AVIRO AGENTS

Autonomous AI agents,built for aviation operations

Aviro Agents are domain-trained AI workers that automate the operational decisions airlines make every day — across irregular operations, maintenance planning, and crew scheduling — wired into the systems you already run.

Schedule a demonstration Read the platform overview

Watch 2-minute walkthrough

BEAT 1 · IRREGULAR OPS

When the day breaks, plans recompose in seconds

The IROPs agent reads operational data in real time, predicts disruption, classifies risk, and triggers a coordinated response before it cascades across the network.

BEAT··

OVERVIEW

What Aviro Agents is

Aviro Agents is an autonomous-agent platform for aviation operations. Each agent is a domain-trained AI worker that monitors live operational data, reasons over it against your rules and regulations, and acts — orchestrating workflows, surfacing risks, and notifying the right people. The agents share a common runtime that listens to events, integrates with the systems you already operate, and keeps a single source of truth across them. The result is less effort lost to integration plumbing and manual coordination, and more operational decisions handled the moment they arise.

Aviro Agents · launch film

The agents don't replace our controllers. They give every controller a tireless analyst who has already read every signal before the phone rings.

— Operations director · Major carrier (attribution pending public release)

01 · IRREGULAR OPS

Recompose the operation the moment it breaks

The IROPs Management Agent watches the live operation, anticipates disruption before it spreads, and coordinates the response across the teams that have to act. It turns a flood of signals into a ranked, explainable set of decisions.

REAL-TIME MONITORINGContinuous read of operational data across the network.
PREDICTIVE ANALYSISDisruption-prediction algorithms flag risk early.
RISK CLASSIFICATIONEvents are classified and prioritized by impact.
AUTOMATED RESPONSENotifies stakeholders and triggers the right workflow.

INGESTS: Operational data feeds · flight tracking · weather · schedule state
PRODUCES: Ranked disruptions · stakeholder notifications · response workflows

“When a single delay threatens to cascade, the agent has already drafted the recovery.”

Talk to the engineering team about the IROPs agent

02 · MAINTENANCE

Schedule maintenance around evidence, not the calendar

The Proactive Maintenance Planning Agent fuses telemetry and log data to detect developing failures, then optimizes when and where work happens — balancing safety, cost, and aircraft availability.

TELEMETRY ANALYSISReads structural, mechanical, and engine streams.
PREDICTIVE DETECTIONSurfaces failures before they ground an aircraft.
SCHEDULE OPTIMIZATIONPlans work for lead time and availability.
COST-BENEFIT ANALYSISWeighs intervention against operational cost.

INGESTS: Sensor telemetry · maintenance logs · fleet history
PRODUCES: Anomaly findings · recommended actions · optimized schedule

subscribe-maintenance.ts

import { AviroAgents } from "@aviro/agents"; // illustrative

const maintenance = AviroAgents.connect("proactive-maintenance");

// Subscribe the maintenance agent to a live telemetry stream.
maintenance.subscribe("fleet.telemetry", async (frame) => {
  const finding = await maintenance.analyze(frame);
  if (finding.confidence > 0.8) {
    // Ranked, explainable output — reasoning trace included.
    await maintenance.recommend(finding); // TBD: public SDK
  }
});

“A trend the human eye would catch in a quarter, the agent catches in an afternoon.”

Talk to the engineering team about the Maintenance agent

03 · CREW

Keep crews legal, rested, and in the right place

The Intelligent Crew Planning Agent adjusts crew schedules in real time, recovering from disruption while continuously verifying flight-time limitations, qualifications, and regulation adherence.

REAL-TIME ADJUSTMENTRebalances schedules as the day changes.
FTL COMPLIANCEMonitors flight-time-limitation bounds continuously.
AVAILABILITY OPTIMIZATIONMatches qualified crew to open duties.
AUTOMATED REASSIGNMENTProposes legal reassignments in seconds.

INGESTS: Crew rosters · qualifications · duty records · disruption state
PRODUCES: Compliant reassignments · availability view · audit trail

“Every reassignment it proposes is one a regulator could sign off on.”

Talk to the engineering team about the Crew agent

The operating roles that run your airline

OPERATIONS CONTROL
See disruption coming, not just unfolding
OCC controllers get ranked, explained risks and a drafted recovery before the cascade starts.
Used by the IROPs agent
MAINTENANCE ENGINEERING
Plan work around real signals
Engineers act on evidence-based findings with lead time, not calendar guesses.
Used by the Maintenance agent
CREW PLANNING
Recover schedules within the rules
Planners get legal, qualification-aware reassignments proposed in seconds.
Used by the Crew agent
INTEGRATION & IT
Stop losing projects to plumbing
A visual low-code builder, event listening, and REST/SOAP services connect to what you run.
Built on the platform runtime
DATA & ANALYTICS
One source of truth across systems
Master-data creation and real-time analytics keep every team reading the same numbers.
Built on the platform runtime
OPERATIONS LEADERSHIP
Efficiency, cost, and advantage you can measure
Operational intelligence rolls fleet-wide performance up to the decisions leadership owns.
Across every agent

Most of our AI effort used to disappear into plumbing. Aviro Agents arrives already speaking to the systems we run.

— Head of operational technology · Network airline (attribution pending public release)

ARCHITECTURE

How an Aviro Agent thinks

Ingest

Flight tracking, weather, schedule status, and the systems you already operate — the agent listens to live events, not static reports.

Reason

Every signal is evaluated against your operating rules and regulatory bounds — the same envelope your dispatchers already work inside.

Coordinate

The agent coordinates the response across the teams that have to act — prioritizing tasks, notifying the right people, closing the loop before disruption spreads.

Audit

Every decision carries its full reasoning trace and stays subject to human-in-the-loop approval — nothing fires unrecorded, nothing overrides the people in command.

INTEGRATION EFFORT RECLAIMED

of development effort once lost to integration challenges

AIRCRAFT MONITORED

850+

across operator deployments

DECISIONS / DAY

1.2M+

agent decisions logged with reasoning

AVG ALERT LEAD TIME

72h

from signal to surfaced alert

SECURITY & COMPLIANCE

Data encryption
Access controls
Industry-standard compliance
Centralized monitoring

INTEGRATIONS

MLFlow
Kubeflow
REST / SOAP
API gateway
Event-driven
File processing

Security posture reflects the live platform description. Specific certifications and named integrations are confirmed per deployment.

RESEARCH

From the research that informs the platform

WHY AVIRO AGENTS

Why operators choose Aviro Agents

INTEGRATION-NATIVE
Speaks to the systems you already run
Event listening, REST/SOAP, and a visual low-code builder mean less plumbing and faster time to value.
AVIATION-TRAINED
Agents shaped to real operating roles
IROPs, maintenance, and crew agents are built around how airlines actually run, not generic automation.
DEPLOY ANYWHERE
Private or public cloud, low footprint
A low-resource architecture runs where your data and governance require it.

FAQ

Common questions

Bring Aviro Agents to your operations.
Schedule a demonstration.

Schedule a demonstration Talk to engineering

See Aviro E-Box

AVIRO AGENTS

Autonomous AI agents,built for aviation operations

Schedule a demonstration Read the platform overview

Watch 2-minute walkthrough

BEAT 1 · IRREGULAR OPS

When the day breaks, plans recompose in seconds

The IROPs agent reads operational data in real time, predicts disruption, classifies risk, and triggers a coordinated response before it cascades across the network.

BEAT··

OVERVIEW

What Aviro Agents is

Aviro Agents · launch film

The agents don't replace our controllers. They give every controller a tireless analyst who has already read every signal before the phone rings.

— Operations director · Major carrier (attribution pending public release)

01 · IRREGULAR OPS

Recompose the operation the moment it breaks

REAL-TIME MONITORINGContinuous read of operational data across the network.
PREDICTIVE ANALYSISDisruption-prediction algorithms flag risk early.
RISK CLASSIFICATIONEvents are classified and prioritized by impact.
AUTOMATED RESPONSENotifies stakeholders and triggers the right workflow.

INGESTS: Operational data feeds · flight tracking · weather · schedule state
PRODUCES: Ranked disruptions · stakeholder notifications · response workflows

“When a single delay threatens to cascade, the agent has already drafted the recovery.”

Talk to the engineering team about the IROPs agent

02 · MAINTENANCE

Schedule maintenance around evidence, not the calendar

The Proactive Maintenance Planning Agent fuses telemetry and log data to detect developing failures, then optimizes when and where work happens — balancing safety, cost, and aircraft availability.

TELEMETRY ANALYSISReads structural, mechanical, and engine streams.
PREDICTIVE DETECTIONSurfaces failures before they ground an aircraft.
SCHEDULE OPTIMIZATIONPlans work for lead time and availability.
COST-BENEFIT ANALYSISWeighs intervention against operational cost.

INGESTS: Sensor telemetry · maintenance logs · fleet history
PRODUCES: Anomaly findings · recommended actions · optimized schedule

subscribe-maintenance.ts

import { AviroAgents } from "@aviro/agents"; // illustrative

const maintenance = AviroAgents.connect("proactive-maintenance");

// Subscribe the maintenance agent to a live telemetry stream.
maintenance.subscribe("fleet.telemetry", async (frame) => {
  const finding = await maintenance.analyze(frame);
  if (finding.confidence > 0.8) {
    // Ranked, explainable output — reasoning trace included.
    await maintenance.recommend(finding); // TBD: public SDK
  }
});

“A trend the human eye would catch in a quarter, the agent catches in an afternoon.”

Talk to the engineering team about the Maintenance agent

03 · CREW

Keep crews legal, rested, and in the right place

The Intelligent Crew Planning Agent adjusts crew schedules in real time, recovering from disruption while continuously verifying flight-time limitations, qualifications, and regulation adherence.

REAL-TIME ADJUSTMENTRebalances schedules as the day changes.
FTL COMPLIANCEMonitors flight-time-limitation bounds continuously.
AVAILABILITY OPTIMIZATIONMatches qualified crew to open duties.
AUTOMATED REASSIGNMENTProposes legal reassignments in seconds.

INGESTS: Crew rosters · qualifications · duty records · disruption state
PRODUCES: Compliant reassignments · availability view · audit trail

“Every reassignment it proposes is one a regulator could sign off on.”

Talk to the engineering team about the Crew agent

The operating roles that run your airline

OPERATIONS CONTROL
See disruption coming, not just unfolding
OCC controllers get ranked, explained risks and a drafted recovery before the cascade starts.
Used by the IROPs agent
MAINTENANCE ENGINEERING
Plan work around real signals
Engineers act on evidence-based findings with lead time, not calendar guesses.
Used by the Maintenance agent
CREW PLANNING
Recover schedules within the rules
Planners get legal, qualification-aware reassignments proposed in seconds.
Used by the Crew agent
INTEGRATION & IT
Stop losing projects to plumbing
A visual low-code builder, event listening, and REST/SOAP services connect to what you run.
Built on the platform runtime
DATA & ANALYTICS
One source of truth across systems
Master-data creation and real-time analytics keep every team reading the same numbers.
Built on the platform runtime
OPERATIONS LEADERSHIP
Efficiency, cost, and advantage you can measure
Operational intelligence rolls fleet-wide performance up to the decisions leadership owns.
Across every agent

Most of our AI effort used to disappear into plumbing. Aviro Agents arrives already speaking to the systems we run.

— Head of operational technology · Network airline (attribution pending public release)

ARCHITECTURE

How an Aviro Agent thinks

Ingest

Flight tracking, weather, schedule status, and the systems you already operate — the agent listens to live events, not static reports.

Reason

Every signal is evaluated against your operating rules and regulatory bounds — the same envelope your dispatchers already work inside.

Coordinate

The agent coordinates the response across the teams that have to act — prioritizing tasks, notifying the right people, closing the loop before disruption spreads.

Audit

Every decision carries its full reasoning trace and stays subject to human-in-the-loop approval — nothing fires unrecorded, nothing overrides the people in command.

INTEGRATION EFFORT RECLAIMED

of development effort once lost to integration challenges

AIRCRAFT MONITORED

850+

across operator deployments

DECISIONS / DAY

1.2M+

agent decisions logged with reasoning

AVG ALERT LEAD TIME

72h

from signal to surfaced alert

SECURITY & COMPLIANCE

Data encryption
Access controls
Industry-standard compliance
Centralized monitoring

INTEGRATIONS

MLFlow
Kubeflow
REST / SOAP
API gateway
Event-driven
File processing

Security posture reflects the live platform description. Specific certifications and named integrations are confirmed per deployment.

RESEARCH

From the research that informs the platform

WHY AVIRO AGENTS

Why operators choose Aviro Agents

INTEGRATION-NATIVE
Speaks to the systems you already run
Event listening, REST/SOAP, and a visual low-code builder mean less plumbing and faster time to value.
AVIATION-TRAINED
Agents shaped to real operating roles
IROPs, maintenance, and crew agents are built around how airlines actually run, not generic automation.
DEPLOY ANYWHERE
Private or public cloud, low footprint
A low-resource architecture runs where your data and governance require it.

FAQ

Common questions

Bring Aviro Agents to your operations.
Schedule a demonstration.

Schedule a demonstration Talk to engineering

See Aviro E-Box

Autonomous AI agents,built for aviation operations

When the day breaks, plans recompose in seconds

What Aviro Agents is

Recompose the operation the moment it breaks

Schedule maintenance around evidence, not the calendar

Keep crews legal, rested, and in the right place

See disruption coming, not just unfolding

Plan work around real signals

Recover schedules within the rules

Stop losing projects to plumbing

One source of truth across systems

Efficiency, cost, and advantage you can measure

How an Aviro Agent thinks

Ingest

Reason

Coordinate

Audit

Predictive maintenance under telemetry uncertainty [DRAFT]

Recovery sequencing for irregular operations [DRAFT]

Crew assignment as a constrained optimization surface [DRAFT]

Speaks to the systems you already run

Agents shaped to real operating roles

Private or public cloud, low footprint

How does Aviro Agents integrate with our existing systems?

Where does it run?

What data does an agent need?

How are agent decisions logged for audit?

Can we deploy our own models?

How is the platform priced?

Which operators are using it today?

How long does deployment take?

Bring Aviro Agents to your operations.Schedule a demonstration.

Autonomous AI agents,built for aviation operations

When the day breaks, plans recompose in seconds

What Aviro Agents is

Recompose the operation the moment it breaks

Schedule maintenance around evidence, not the calendar

Keep crews legal, rested, and in the right place

See disruption coming, not just unfolding

Plan work around real signals

Recover schedules within the rules

Stop losing projects to plumbing

One source of truth across systems

Efficiency, cost, and advantage you can measure

How an Aviro Agent thinks

Ingest

Reason

Coordinate

Audit

Predictive maintenance under telemetry uncertainty [DRAFT]

Recovery sequencing for irregular operations [DRAFT]

Crew assignment as a constrained optimization surface [DRAFT]

Speaks to the systems you already run

Agents shaped to real operating roles

Private or public cloud, low footprint

How does Aviro Agents integrate with our existing systems?

Where does it run?

What data does an agent need?

How are agent decisions logged for audit?

Can we deploy our own models?

How is the platform priced?

Which operators are using it today?

How long does deployment take?

Bring Aviro Agents to your operations.Schedule a demonstration.

Bring Aviro Agents to your operations.
Schedule a demonstration.

Bring Aviro Agents to your operations.
Schedule a demonstration.