Data & AI strategy + engineering

Riyadh ↗ Working globally

Your data holds
the signals.
We turn them into
intelligent decisions.

We identify where data and AI can create business value, then build the systems and workflows to put it to work.

Book a discovery callExplore our work

45 minutes · With a senior practitioner · No charge

Intelligence in actionIllustrative example
01 / THE BUSINESS QUESTION

What needs replenishing
next week?

UNITS / WEEKActualForecast
Illustrative demand forecast compared with stock availabilitySimulated weekly demand is 68, 75, 71, and 84 units in weeks 1 through 4. Forecast demand is 93, 109, and 116 units in weeks 5 through 7. Available stock is 100 units per week. The forecast exceeds available stock in weeks 6 and 7. FORECAST 1201008060W1W2W3W4W5W6W7

Chart timeline runs from left to right.

Available stock · 100 units / week

THE SIGNAL

Demand is set to outpace available stock.

Planner approvalOutcome tracked

Business context. Human judgment. Applied intelligence.Explore below
Business-firstA decision worth improving
Your data. Your baseline.Evidence before investment
Built for productionInside your real workflows
Designed for handoverOwnership stays with you
01 / WHAT WE DOStrategy, connected to delivery

The right decision.
The capability to act.

From the first investment question to the system your team uses every day. Two connected practices. One accountable team.

PRACTICE / 01

Strategy & advisory

Choose where to create value.

Make the investment, commercial, and operating choices that give data and AI a clear role in your business.

AI & data strategy

Prioritize opportunities by expected value, feasibility, and time to impact. Decide what to build, buy, or develop with a partner.

WHAT YOU LEAVE WITHOpportunity portfolio · Investment roadmap

Data & AI monetization

Shape data-enabled offerings around a customer decision. Test the proposition, pricing, cost to serve, and implications for your existing business.

WHAT YOU LEAVE WITHOffering design · Commercial value model

Operating model & transformation

Define the decision owners, operating routines, capabilities, and governance needed to put the strategy to work.

WHAT YOU LEAVE WITHDecision architecture · Transformation roadmap

Discuss strategy & advisory
PRACTICE / 02

Engineering & delivery

Build the capability to act.

Connect the data, intelligence, and software that make better decisions part of everyday work.

Data platforms & integration

Bring the relevant operational data together. Build reliable pipelines and a usable foundation, working with the infrastructure you have.

WHAT YOU LEAVE WITHData pipelines · Analytics-ready foundations

Machine learning & decision systems

Develop forecasting, classification, and optimization systems. Evaluate them against your current method and the decision they need to support.

WHAT YOU LEAVE WITHTested models · Decision logic

Applications & production delivery

Put intelligence into the tools people use. Build the interfaces, APIs, monitoring, documentation, and handover needed to operate it.

WHAT YOU LEAVE WITHIntegrated applications · Production handover

Discuss engineering & delivery

Start with a focused advisory engagement, a delivery challenge, or an end-to-end initiative.

02 / SELECTED WORKFrom data to daily operations

Intelligence, inside
the work that matters.

Selected engagements across software, retail, financial services, and logistics. Client identities are withheld for confidentiality.

01 / SOFTWARE · EMBEDDED ANALYTICS

Churn intelligence.
Inside the product.

A global software company needed churn insights its customers could use in their everyday work.

The delivery
Data pipelines, machine learning, and an embedded product interface.
The operating change
Customers could use churn insights within the SaaS application they already worked in.
Customer intelligence•••
Retention workspaceEmbedded in the product

A clear path from risk signal to account review.

Customer dataRisk signalsAccount review
ACCOUNTSIGNALNEXT STEP
Account ANeeds reviewReview account
Account BStableContinue monitoring
Account CNeeds reviewReview account
Account actions feed the next review.

Delivery schematic · Illustrative interface

Explore the decision, delivery scope, and operating change behind each engagement.

Discuss a relevant case
03 / HOW WE WORKThe complete decision loop

Start with a decision.
Build the whole loop.

Useful intelligence has a path to action. We design the information, decision ownership, workflow, and feedback together.

THE SYSTEM WE DESIGN AROUNDYour business decision
  1. 01DataRelevant context
  2. 02SignalUseful intelligence
  3. 03DecisionA clear owner
  4. 04ActionAn operating change
  5. 05OutcomeMeasured results
01

Frame the decision

Choose the decision, owner, baseline, and business measure before choosing the technology.

A scoped value hypothesis
02

Validate on your data

Test the proposed approach against the current method, with clear criteria for moving forward.

Evidence for the investment
03

Build into the workflow

Connect the data, model, and application to the people and systems that will use them.

An operational decision system
04

Measure & hand over

Track actions and outcomes. Equip your team with the monitoring, documentation, and training to take ownership.

A system your team can run

Tested on your data. Measured against your baseline. Built for your operating reality.

04 / THE TEAM BEHIND THE WORK

The people you meet
are the people
who build.

Data InteliX is a Riyadh-based team of senior data and AI practitioners, working with enterprises across the region and beyond.

Meet us on a discovery call
01

Direct access to practitioners.

Work with the people shaping the strategy and building the system. Senior involvement continues throughout the engagement.

02

One team, from strategy to delivery.

The commercial question and the technical work stay connected, with clear responsibilities and agreed success measures.

03

Your team takes ownership.

Documentation, training, and handover are part of the scope. The system is designed for your people to run.

05 / SECOND-ORDERPerspectives for decision-makers

Think beyond
the obvious outcome.

The bigger questions about data and AI: who captures the value, what changes in the business, and which decision comes next.

AI MONETIZATION01

The answer sits in your pricing, costs, and ability to put freed capacity to work.

DECISION INTELLIGENCE02

Decision ownership and timing determine what happens after the model makes its prediction.

DATA MONETIZATION03

Turn accumulated expertise into a proposition built around a recurring customer decision.

LET’S FIND THE RIGHT PLACE TO START

Your next advantage
is already in your data.

Bring one business priority. We’ll explore the decision behind it, the data you have, and a practical next step.

Book a discovery call

45 minutes · Senior practitioner · No charge

admin@dataintelix.com
DATA INTELIX
A FOCUSED FIRST CONVERSATION

    Start with what you want to change.

    Two details, one question. Everything else is optional.

    What are you trying to achieve?

    Choose as many as apply. The first one you pick becomes your focus.