Airlines, operators and charter companies operate in an environment defined by speed, complexity and high responsibility. Data must be available quickly, consistently and reliably — while processes must remain clearly structured, scalable and operationally secure.
We help create exactly this interplay of technology, data and process architecture — and we know the industry from more than projects: Arkcanis holds a stake in a flight operation, at times including aircraft-owning companies of its own. The questions asked on the owner side are familiar from experience.
Opaque Flight Ops data makes precise steering of Operations, Sales and Dispatch difficult. Critical information is often scattered across Leon, Excel or manually maintained spreadsheets – without a consistent structure or single source of truth. Decisions are therefore not based on real-time data, but on isolated views. This leads to delays, misinterpretations and inefficient information flow across all teams.
Manual exports from Leon are time-consuming, error-prone, and hinder consistent data availability. Information often has to be compiled and post-processed by hand, leading to inconsistencies, redundant steps, and outdated reports. Our integrations and ETL pipelines automate the entire export process and ensure that Leon data is always current, structured, and reliably available.
Without real-time KPIs, Flight Ops, Sales, and Management lack immediate visibility into utilization, performance, and financial metrics. Decisions are then based on outdated reports instead of current, reliable data. Trends, variances, or operational risks are recognized too late. As a result, the company can neither steer optimally nor respond quickly enough to change.
A strong reliance on Excel workflows leads to isolated data silos, manual errors and a lack of process reliability. Critical decision-making information is often maintained in unofficial spreadsheets that are neither versioned nor centrally controlled. This results in inconsistencies between teams and prevents key KPIs from being derived reliably. Scalability and operational stability fall far short of what modern data systems can provide.
Automated. Reliable. Scalable.
Leon is the central operational system for many AOCs. We build custom connections, data pipelines and data models that make your Leon data consistent and reportable — for Flight Ops, Sales, Finance and Management.
Through the GraphQL interface we access exactly the Leon data that is needed — structured and without manual exports. The queries produce the data flows for processing, connections and metrics, refreshed at the agreed interval.
The cleansing and normalization of the Leon data ensure that information becomes consistent, comparable, and technically usable. Duplicates, formatting errors and inconsistent structures are handled by agreed rules; whatever cannot be resolved unambiguously stays visible rather than being quietly corrected. That gives reporting and metrics a foundation that holds.
By optimizing data quality for Finance & Controlling, invoices, realizations, and key financial figures become significantly more reliable. Consistent, well-structured data enables precise analyses, transparent reporting, and sound financial decisions.
Leon data in Jira
We connect Leon and Jira so that flight requests, legs and changes from Leon automatically land in Jira as structured issues – including subtasks, history and archiving. Jira becomes the central interface for Sales, Dispatch and Flight Ops.
We design Grafana dashboards that turn Leon, Jira and other system data into clear views — for Flight Ops, Sales, Finance and Management.
We develop processes that run end to end and can be measured and followed, guided by the PDCA cycle. That creates structures which are not only documented but actually managed.
We need a Leon account with API permissions and a contact from flight ops who knows what the data means operationally. Together we pick a first data flow — usually flight requests or legs — to prove out the query, the processing and the target structure before others follow.
You receive the working connection, the processing steps and a description of the fields used, including where they come from in Leon. Testing and acceptance run against real data from your operation, not against samples.
Not included: running the connection after acceptance, and changes to the flight operations system itself — nothing is modified inside Leon, it is read through the interface.
Where the data flow matches the standard path from Leon into Jira, the maintained Leon ↔ Jira integration is the faster route. Custom engineering pays off where your structure differs from it.
Tell us briefly what it is about – we will get back to you.