Technology

AuraSpark™'s platform combines multi-modal sensing, explainable AI, and autonomy into a single stack built for environments where reliability, oversight, and traceability are non-negotiable.

Core architecture

Sense → Perceive → Decide → Act → Audit

Sensors capture evidence, perception constructs a structured view of the environment, the autonomy core plans and coordinates actions, and the audit layer preserves a defensible decision trail.

Multi-modal sensing & grounding

RGB, IR, and multispectral inputs where relevant
Telemetry and operational context fused into a unified state model
Edge processing for low-latency and degraded-connectivity environments
Structured evidence capture to support oversight and learning loops

Explainable decision support

Interpretable signals and traceable reasoning where appropriate
Human-on-the-loop operating models for high-stakes use
Safety guardrails, constraints, and fallback behaviors
Outputs designed to fit real workflows (not just model demos)

Safety, assurance, and oversight

Regulated by design

We build for oversight and compliance constraints from day one, not as documentation at the end.

Explainability & auditability

Traceable decision paths and rich logging support validation, governance, and post-incident review.

Verification mindset

Structured to support safety cases, scenario-based testing, and measurable behavior under edge conditions.

Deep technical background

The following section preserves the original detailed technical narrative for technical partners and diligence.

NO PUBLIC DISCLOSURE OF METHODS

High‑level technology summaries

We intentionally avoid HOW‑to details to protect patentability and trade secrets. Full technical briefings are shared under NDA.

AURA — Unified, Evidentiary AI

Auditable, privacy‑preserving AI with cryptographic evidentiary state and version‑aware correlation.

Ethical AITime‑machine complianceForensics‑ready

Autonomous & Cooperative Multi‑Agent Systems

Co‑evolutionary swarms with role assignment to anticipate/adapt to adversaries.

Swarm AIGame theory

Fail‑Operational Control Architecture

Health‑aware fusion/control to maintain safe operation through faults.

Graceful degradationMission continuity

Blended Cyber‑Physical Threat Detection

GNN correlates cyber and physical signals for early detection.

Lower false‑positivesCoordinated response

Neuromorphic ‘Sentinel’ Anomaly Detection

Event‑driven encoding + SNN for µs‑latency alerts at µW power.

EdgeUltra‑low‑power

Quantum‑Secure, Swarm‑Aware Communications

QKD‑aware maneuvering and formation consensus.

Byzantine‑resilient

Precision Agriculture – Fail‑Operational Platform

SPC‑based fault signatures for continuous operations.

AgTechReliability

Monolithic Autonomous Orbital Self‑Repair

Single spacecraft replaces its own modules on‑orbit.

LongevityNo external servicer

More detailed claims, figures, and performance data are shared only under NDA.

BVLOS / Part 108 Readiness

Enabling safe, routine BVLOS through auditable autonomy, ADSP-grade services, and fail-operational control.

Part 108 introduces a scalable BVLOS framework: airworthiness acceptance via consensus standards, two authorization tracks (permit/certificate), ADSP-supported separation and conformance, new operations roles, and strict cybersecurity and recordkeeping expectations.

ADSP-class separation & conformance — Our MARL-based Cooperative Multi-Agent Platform negotiates operational intents (BID/YIELD/TRADE) while a Regulatory Compliance Monitor enforces mandatory safety floors and population-density constraints.
Detect-and-Avoid beyond kinematics — Cross-modal (LiDAR + thermal) geometric validation reliably classifies low-maneuverability traffic (e.g., balloons) and plans avoidance trajectories constrained by real-time vehicle health.
Fail-operational reliability — The Hybrid, Redundant, Fail-Safe Architecture (HRFSA) predicts incipient faults and adapts sensor fusion before data degrades state—backstopped by PHM-aware contingency management for lost-link.
C2 security & spoof-resilience — Quantum-secure links with formation-level consensus plus an ultra-low-power neuromorphic sentinel that hard-rejects GPS spoofing in microseconds.
Evidence by design — A cryptographic AURA Evidence Ledger with Synchronic Correlation Audits produces verifiable Part-108-ready reports tied to the exact rule version in force.

Note: This section reflects FAA’s proposed rule (NPRM). We will update once the final rule is published.

Auditable Autonomy & Evidence Ledger

We capture flight, maintenance, and C2 data into a cryptographically immutable ledger and run a Synchronic Correlation Audit that analyzes each event against the exact version of the rules and procedures that applied at that time. The result is a forensically verifiable safety & compliance assessment—backed by an end-to-end chain of custody.

Immutable evidence — hash-chained, time-stamped records (private/permissioned).
Version-correct audits — rule repository + “point-in-time” correlation.
Automated reports — audit packets you can share with regulators & partners.

GPS Spoofing Sentinel (μs response)

An event-driven neuromorphic detector spots spoofing signatures in microseconds and hard-interrupts the flight controller to reject the fix and fall back to inertial/visual nav—delivering orders-of-magnitude lower latency and power than conventional ML.

~500 μs detection; interrupt-driven mitigation
Ultra-low power for long-endurance platforms

Quantum-Secure Swarm Comms

Free-space QKD with PAT produces a live composite security metric per vehicle. We fuse these metrics across the fleet using robust consensus and feed the result into our autonomy layer to adapt routes, speeds, or link reacquisition strategies in real time.

QKD + PAT health fused into a composite security metric
Fleet-level consensus and MARL-driven responses

WORM Audit & Signatures

Every critical event is hashed, signed, and written to WORM storage with precise timestamps. The result is a tamper-evident, regulator-ready record that underpins automated reporting and customer trust.