Airlines · Passenger · Cargo
Everyone can see the delay. Almost nobody agrees on why.
Airlines run on some of the thinnest margins and most data intensive operations of any industry. The infrastructure to capture that data is largely in place. What is missing is a single, governed view of performance that means the same thing to operations, commercial and the board, whether you run the airline or you build the software airlines run on.
What makes Panintelligence different
The data exists. The trust in it does not.
Airlines have invested heavily in operational data platforms, and that investment case was sound. The problem is that reporting still largely sits outside the operational flow. Teams extract, reconcile and present data after events have already happened, which means the gap is not between having data and not having it, but between what has happened and what is understood, and then between what is understood and what is actually acted on.
Underneath this sits a more specific problem. Metrics such as on time performance, delay classification, load factor and route profitability are frequently calculated differently across systems or teams. Over time this produces conflicting interpretations of performance, reduced confidence in the numbers, and a growing amount of effort spent validating outputs rather than acting on them.
Built for the people actually making this decision
Chief Operating Officer
What is keeping them up at night
Disruption cascades through rotations, crew and passengers within minutes, and the team is always reacting a step behind.
How Panintelligence helps
Real time, governed visibility into disruption impact, surfaced to the team that can act on it immediately.
Chief Financial Officer
What is keeping them up at night
Regulatory and board reporting still takes days to assemble and reconcile across operational systems.
How Panintelligence helps
Automated, auditable reporting that moves from days to minutes, with every figure traceable to source.
Head of Product
What is keeping them up at night
Airline customers want real time operational dashboards inside your platform, and building it diverts engineering from the core roadmap.
How Panintelligence helps
White label, embedded dashboards that ship as part of your platform, on the same governed foundation as internal reporting.
Head of Commercial
What is keeping them up at night
Load factor and route profitability are calculated differently depending on who pulls the report.
How Panintelligence helps
One governed definition of every commercial metric, so every team works from the same number.
Where this shows up
Passenger operations.
On time performance and delay classification are the metrics most exposed to inconsistent definitions, and they are also the ones customers, regulators and the board scrutinise most closely.
Cargo operations.
Load and route profitability decisions depend on the same underlying data as passenger operations, and inconsistency between the two creates exactly the kind of reconciliation effort that slows a commercial decision down.
Ready to see it with your data?
A 14-day no-cost Proof of Concept connects to your actual data environment.
- The first dashboard is live on day one.
- No sample data.
- No hypotheticals.
- Real validation before you commit.
What changes with a single governed layer
Panintelligence sits across your existing operational, scheduling and revenue systems and builds one governed semantic layer on top, so on time performance, delay classification and route profitability mean the same thing wherever they are viewed.
PiDashboard is self service, so an operations controller or a commercial analyst can build and explore their own view during a live disruption rather than waiting on a central reporting team.
PiReport automates the regulatory and board reporting that currently takes days to assemble.
PiPredict brings explainable, human in the loop AI to disruption impact and demand signals, running on a bring your own LLM model so operational data never leaves your environment.
Built to sit inside the systems you already run
- Flight operations, crew scheduling and rotation planning systems
- Revenue management, GDS and cargo booking systems
- Data warehouses already in place: Snowflake, Databricks, BigQuery, Postgres and SQL Server
- White label embedding into your own operational or customer facing platform, with no separate login and no third party branding visible
Built for the standard aviation is actually held to
Data sovereignty
Zero data movement. Panintelligence queries your data in place, in your own infrastructure or in PiSaaS. Nothing is duplicated into a separate warehouse.
Explainable AI
Predicts runs on a bring your own LLM model, inside your own governance boundary. Every output is interrogatable, not a black box.
Auditability
Every figure in every dashboard and report traces back to source through the same governed semantic layer, with a full permissions and access audit trail
Purpose-Built for aviation
Panintelligence has delivered reliability, speed, and control. It’s doing exactly what we need—and will grow with us as our needs evolve.”
Robin Smallwood
Head of Systems, BermudAir
BermudAir went live with over 60 reports in under 8 weeks and moved regulatory reporting from days to minutes.
UK support
UK based implementation and support teams, in your timezone, with GDPR native data handling as standard rather than an add on.
What this looks like in practice
If you are running this inside your airline
Disruption impact and response
Challenge
Disruption cascades through rotations, crew and passengers within minutes, faster than a manual reporting process can keep up.
How Panintelligence helps
Real time, governed dashboards surface disruption impact to operations teams as it happens, not in a report reviewed afterwards.
Outcome
Faster, more consistent response, and a clear record of what was known and when.
Consistent OTP and delay classification
Challenge
On time performance and delay classification are calculated differently across teams and systems.
How Panintelligence helps
A single governed definition of every operational metric, used consistently across every dashboard and report.
Outcome
Less time spent reconciling figures, more time spent acting on them.
Regulatory and board reporting
Challenge
Regulatory reporting is accurate but takes days to assemble across operational systems.
How Panintelligence helps
Automated, auditable reporting built on the same governed layer as day to day operational dashboards.
Outcome
Regulatory reporting cycles that move from days to minutes.
If you are embedding this in your product
Embedded operational dashboards for aviation technology platforms
Challenge
Airline customers want real time operational visibility inside your platform, and building it in house means diverting engineering from the core roadmap.
How Panintelligence helps
White label, embedded dashboards ship as part of your platform, on the same governed data foundation as your internal reporting.
Outcome
Analytics becomes part of the product and the sales pitch, rather than a recurring support request.
Multi tenant reporting for cargo and route management platforms
Challenge
Airlines using your platform need their own governed view of load and route profitability, isolated from every other customer’s data.
How Panintelligence helps
Multi tenant, white label dashboards give each customer their own isolated view, carrying your brand throughout.
Outcome
Analytics becomes a reason airlines choose and stay on your platform.
What this is worth, in numbers you can check
| Lever | Evidence | How it is calculated |
|---|---|---|
| Time to value | BermudAir went live with over 60 reports in under 8 weeks. | Time from contract to first live, governed dashboard on your own data. |
| Regulatory reporting speed | BermudAir’s regulatory reporting moved from days to minutes. | Cycle time reduction for a recurring, previously manual reporting process. |
| Governance and audit readiness | Every figure traces to source through one governed semantic layer with a full permissions audit trail. | Reduction in time spent reconstructing evidence for an audit or regulatory request. |
| Commercial differentiation | Embedded analytics becomes part of the product for aviation technology platforms, not a support cost. | Customer adoption of in-platform reporting, and its role in retention and sales conversations. |
Questions worth asking before you buy anything
Why Panintelligence is different
Most analytics vendors are built for enterprises with large BI teams and long implementation timelines. Panintelligence is built for organisations that need analytics to work quickly, transparently, and without the overhead, whichever way they choose to deploy it.
