Build with AI

Modernise airline operations in ways you never thought possible.

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Real AI.
Real outcomes.

Your agents don't arrive empty. When you connect to Aura via MCP, they inherit the operational logic of departure control, load management, turnarounds and ground handling — domain knowledge built specifically for airline operations. The conversation stops being about NDC versions, Offer/Order or PNRs and starts being about what your operation can actually do.

You build the intelligence. We provide the operational context.

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Domain logic out of the box

No need to teach your agent what a load sheet, a turnaround sequence or a DCS function is. That operational knowledge is already encoded. You connect, it understands.

Act, don't just query

Your agents don't just read data. They call functions and trigger actions across departure, load and ground handling workflows in real time.

Covers the full turnaround

One MCP connection spans Departure Control, Load Control, Baggage, Turnarounds and Ancillaries. Not a narrow point integration, but the entire operational scope.

Security and compliance included

Audit controls, access management and compliance are built into the connection layer. Your IT governance requirements are covered without building a separate layer on top.

Bring your own LLM

Works with Claude, GPT, Gemini and any MCP-compatible framework. No lock-in to a specific model or vendor ecosystem.

Start from 16 agents, not from zero

Pre-built agents across operational domains are ready to use, extend or combine. You build on top, not from a blank prompt.

MCP Connector

MCP (Model Context Protocol) allows LLMs like Claude to interact directly with our systems.

Get your AI to interact with Orders and PNR data, calling functions and seeing responses. Security, compliance, and audit controls are built in.

What this means
for your team

AI Agents

Your agents read and act on live operational data: load plans, passenger records, turnaround status,  without you building the connectors yourself.

LLM Frameworks

Every major LLM framework works: Claude, OpenAI Agents SDK, Gemini.

INK's Operationa Logic

You inherit Ink's operational logic. The domain knowledge is already there; you build on top of it, not from scratch

Operational scope

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Team behind the code

We obsess about the operational scope. Our dedicated AI team has been implementing AI in everything we do since 2024.

Use our MCP and Agentic AI to save weeks or months of development time.

Total MCP calls processed
XX
MCP calls processed
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Totla AI Agents ready
16
AI Agents ready to connect
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Agent to Agent

A2A (Agent to Agent) goes beyond MCP. It defines how agents communicate with one another, delegate tasks, and coordinate within agentic teams.

01
Create novel workflows by getting your agents to communicate with ours.
02
Solve complex multi-step problems that previously depended on human involvement.

Examples of what
this unlocks

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