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AeroBrain.ai delivers aviation-grade AI decision support for airlines, defence operators, and enterprise teams that need secure, governed, mission-aware intelligence.
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© Copyright 2026 AeroBrain.ai. All Rights Reserved.

Built for secure aviation AI operations.

Pioneering Aviation Intelligence

Achieve the 1.3%Measurable Airline Costs Reduction with Decision Intelligence infrastructure.Reduce airline costs with governed AI technologies, real-time decision support, and agentic tools for every department

AeroBrain.ai targets airlines that want measurable cost reduction, faster operational decisions, and one trusted aviation AI layer across OCC, crew, fleet, training, maintenance, safety, finance, and executive management.

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1.3%
Cost reduction
1-2.1%
Profit
44×
Faster decisions
One
Central single source of truth for decision-making
Instant airline collaboration

Reduce response time. Increase profit.

Real-time suggestions from the cockpit to the executive office

AeroBrain.ai serves live decision support to every airline department at the moment work happens: from front-line crews in the cockpit and line operations, through OCC, fleet, training, maintenance, rostering, finance, safety, and senior management. Each department receives agentic tools tuned to its own operational context, while leadership keeps one central source of truth for decision-making, auditability, and enterprise risk control.

Agentic tool

Wingman

Cockpit & front-line crew

Real-time operational suggestions, briefings, manual retrieval, and decision support delivered where front-line crews need trusted context fastest.

Agentic tool

OpsEye

OCC, disruption & network control

Agentic monitoring and recovery support for delays, disruption propagation, aircraft swaps, crew constraints, and customer-impact decisions.

Agentic tool

FleetSnap

Fleet planning & performance

Fleet-aware intelligence for utilization, reliability signals, operating cost, aircraft availability, and cross-department planning decisions.

Agentic tool

aeroEBT

Training, standards & safety

Evidence-based training intelligence that connects standards, competencies, instructor feedback, safety signals, and operational learning loops.

Agentic tool

Rosterize

Crew planning & rostering

Decision support for roster pressure, qualifications, training windows, fatigue-sensitive constraints, and operational recovery scenarios.

Agentic tool

AeroTechLog

Maintenance & technical operations

Maintenance intelligence for tech-log context, deferred defects, reliability trends, aircraft readiness, and coordination with operations control.

The value is not one isolated assistant. It is a coordinated airline AI layer where every department sees the same operational truth, receives relevant suggestions, and collaborates instantly with the right context, constraints, audit trail, and management visibility.

Board-level airline outcomes

Built for the executive committee of a global airline

AeroBrain.ai positions AI as operating infrastructure, not a lab experiment: a governed decision layer that connects revenue, operations, safety, training, maintenance, and customer recovery in one evidence-backed cockpit for leaders.

Cost discipline without weakening operational resilience
Faster disruption recovery and network-control decisions
Governed AI adoption with audit evidence for safety and IT
Deployment options for sovereign, air-gapped, or managed environments
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CEO / Group CEO

Protect margin in a low-buffer industry while building a credible AI operating model for the next decade.

CFO / Strategy

Translate operational decisions into revenue protection, cost avoidance, and accountable usage-based spend.

COO / OCC

Shorten the path from disruption signal to coordinated recovery across crew, fleet, maintenance, and customer flows.

CIO / CISO

Deploy AI under enterprise controls: tenant isolation, observability, deterministic retrieval, and optional offline operation.

Safety / Compliance

Keep provenance, audit trails, manual-review boundaries, and regulator-facing evidence visible from day one.

Training / Standards

Surface airline manuals, policy, training logic, and operational knowledge consistently across departments.

Aviation-grade AI platform

The one aviation AI infrastructure for airlines

Infrastructure as a service for airlines — governed retrieval, deterministic fusion where required, and an operations-ready control plane so technical teams can deploy, observe, and evidence AI like any other critical system.

Airline fleet parked at airport gates, representing operational decision intelligence infrastructure for airlines

Safety, determinism & deployment posture

The Aerobrain engine (Rust) is designed around assurance themes familiar to airworthiness and enterprise security teams: bounded behaviour under fault, explicit degradation, traceable retrieval, and contracts that stay stable across releases.

  • Internet-isolated & on-prem — deploy behind your perimeter or in disconnected enclaves; keep inference and corpora under your data residency and access policies.
  • Deterministic RAG paths — ordered fusion, reproducible ranking, and explicit provenance so the same query + corpus snapshot yields the same evidence set for audit replay.
  • ~12 ms-class retrieval — on our reference stack, end-to-end retrieval through ranking sits in the low tens of milliseconds; your SLO will depend on hardware, index size, and network path.
  • LPU assistance & data-center tiers — combine Aerobrain with LPU-class accelerators in on-premises or managed facilities so retrieval and adjacent inference stay inside your trust boundary; on pinned reference racks we target ~3 ms-class retrieval latency (topology, batching, redundancy, and corpus hotness will move the needle in production).
  • Operator-grade observability — usage, model routing, and safety classifications exposed for enterprise monitoring and airline pricing / quota controls in the AeroBrain.ai control plane.

EASA & EU compliance coverage

AeroBrain.ai is structured to support airline diligence against EASA aviation obligations and EU operational governance expectations. Formal approval depends on the aircraft / operator use case and competent authority process.

  • Regulation (EU) 2018/1139 — EASA Basic Regulation (common civil aviation safety framework).
  • Regulation (EU) 965/2012 — Air Operations, including Part‑ORO organisation requirements and safety management expectations.
  • Regulation (EU) 1178/2011 — Aircrew / Part‑FCL and Part‑ORA training, licensing, and approved-organisation context.
  • Regulation (EU) 1321/2014 — Continuing airworthiness and technical record / maintenance-governance context.
  • Regulation (EU) 2024/1689 — EU AI Act (including high-risk obligations, transparency, and Article 108 interface with sector regulators such as EASA).

ICAO coverage for airline AI programmes

AeroBrain.ai is mapped for compliance discussion against the ICAO instruments airlines and States use when introducing decision-support systems into safety, operations, security, and continuity processes.

  • Annex 19 — Safety Management (global SARPs for SMS and safety performance).
  • Annex 6 — Operation of Aircraft (operator responsibilities, manuals, operational control, and safe conduct of flights).
  • Annex 1 — Personnel Licensing (training, competency, recency, and authorised personnel considerations).
  • Annex 8 — Airworthiness of Aircraft (continuing technical confidence and traceable engineering evidence).
  • Annex 10 — Aeronautical Telecommunications (CNS / ATM interfaces, resilience, and information flow).
  • Annex 17 — Aviation Security (secure operations, access controls, and protection of aviation systems and data).
  • Doc 9859 — Safety Management Manual (implementation guidance aligned with Annex 19).
  • Global Aviation Safety Plan (GASP) & Global Air Navigation Plan (GANP) — strategic safety and air navigation performance frameworks States use when adopting new automation and decision-support capabilities.
  • ICAO innovation agenda — Assembly and Air Navigation Commission work programmes on trustworthy AI, human performance, and cybersecurity interfaces to CNS/ATM modernization.
  • EUROCAE WG‑114 / SAE G‑34 — joint industry standardisation on AI development assurance (e.g. ARP6983 / ED‑324 trajectory) referenced by regulators when defining AMC-style evidence.

EASA AI assurance coverage

The platform is mapped for diligence discussions around learning-system assurance, development evidence, monitoring, and emerging DS.AI expectations.

  • AMC 20‑189 — Acceptable Means of Compliance for development assurance of learning systems in aviation contexts.
  • EASA SC‑AI‑01 — Special Condition on trustworthiness of machine-learning / neural-network systems.
  • EASA AI Concept Paper (Issue 2) — Level 1 / Level 2 machine-learning assurance strategy (W-shaped process, operational design domain considerations).
  • EASA Level 1 ML Guidance — development assurance, learning assurance, implementation, monitoring, change, and quality objectives for ML applications.
  • EASA Artificial Intelligence Roadmap 2.0 — agency programme aligning rulemaking, research, and industry collaboration.
  • EASA NPA 2025‑07 / Draft DS.AI — proposed harmonised specifications for AI in aviation design and assurance (consultation / emerging; not yet binding law).

AeroBrain is a software platform; it is not an airworthiness approval. Regulatory text evolves — use this section as a discussion baseline with your accountable manager, design organisation, and legal counsel for the jurisdictions where you operate.

Next Generation

Digital Native
Airlines with Regulatory Compliance

Transform your airline into a digital-native organization with AeroBrain, the comprehensive, real-time single source of truth for all departments and data across the entire organisation.

Unified data across all departments
Real-time operational intelligence
Seamless cross-functional insights
Enterprise-grade security & compliance
Learn More
AeroBrain.ai digital-native airline command wall showing operational AI intelligence and fleet performance dashboards
AI-Powered Solutions

Leverage the Power of AI

Discover AI-tailored solutions designed for each department of your airline, functioning as a unified, intelligent brain for your entire organization.

Flight Operations

Streamline operations with AI-powered dispatch solutions for better coordination.

Crew Rostering

Smart scheduling algorithms for optimal crew management and satisfaction.

Predictive Maintenance

Prevent downtime with AI-driven predictive insights and asset management.

Safety Analytics

Proactive risk identification and compliance monitoring in real-time.

Training Insights

AI-driven performance metrics for continuous crew development.

Cost Optimization

Identify savings opportunities with advanced AI data analysis.

Seamless Integration

Connect With Your Stack

Integrate seamlessly with your existing databases and systems

Integration
Integration
Integration
Integration
Integration
Integration

Airline systems, productivity suites, and operational platforms

AMOSWebAimsaeroEBTMicrosoft 365GoogleDropboxand many more

The Intelligent Brain of Your Airline

Four pillars of AI-powered excellence

Understand

Analyse and interpret structured & unstructured data at scale and learn from them.

Recommend

Provide centralised recommendations by understanding the airline ecosystem.

Learn

Utilise machine learning to grow intelligence and expertise in your systems.

Interact

Active live interactions across all platforms for fast decision-making.

0.8%
First Year Savings
1.9%
Long-term Reduction
100%
Data Centralization
45x
Faster Response
Proven Results

Cut Costs & Boost Efficiency

Reduce operational costs by up to 0.8% in the first year and up to 1.9% with advanced AI analysis. Streamline department response times and information transfer, saving valuable time across the board.

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Ready to Transform Your Airline?

Join leading airlines already using AeroBrain to revolutionize their operations.

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