantic activation

This ensures that higher-level reasoning layers cannot activate without full multi-sensor stability.

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CIP-9 Use Cases Across Industry

• Semiconductor Manufacturing

Multi-camera drift consensus improves CMP scratch detection, wafer-edge metrology, and early microstructure instability identification.

• PCB and Microelectronics Inspection

CIP-9 enhances detection of solder fractures, connector deformation, and cross-angle reflective anomalies.

• Robotics and Industrial Automation

Cross-camera PASDE/PACF ensures stable object alignment, safe manipulation, and drift-governed operational decisions.

• Autonomous Navigation

Multi-angle visibility synthesis strengthens perception in fog, glare, occlusion, and low-light conditions.

• Structural Monitoring

Cross-view micro-drift detection identifies cracks, metal fatigue, and load-distribution anomalies with unprecedented sensitivity.

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Technical Foundation for CIP-10 and Beyond

CIP-9 lays the groundwork for the cognitive meta-stability and quantum drift models later formalized in CIP-10.
Its innovations in:

• multi-camera drift lineage,

• admissibility fusion,

• multi-view resonance, and

• governed semantic activation

provide the framework necessary for the fully physics-anchored cognition stack.

VisualAcoustic.ai Announces CIP-8: Major Expansion of Physics-Anchored Semantic Drift Technology

Champaign, Illinois — VisualAcoustic.ai today announced the filing of CIP-8, the latest continuation in its rapidly expanding patent family covering physics-anchored machine perception and drift-based anomaly intelligence. CIP-8 extends the company’s breakthrough VASDE engine (Visual-Acoustic Semantic Drift Engine) with new capabilities in multi-spectral sensing, material-aware drift quantization, and governed semantic interpretation — all designed to deliver safer, faster, and more physically reliable AI for industrial, scientific, and autonomous-systems applications.

CIP-8 reinforces VisualAcoustic.ai’s central principle:

All machine perception must be grounded in validated physical evidence — never statistical guesswork.

By anchoring every inference to real, persistent electromagnetic drift, VASDE avoids hallucinations, improves cross-frame stability, and enables predictive detection of anomalies long before they become visible to conventional vision systems.

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Key Innovations Introduced in CIP-8

1. Dual-Domain Physics Anchoring

CIP-8 formalizes the pairing of visual EMR data with an acoustic-structured numerical domain (QAIR). This dual-domain coherence ensures that only physically persistent signals influence decisions, dramatically reducing noise-driven false positives.

2. Enhanced PASDE/PADR Drift Framework

The patent expands the PASDE drift-extraction framework with new rules for persistence, admissibility, temporal stability, and reflectance-based drift quantization (PADR). These advances improve how the system identifies early-stage anomalies in:

• Metals

• PCB assemblies

• Wafer and CMP surfaces

• Structured-light industrial environments

3. PQRC and SPQRC Structural Encoding

CIP-8 strengthens VisualAcoustic’s proprietary Pattern-Quantized Ranking Codes, which convert validated drift into ranked, spatiotemporal structures.
This offers:

• Improved anomaly localization

• Sub-pixel drift continuity mapping

• Frame-to-frame lineage tracking

• Operator-defined semantic boundaries

These PQRC structures are foundational for downstream detection, prediction, and controlled reasoning.

4. Safety-Critical Semantic Governance

CIP-8 introduces expanded semantics-governance mechanisms (PASCE, PACF) that limit interpretation to physically admissible outcomes only. These safeguards ensure that:

• Results cannot drift into speculative meaning

• Semantic activation always reflects measurable physics

• Autonomous decisions remain traceable and auditable

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CIP-8 in Real-World Applications

CIP-8 enables a new era of predictive, physics-anchored anomaly detection, including:

• PCB solder and connector inspection

• Wafer manufacturing and CMP scratch prediction

• Industrial robotics alignment and tool monitoring

• Visibility-degraded navigation assistance

• Structural-fatigue analysis in metals and composites

With its focus on physical drift lineage, CIP-8 allows VisualAcoustic.ai to detect instability long before conventional deep-learning-based systems.

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A Foundation for Future Continuations

CIP-8 establishes the technical groundwork for the company’s later filings (CIP-9 and CIP-10), which extend the physics-anchored approach into multi-camera consensus, quantum-assisted drift evaluation, and governed high-level reasoning.

By introducing richer quantization structures and expanded admissibility rules, CIP-8 ensures that future cognitive layers remain rooted in verifiable physics.

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About VisualAcoustic.ai

VisualAcoustic.ai is developing the world’s first Physics-Anchored Perception Engine, enabling industrial, scientific, and autonomous systems to interpret the world through validated physical drift — not statistical guesses. The company’s VASDE technology offers unprecedented stability, safety, and predictive capability across multi-modal sensing environments.

Press Release

Phocoustic, Inc. Files International Patent Application for VisualAcoustic Semantic Drift Engine (VASDE)

November 2025 — Champaign, Illinois — Phocoustic, Inc. today announced the international filing of its Patent Cooperation Treaty (PCT) application entitled “System and Method for Physics-Informed Anomaly Detection and Semantic Drift Classification Using Quantized Drift Vectors.” This filing extends the VisualAcoustic Semantic Drift Engine (VASDE) portfolio beyond the United States, establishing worldwide priority for the company’s physics-informed approach to explainable artificial intelligence.

The PCT submission unifies a multi-year Continuation-in-Part sequence (CIP1–CIP7) and the U.S. Non-Provisional 19/225,716, consolidating innovations in Quantized Acoustic-Inferred Representation (QAIR), Physics-Anchored Drift Reduction (PADR), and Pattern-Quantized Ranking Code (PQRC). These modules transform optical and acoustic data into structured, persistence-validated evidence frames that enable transparent anomaly detection across manufacturing, transportation, and perception-assistive domains.

Key advances in the PCT include Quantized Laser-Structured Recall (QLSR) for spatial memory, Project-Specific Semantic Sphere (PSSS) for domain adaptation, and Compliance-Adaptive Feedback (CAF) for auditable decision governance. Together they form a globally patent-protected foundation for Phocoustic Signal Science (PSS)—a discipline defining how light and sound can be fused into quantized semantic intelligence.

By filing internationally, Phocoustic positions VASDE as a cross-domain standard for physics-anchored, explainable AI, addressing critical needs in semiconductor inspection, autonomous mobility, and assistive perception systems. The PCT ensures that the VisualAcoustic architecture, first conceived in early 2025, remains protected as it scales toward commercial deployments under VisualAcoustic.ai and future Phocoustic-licensed platforms.

This milestone solidifies Phocoustic’s commitment to globally advancing transparent, auditable AI that transforms raw signals of the physical world into governed meaning.

Phocoustic, Inc. Announces Filing of CIP-7: Expanding the VisualAcoustic Semantic Drift Engine

November 2025 — Champaign, Illinois — Phocoustic, Inc. today announced the filing of Continuation-in-Part Application No. CIP-7, extending the VisualAcoustic Semantic Drift Engine (VASDE) patent family. This filing consolidates and advances prior disclosures (QAIR, PADR, PQRC, SOEC, and XVTA) into a unified framework of governed, physics-anchored semantic reasoning. CIP-7 formally bridges Phocoustic Signal Science (PSS) with domain-specific governance, enabling quantized, compliance-aware decision systems for industrial, vehicular, and perceptual environments.

Building upon earlier Continuations (CIP-3 through CIP-6), CIP-7 introduces Autonomous Governance Synchronization, Adaptive Drift Arbitration, and an extended Quantized Laser-Structured Recall (QLSR) layer for spatial memory and drift persistence. The new filing codifies the role of Phocoustic Compliance Architecture, integrating Corrective-Policy Layers (CPL), Compliance-Adaptive Feedback (CAF), and Prompt Arbitration (PAIL) into a closed semantic feedback loop. This transforms VASDE from a detection framework into a full governance engine capable of traceable decision execution across multi-modal sensor domains.

CIP-7 also broadens apparatus coverage under the Extended VisualAcoustic Platform (XVAP)—including interchangeable VISURA bays for visible, infrared, ultraviolet, and structured-light acquisition—and strengthens interoperability with transformer-based semantic classifiers (XVTA). Each module now operates under Protocol 100.1+, ensuring synchronized metadata exchange and timestamped compliance integrity.

The filing underscores Phocoustic’s leadership in physics-informed explainable AI, replacing opaque probability models with quantized, persistence-validated drift reasoning. By fusing optical, acoustic, and semantic layers, VASDE establishes a technical standard for transparent automation—scalable from wafer metrology to autonomous mobility and assistive perception.

Phocoustic’s CIP-7 marks a milestone in establishing Phocoustic Signal Science as a new scientific discipline—where every anomaly, from nanometer-scale wafer drift to macro-scale environmental change, is measured, remembered, and governed through quantized semantics.

Phocoustic™ Announces Filing of CIP-6 Patent Application — Advancing Dual-Wave Coherence and Physics-Anchored Intelligence

Champaign, IL — October 2025 — Phocoustic Inc., the company behind the VisualAcoustic.ai platform, today announced the filing of its sixth Continuation-in-Part (CIP-6) patent application with the United States Patent and Trademark Office. The new filing expands the company’s protection around Dual-Wave Coherence (DWC) — a breakthrough method that couples electromagnetic and acoustic energy domains to achieve persistence-anchored sensing and self-verifying data integrity.

CIP-6 extends earlier Phocoustic patents covering physics-informed anomaly detection, quantized signal processing, and governed data provenance. The disclosure introduces a fully unified framework that links optical capture, acoustic resonance, and ledger-based governance into a single, self-calibrating measurement system. The result is an architecture capable of converting light into structured, auditable meaning — transforming observation itself into a form of reliable evidence.

“CIP-6 marks the moment where our Dual-Wave science becomes a commercial platform,” said Stephen Francis, Phocoustic’s founder and lead inventor. “We’ve proven that meaningful sensing requires more than data; it requires physical coherence that can be measured, verified, and governed. This filing secures that principle.”

Technology Overview

The CIP-6 specification details:

• Dual-Wave Coherence (DWC): Real-time transformation of transverse light waves into longitudinal acoustic persistence for drift-free sensing.

• PADR (Persistence-Anchored Drift Reduction): A quantization engine that converts frame-to-frame variation into stable, physics-validated signals.

• ARC (Adaptive Resonance Calibration): Automatic phase alignment between optical and acoustic channels.

• PLM (Provenance Ledger Manager): A secure governance layer recording every quantized event as verifiable evidence.

• Assistive and Industrial Embodiments: Applications spanning PCB inspection, biomedical imaging, autonomous navigation, and perceptual-assist devices such as PhoScope and PhoSight.

Strategic Significance

The filing strengthens Phocoustic’s growing patent family that now covers:

1. Industrial and manufacturing process control

2. Biomedical and scientific instrumentation

3. Human-assistive and environmental sensing

4. Governance-grade data verification and compliance

Together, these patents establish a new class of physics-anchored AI, designed to bring explainability and trust to machine perception.

About Phocoustic Inc.

Phocoustic Inc. is a deep-technology company pioneering phocoustic signal science — the fusion of photonics and acoustics into coherent, self-governing systems for vision, sensing, and human-machine understanding. Its VisualAcoustic.ai platform converts multi-spectral optical data into acoustic-structured intelligence for industrial, medical, and assistive applications.

Phocoustic: Defining the Dual-Wave Frontier

Phocoustic, Inc. is establishing an entirely new scientific and commercial domain known as Phocoustic Signal Science (PSS) — where light and sound operate together to transform how change in the physical world is measured, interpreted, and governed.

Traditional “optics-only” systems stop at reflection and brightness.
Phocoustic technology goes further: it converts electromagnetic variation into persistence-anchored acoustic structure, creating measurable continuity that light alone cannot provide.
This Dual-Wave Coherence framework allows every detected event to carry its own physical proof, semantic meaning, and compliance record — a combination no optical platform can replicate.

Through our Visual-Acoustic Semantic Drift Engine (VASDE) and its core modules (QAIR → PADR → PQRC → SOEC → CRE), Phocoustic delivers a traceable pathway from raw sensor data to governed decision-making.
The result is an explainable, physics-anchored foundation for anomaly detection, quality control, and human-assistive perception across industrial, biomedical, and environmental domains.

Phocoustic isn’t improving vision — it’s redefining measurement itself.
By establishing the first governed, dual-wave signal architecture, we ensure that persistence-anchored quantization becomes the new standard of trust in machine perception.

Phocoustic Files CIP5 to Advance Explainable, Closed-Loop Process Control

New patent filing formalizes Protocol 100.1 and introduces Pho-Sight™/Pho-Scope™ operator interfaces for auditable, human-in-the-loop governance

[Date:] October 12, 2025 — Phocoustic, Inc. today announced that it has filed CIP5, a continuation-in-part patent application that extends the company’s Visual-Acoustic Semantic Drift Engine (VASDE) with an auditable metadata backbone (Protocol 100.1) and new operator-advisory interfaces (Pho-Sigh and Pho-Scope). The filing focuses on closed-loop industrial process control and operator training, bringing explainability and compliance to automation workflows without relying on opaque black-box inference.

What CIP5 covers

• Protocol 100.1: a standardized semantic-synchronization layer that time-stamps, authenticates, and distributes quantization and compliance metadata across VASDE modules for traceable governance.

• Closed-loop governance stack: Corrective Policy Layer (CPL), Compliance-Adaptive Feedback (CAF), and Control Feedback Layer (CFL) to validate anomalies and deliver audited actions.

• Pho-Sight™ & Pho-Scope™: multisensory interfaces that translate quantified drift into acoustic, visual, or tactile cues for operator training, validation, and accessibility.

• Physics-anchored quantization: DDNL, PADR, PQRC, and SOEC modules that elevate persistent, physically meaningful signals and suppress noise—improving safety and reducing false positives.

“CIP5 is about trust,” said [Founder/CEO Name], founder of Phocoustic. “Protocol 100.1 and our operator interfaces make every step—from detection to decision to actuation—explainable, auditable, and human-centric.”

“Manufacturers want real-time control without sacrificing compliance,” added [Title, Exec Name]. “CIP5 shows how VASDE’s physics-anchored approach can govern automation safely, with operators in the loop.”

Why it matters

• Explainability by design: VASDE encodes anomalies as persistence-validated drift rather than ad-hoc scores, enabling reasoned, reviewable actions.

• Compliance and auditability: Protocol 100.1 and PAIL (Phocoustic Audit Integrity Layer) sign and time-stamp events for regulatory traceability.

• Operator readiness: PhoSight™/PhoScope™ convert complex metrics into intuitive cues, accelerating training and acceptance on the plant floor.

• Scalable across domains: While CIP5 centers on industrial process control, the underlying methods support biomedical, optical/spectroscopic, and navigational applications.

About the filing
CIP5 extends Phocoustic’s patent family with system and method claims for metadata-synchronized, closed-loop control and operator advisory. The application was filed with the United States Patent and Trademark Office (USPTO). A patent is pending; grant is not guaranteed.

VisualAcoustic’s core engine, the VisualAcoustic Semantic Drift Engine (VASDE, formerly VAAD), is built on the belief that light — in all its spectral forms — is the richest source of information in the physical world. But without structure, light remains silent. VASDE transforms light into acoustic-structured, quantized representations that enable explainable interpretation of drift, anomaly, and intent. Through this architecture, light becomes language — and observation becomes optimization.

With the CIP4 extension, VASDE now advances beyond detection into adaptive governance. New layers — including Differential Drift Normalization (DDNL), Adaptive Threshold Control (ATC), and Operator-Advisory feedback (CPL, CAF, OAL) — bring dynamic calibration, human-in-the-loop guidance, and compliance-linked control to every decision cycle. This architecture allows thresholds and corrective responses to evolve statistically over time while maintaining full traceability and operator authority.

The system described herein is subject to U.S. patent application protection:
U.S. Patent Pending Application No. 19/225,716 and Continuation-in-Part filings including CIP4.
Unauthorized reproduction may infringe pending rights. VASDE™.

Introducing: Phocoustics. A new branch of signal science — the fusion of photonic and acoustic analysis that transforms visual patterns into structured, sound-based representations. At VisualAcoustic.ai, this technology powers real-time, physics-aware anomaly detection by converting pixel drift and structural shifts into acoustic signals, enabling intuitive insights across manufacturing, inspection, and safety-critical environments — now strengthened by adaptive normalization, threshold evolution, and operator-advisory intelligence introduced through CIP4.

. See Phocoustic.com