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Data & AI Consulting

Turn enterprise data into decisions you can defend.

Iseyon is the consulting side of the company behind xFalcon. We modernize BI, build the data platform underneath it, put governed AI to work and connect plans to actuals. Then your team runs it. Hire us for a project, a dedicated consultant, advisory or BI administration.

Talk to an expertHow to hire us

The outcome

Decisions you
can defend

Analytics & BI modernization

Metrics people agree on.

Data platform engineering

Foundations built to change.

AI & agentic systems

Answers with receipts.

Planning & operations

Plans connected to actuals.

Our Products

Everything we know about analytics, productized.

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.

xFalconFlagship

Business intelligence for the AI era.

xFalcon connects to your warehouse, learns your definitions, checks every answer, and gives every user the same governed truth.

Explore xFalconSee live demos

Opens xfalcon.ai, our product site.

xFalcon

  • 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.

xCaria

Smart Retail Forecasting Made Simple

  • Real-time Forecasting
  • Demand Planning
  • Risk Management
Explore xCaria

Four problems we get called in to fix.

Each practice is named for the problem you arrive with. The platforms behind each one are on the service pages.

Analytics & BI modernization

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 modernization

Data platform engineering

The 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 can be extended when the business changes.

Explore Data platform engineering

AI & agentic systems

The 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 systems

Planning & operations

The 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 & operations
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Three ways to bring us in.

Most engagements start at one and move to the next. Each ends with your team running the result.

  1. Advise

    For teams that know the reporting is wrong and need a plan for fixing it.

    What happens

    • Assessment of the estate you have: what exists, what is trusted.
    • Target architecture, and platform selection scored against your workloads and skills.
    • A sequenced roadmap: what gets built first, and what it depends on.

    Your team ends with

    An architecture and a roadmap your team can take to a budget holder.

  2. Build

    For when the data behind the decision still has to be built.

    What happens

    • Warehouse foundations and pipelines: modelling, ingestion, tests, lineage.
    • A governed semantic layer, so revenue means one thing everywhere.
    • Dashboards, then AI on top once the definitions hold.

    Your team ends with

    Models, pipeline code and documentation in your own repositories, plus engineers who built them.

  3. Run

    For the years after go-live, when the numbers stay trusted only while someone owns them.

    What happens

    • Managed delivery of the backlog on an agreed cadence.
    • Pipeline and refresh monitoring, with a named person accountable.
    • Definition governance, and enablement for the analysts who inherit it.

    Your team ends with

    The platform in your own team's hands, on a handover schedule agreed at the start.

Four ways to hire us

Project work
A scoped build with a named team, a dated plan and a handover at the end: a migration, a new warehouse, a reporting rebuild, an AI pilot taken to production.
Dedicated consultants
Full-time Iseyon engineers, analysts or architects embedded in your team for as long as you need them, onsite in the US or from our India delivery centre.
Advisory
Senior time for the decisions that are expensive to get wrong: platform selection, architecture review, roadmap, vendor negotiation, a second opinion on a proposal.
BI administration
We run your Power BI, Tableau, MicroStrategy or Snowflake estate: access, refreshes, capacity, cost, upgrades and the support queue, with a named person accountable.

You see the rate card in the first conversation. A blended US and India team keeps the rates well below what a US-only firm charges for the same work, projects are priced to a fixed scope, and administration runs on a fixed monthly fee.

Talk to us

Unsure which fits? Tell us what is breaking.

Our partners

  • AWS
  • Databricks
  • Informatica
  • Lancet
  • Microsoft
  • Shopify
  • Snowflake
  • Strategy
  • Tableau

Let's talk about what your data should be doing.

Reporting your team trusts. A warehouse that earns its cost. Forecasts that land while there is still time to act. Tell us where you want to get to and we will tell you how we would build it.

Talk to us