Deterministic Attributable Replay-Verified Governed Secure
Inspection outcomes influence asset valuation, maintenance decisions, regulatory reporting, and operational safety. NEPA is designed for environments where inspection systems must do more than detect — they must withstand scrutiny.
NEPA is a deterministic inspection infrastructure platform engineered for auditability, replay verification, and governance control. This is infrastructure software, not exploratory analytics.
*Observed under controlled runtime configuration.
Twelve parallel signal rails operate under hard latency contracts with seeded, deterministic activation cycles. Hover or tap any rail to inspect zone metadata. Click to lock a rail for sustained review.
NEPA operates under a defined real-time latency contract, separating time-critical control from secondary analytics. Predictable behavior under operational conditions is a prerequisite for regulated and enterprise environments.
Eight parallel processing lanes with hard-bounded latency guarantees. Each lane operates independently with its own watchdog and telemetry channel. No shared mutable state between lanes.
Per-frame metric capture and watchdog enforcement. Latency exceedance events are flagged, logged, and escalated before affecting downstream reporting pipelines.
Performance characteristics confirmed across multi-hour operational workloads at representative inspection throughput. Benchmark suites run continuously in CI with regression detection.
Spike-timing-dependent plasticity rules govern adaptive weight updates. Gated modulation signals preserve stability on safety-critical processing pathways under variable load conditions.
C++ core engine with hardware-accelerated inference delivers sub-threshold latency on edge-class devices. Deployable without cloud round-trips on standard embedded compute hardware.
Simultaneous ingestion of RGB, LiDAR point cloud, and thermal imaging streams. Each modality processed in a dedicated lane before evidence-weighted fusion at the aggregation stage.
Each inspection run is cryptographically bound to a unique system configuration. No output exists without an attributable configuration state.
Findings can be independently re-derived from preserved inspection data. Any inconsistency is automatically recorded as a critical validation event, supporting enterprise governance, audit requirements, and regulatory defensibility.
All raw sensor frames, processed spike representations, and derived findings are written to append-only storage with cryptographic sealing. No record can be modified without detection.
Before any replay attempt, the system validates that stored configuration hashes match the requested engine version. Mismatches halt replay and generate a compliance incident record.
Byte-level deterministic replay reproduces every intermediate processing state. Third-party auditors receive a signed attestation package alongside the replay artifacts.
Every system event enters a tamper-evident chain. Each block references its predecessor hash, making retrospective modification detectable during any subsequent audit review.
NEPA integrates into existing camera → edge → cloud architectures. Standard hardware. Standard interfaces. Structured accountability layer added at the inspection processing stage.
The platform aligns with enterprise risk management, compliance, and infrastructure lifecycle oversight requirements without requiring changes to upstream sensor or downstream reporting systems.
Operates on standard CPU/GPU hardware. No proprietary silicon required.
Spike-encoded representations substantially reduce bandwidth versus raw video streaming.
Standard programmatic interfaces for CMMS, ERP, and GIS integration.
Coordinate inspection operations across multiple nodes with centralised evidence aggregation.
NEPA is supported by structured governance documentation designed to meet enterprise procurement review, technical due diligence, and regulatory evaluation standards.
| Governance Capability | Mechanism | Status |
|---|---|---|
| Determinism Policy Formal documentation of deterministic processing guarantees | Policy document v2.1 + automated regression tests | Active |
| Change Control Discipline Structured change management for all platform updates | Git-tagged releases with signed changelogs and approval gates | Active |
| Parameter Locking Freeze analytical parameters at run-start | Configuration contract binding at run initialisation | Active |
| Fault Injection Testing Structured adversarial testing of failure modes | Automated fault injection suite run in CI on every release | Active |
| Readiness Review Deployment readiness signoff criteria | Operational readiness review checklist and assessment matrix | In Review |
| Third-Party Audit Support External validation of audit trail and replay system | Auditor access portal with signed evidence packages | On Request |
Request a formal briefing for procurement review, regulatory evaluation, or technical due diligence.