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AI & Software

Advisory AI, Cert-Aligned Software

We use advisory AI for design exploration, test analytics, and anomaly detection—kept out of the safety-critical path. Controls and flight-ready software track a DO-178C roadmap with clean requirements, traceability, and automated artifacts.

See engine integrationCombustor program

Why Software is First-Class

Every test point becomes a traceable artifact. We automate data hygiene, reports, and compliance evidence, and use AI to accelerate—not replace—engineering judgement.

Faster Iteration

Automated plots, reports, and stability/NOx maps.

Better Decisions

Advisory models highlight anomalies and trends.

Cert Ready

Requirements → trace → test → evidence by design.

Capabilities

Design Space Search

Parameter sweeps and surrogate models to explore combustor geometry, staging, and delivery options.

Test Analytics

Automated ingestion, filtering, and plotting. Rapid stability/NOx maps and confidence intervals.

Anomaly Detection

Advisory AI flags drift, outliers, and sensor issues—operators keep full control.

Controls Tooling

Transient handling, ignition sequencing, and command tracking with logged performance bounds.

Evidence Generation

HAZOP/FMEA hooks, requirement coverage, and report builders tied to test IDs and datasets.

Ops Dashboards

Turnaround timing, refuel telemetry, and airport readiness KPIs (non-safety-critical).

Targets & Metrics

Quantitative goals to keep models honest and outputs cert-useful.

Data Freshness
< 24h pipeline lag
Automated ETL from rigs to reports.
Traceability
100% test linkage
Req ↔ test IDs ↔ artifacts.
Detection Quality
> 95% recall (advisory)
Tuned thresholds & review loops.
Report Time
Minutes, not days
One-click stability/NOx pack.

How the AI Toolchain Works

  1. Ingest & Clean: Stream from rigs; normalize, validate, and version datasets.
  2. Model & Compare: Fit advisory models; compare hypotheses with held-out data.
  3. Surface Insights: Stability/NOx maps, drift alerts, and candidate design moves.
  4. Publish Evidence: Auto-generated plots, tables, and traceability into cert packs.
Storage & DeliveryEngine controls
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Advisory AI accelerates iteration; cert-critical functions follow DO-178C workflows.

Liberia, Costa Rica (LIR) — live analytics loops

We close the loop fast: test → ingest → analyze → decision. Dashboards highlight anomalies, turnaround timing, and next best experiments—while maintaining traceability for certification.

  • Automated stability/NOx plots within minutes
  • Drift & sensor-health alerts (advisory)
  • Evidence exports tagged to requirements
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Learn about our testbed →

Certification & Safety Mapping

Advisory AI stays out of the safety-critical chain; cert software follows DO-178C.

System Process
ARP4754A / 4761 traceability
Software Lifecycle
DO-178C planning & evidence
Data Integrity
Versioning, checksums, audit logs
Separation
Advisory AI outside critical path

Partner With Us

We co-develop modules and share test data to accelerate certification-ready products.

Combustor Modules
Micromix variants, injectors, liners, optical rigs.
Storage & Delivery
Type-IV tanks, PRD, manifolds, ventilation & detection.
Controls & SW
Transient handling, analytics, advisory AI pipelines.
Airport Pilots
Turnaround playbooks, fueling bays, maintenance flows.
Contact the teamLatest updates

AI & Software FAQs

Does AI control the engine?
No. AI is advisory only. Safety-critical functions follow DO-178C processes and are validated independently.
What does AI actually do?
Design exploration, test analytics, anomaly detection, and auto-reporting—speeding up iteration and evidence creation.
How do you ensure data integrity?
Versioned datasets, checksums, audit logs, and traceability from requirements to artifacts.
Can this scale across airports?
Yes—dashboards and playbooks are modular and exportable, with local data sources and authority-specific outputs.
See engines integrationCertification approach