DATA · OPTIMIZATION · APPLIED AI
Turn fragmented data into clearer forecasts, practical resource plans, and decisions your team can act on.
For operations and business leaders—with experience in aviation and cruise travel.
One business problem. An agreed baseline. A measurable pilot.
SELECTED CLIENT EXPERIENCE
Experience with the complexity
of real-world operations.
01 / BUSINESS PROBLEMS
The right starting point is a costly, recurring problem with an owner, usable data, and a result you can measure.
“We need a more reliable view of demand.”
Bring historical patterns and business inputs together to support demand, capacity, and inventory decisions.
Forecast error against your current baseline.
“Our resource plans take too much manual work.”
Evaluate scheduling and resource choices while accounting for capacity, cost, and operational requirements.
Planning time, cost, and constraint compliance.
“We spend too much time reconciling reports.”
Connect fragmented sources, reconcile definitions, and give your team a dependable view of the business.
Manual hours, data exceptions, and traceability.
Data engineering / Analytics & BI / Mathematical optimization / Machine learning / Focused AI automation
AVIATION & CRUISE TRAVEL02 / RELEVANT EXPERIENCE
Our client experience includes Carnival Cruise Line and Spirit Airlines, a former client.
We bring data analysis and optimization expertise to businesses where decisions connect across teams, systems, and resources.
Have an internal data team? We can discuss a focused project alongside them. Building that capability for the first time? We can help identify a practical starting point.
Talk through your operational challenge03 / VOYAGE ANALYTICS · PRODUCT DEMO
Explore our product demo for network planning teams: monitor fleet conditions, compare provider options, and review forecasts in one workspace.
Bring fleet indicators, demand and capacity trends, and quality of experience (QoE) into one view. The executive dashboard highlights exceptions for the planning team to review.
Snapshots of our product demo. Displayed figures are demonstration outputs, not verified client results or performance commitments. The provider comparison uses simplified assumptions; live pricing, route coverage, capacity limits, and contracts are not modeled.
Book a product walkthrough04 / A FOCUSED FIRST ENGAGEMENT
Start with an Operational Decision Pilot. We agree on the baseline and success measures before building.
Discuss a pilotScope, timeline, and fees are agreed after reviewing the problem and data readiness.
Identify the business owner, current process, relevant data, and the metric that will determine success.
OUTPUT / A focused problem statement and evaluation planPrepare the data, develop a focused solution, and review its outputs with the people who do the work.
OUTPUT / A working prototype and documented assumptionsEvaluate performance against the baseline, including delivery effort and limitations, before committing to deployment.
OUTPUT / Findings and a recommendation to proceed, refine, or stopOne accountable business owner · Access to relevant data · An agreed measure of success
THE EXPERTISE BEHIND XALPHA AI
Founder & CEO · Ph.D. in Mathematics and Optimization, University of Florida
Xalpha AI brings mathematical optimization, data engineering, and applied AI together around a practical question: how can your team make a better decision, and how will you know?
Start a conversation05 / BEFORE WE START
The work starts with your data, business rules, and operational workflow. A project may involve integrating systems, forecasting, constrained optimization, or automation. AI tools can be part of the solution; the pilot evaluates whether the overall approach improves your chosen business metric.
Yes. We can discuss a focused engagement that adds specialist capacity to your team, with responsibilities, documentation, and handover agreed at the start.
We can start by reviewing the problem and available data. Company size alone does not determine fit: a clear business need, accessible data, and an owner for the project are more useful starting points.
Timing and fees depend on data readiness, integration needs, and scope. After the initial discussion, we agree on deliverables, a timeline, and commercial terms before work begins.
Private cloud deployment is an option. We discuss infrastructure, access controls, and data handling with your team when defining the engagement.
You retain ownership of your data. Ownership and licensing of custom code, models, and third-party components are defined in the project agreement before work begins.
06 / LET’S FIND YOUR STARTING POINT
Tell us about the process, what makes it difficult today, and what a better outcome would look like.
Choose a time to talkSchedule directly with Microsoft Bookings.
Prefer email? Use the form or write to us.
This form drafts an email for you to review and send.
