Data & AI Consultancy
Iseyon is the consulting team enterprises bring in to get business intelligence right. We design the platform, build the models and reporting that sit on it, and hand your team something they can run. Snowflake, Databricks, Power BI, Tableau, Palantir, Anaplan.
Our Products
Both of these started as consulting work we found ourselves doing more than once, so we built them properly. The consulting is still the main event; these are what came out of it.
xFalcon connects to your warehouse, learns your definitions, checks every answer, and gives every user the same governed truth.
Opens xfalcon.ai, our product site.
What changed
Movement in the numbers since the last time you looked, ranked by what matters.
See why
The drivers behind the movement, checked against your own metric definitions.
What to do
The next action, with the working shown so you can present it as your own.
Smart Retail Forecasting Made Simple
Each practice is named for the problem, not the tool. The platforms behind each one are on the service pages.
Reporting exists, but no two teams agree on which number is right.
Three answers
One definition
We rebuild the layer underneath the dashboards so a metric carries one definition, then rebuild the reporting against it and hand the standards to the people who own it.
Explore Analytics & BI modernizationThe data sits in systems that were never meant to be read together.
Disconnected systems
One foundation
Warehouse foundations, ingestion and orchestration, built so the analytics on top are extended when the business changes rather than rebuilt from scratch.
Explore Data platform engineeringThe pilot works in a demo and cannot be trusted with a real decision.
Works in a demo
Trusted with a decision
AI built on the governed layer, with the retrieval, the checks and the audit trail that let someone put their name on the answer.
Explore AI & agentic systemsThe plan lives in spreadsheets, and the actuals arrive too late to change it.
Actuals arrive too late
Plan and actuals together
Planning and operational models wired to the systems that hold the real numbers, so a forecast and what actually happened sit side by side.
Explore Planning & operationsMost engagements start at one and move to the next, and each ends with your team running it without us.
For teams who know something is wrong but not what to build.
What happens
Your team ends with
An architecture and a roadmap your team can take to a budget holder.
For when the data underneath the decision does not exist yet.
What happens
Your team ends with
Models, pipeline code and documentation in your own repositories, plus engineers who built them.
For the stretch after go-live, where BI either stays trusted or rots.
What happens
Your team ends with
The platform in your own team's hands, on a handover schedule agreed at the start.
Not sure which one fits? Tell us what is breaking.
Reporting your team trusts. A warehouse that earns its cost. Forecasts that land before the decision, not after it. Tell us where you want to get to and we will tell you how we would build it.
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