Axiomra

Business Intelligence Services

Turn Raw Data Into Decisions You Can Defend

We pull your scattered data into one place, clean it, model it, and ship dashboards that tell your team what to do next. Working, not demoed.

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500+ projects · 85+ engineers · 30+ countries

Sample data

Revenue
+18%
Churn
↓ 4.2%
Forecast accuracy
92%

Delivered on the platforms your team already uses

  • Power BI
  • Tableau
  • Looker
  • Snowflake
  • Databricks
  • BigQuery
  • AWS
  • Azure
  • GCP

AI-first BI partner

Dashboards Are Easy. Trusted Numbers Are Not.

Most BI projects fail before the first chart: definitions disagree, pipelines break quietly, and nobody trusts the totals. We start with the data foundation, agree every metric with the people who own it, then layer forecasting and AI on top, so the dashboard your board opens on Monday matches the number finance closed on Friday.

500+

Projects delivered

85+

In-house engineers

30+

Countries served

170+

Partnerships

Recognised & certified

  • Clutch Top Artificial Intelligence Company, UAE 2025
  • Globee Awards 2024 Bronze Winner, Technology
  • Vendorland 2025 AI Consulting
  • Clutch Top Machine Learning Company, UAE 2025
  • Corporate Vision Technology Awards 2024
  • Axiomra as seen on Tech Behemoths
  • Clutch Top Artificial Intelligence Company, UAE 2024
  • The Marfest Most Reviewed NLP Company, UAE
  • Clutch Top Artificial Intelligence Company, UAE 2023
  • Top Firms Top Web Development Company
  • TrueFirms Top AI Companies, UAE 2023

Business intelligence services

Eleven Ways We Turn Data Into Decisions

Pick a single service or the full stack. Every engagement is scoped around the decisions you need to make, not the tools we prefer.

  • BI Consulting

    An honest read of where your reporting stands and a roadmap to where it should be, prioritised by business value rather than technical neatness.

    • Current-state audit of reports, tools and data owners
    • KPI framework agreed with each department
    • Platform recommendation with cost and skills trade-offs
    • Phased roadmap with quick wins in the first month

  • Enterprise BI

    Governed, organisation-wide reporting with one semantic layer, role-based access and performance that holds up at thousands of users.

    • Central semantic model and certified datasets
    • Row-level security mapped to your org chart
    • Usage monitoring and capacity planning
    • Report catalogue so teams stop rebuilding the same chart

  • Data Warehousing & ETL

    A modern warehouse or lakehouse fed by tested, documented pipelines, so every report reads from one version of the truth.

    • Dimensional and lakehouse modelling
    • ELT pipelines with dbt tests and lineage
    • Incremental loads and change data capture
    • Cost-aware compute and storage design

  • BI Support & Maintenance

    Ongoing care for dashboards, models and pipelines: failures caught before your users notice them, and small changes shipped without a new project.

    • Pipeline monitoring and failure alerts
    • Refresh, capacity and performance tuning
    • Backlog of report changes handled monthly
    • Platform upgrades and licence reviews

  • Data Analytics

    Analysts who answer the question behind the request: cohort, funnel and margin analysis that ends in a recommendation, not a spreadsheet.

    • Ad-hoc and recurring deep-dive analysis
    • Cohort, funnel and retention studies
    • Pricing and margin analysis
    • Findings written up for decision makers

  • BI Implementation

    End-to-end rollout of Power BI, Tableau, Looker or an open-source stack, on-premise or cloud BI on AWS, Azure or GCP.

    • Platform setup, workspaces and governance
    • Cloud BI deployment on AWS, Azure or GCP
    • Source connections and gateway configuration
    • Launch dashboards built with your users

  • BI Migration & Modernization

    Move from legacy reporting, spreadsheets or an ageing BI tool to a modern stack without losing the reports people rely on.

    • Inventory of reports, owners and usage
    • Like-for-like rebuilds with reconciliation
    • Side-by-side running before cut-over
    • Retirement plan for the old platform

  • Predictive Analytics

    Forecasting and machine learning built into the dashboards your team already opens: demand, churn, cash flow and risk, with accuracy tracked over time.

    • Demand and revenue forecasting
    • Churn and propensity scoring
    • Anomaly detection on key metrics
    • Model accuracy reported alongside the forecast

  • Data Extraction

    OCR and document parsing that pulls structured data out of PDFs, invoices, forms, emails and EHR exports, then loads it straight into your warehouse.

    • Invoices, receipts and purchase orders
    • Scanned forms and contracts
    • Email and attachment parsing
    • EHR exports with access controls in place

  • Web Scraping

    Scheduled collection of public web data, such as prices, listings and reviews, cleaned and joined to your internal numbers. We respect site terms and robots rules and collect public data only.

    • Competitor pricing and catalogue tracking
    • Listings, reviews and market signals
    • Scheduled runs with change detection
    • Public data only, within each site's terms

  • Self-Service BI

    Curated datasets and training so business users build their own reports safely, without waiting in the data team's queue.

    • Certified, documented self-service datasets
    • Templates for common questions
    • Hands-on training by role
    • Guardrails that keep numbers consistent

How data becomes a decision

From Chaos To Clarity

Every BI engagement follows the same path. What changes is how much of it you already have.

  1. 01

    Sources

    CRM, ERP, spreadsheets and APIs, connected where they live.

    • CRM
    • ERP
    • Sheets
    • APIs
  2. 02

    Warehouse

    Everything lands in one governed store, refreshed on a schedule you set.

    • Snowflake
    • BigQuery
    • Lakehouse
  3. 03

    Model & Clean

    Duplicates removed, definitions agreed, tests on every metric.

    • dbt
    • Tests
    • Semantic layer
  4. 04

    Dashboard

    Decision-ready views for every role, with forecasts built in.

    • KPIs
    • Forecasts
    • Alerts

What you get

A Dashboard Your Team Actually Opens

Built in code for this page, the same way we build them for clients: clear hierarchy, one question per chart, and the forecast sitting next to the actuals.

Commercial overview

Sample data
Monthly revenue
$1.42M+12.4%
Gross margin
38.6%+2.1 pts
Churned accounts
41-18%

Revenue, actual vs forecast ($k)

JFMAMJJASOND
ActualForecast

Sales index by region

Revenue by channel

  • Direct46%
  • Partner31%
  • Marketplace23%

Our work in practice

Business Challenges Solved With AI

Explore selected projects to see the challenge, the solution we developed, and the outcomes measured after deployment.

Konnect

AI-Based Recommendation Engine

50X

Match accuracy

30%

Filters automated

1M+

Users connected

Doozoo

AI Graphic Design Automation

90%

Recipe accuracy

40X

Faster customization

30s

Delivery time

FluentTalk AI

AI Language Tutor

87%

Learning automated

80%

Time saved

21+

Languages

FN-AD

AI Fashion Brand Matching

47%

Productivity lift

50%

Lead conversion

5.0

Quality rating

Pitchmark

AI Marketing Pitch Automation

10X

Report generation

70%

Fewer review edits

10-15

Pitches / day

Industries we serve

BI Built Around How Your Industry Works

Build solutions for:

Healthcare

  • Patient flow and bed occupancy dashboards
  • Readmission risk scoring
  • Claims and revenue-cycle analytics
  • Clinical quality and compliance reporting
  • Staffing forecasts by department
Explore AI for Healthcare

Tools we deliver with

A Stack Chosen For Your Data, Not Our Habits

  • Power BI
  • Tableau
  • Looker
  • Qlik
  • Metabase
  • Superset

How we deliver

Nine Steps From Kick-off To Clarity

  1. 01

    Discovery & goals

    Workshops with leadership and data owners to pin down the decisions BI must support.

  2. 02

    Data source audit

    We map every source, its owner, refresh rate and quality, and flag gaps early.

  3. 03

    KPI & metric definition

    Each metric gets one written definition, one owner and one calculation.

  4. 04

    Technology selection

    Power BI on Azure, Tableau on Snowflake, or an open-source stack, chosen on data volume, team skills, existing infrastructure and budget.

  5. 05

    Warehouse & ETL build

    Pipelines, models and tests built and documented in version control.

  6. 06

    Dashboard design & build

    Wireframes first, then dashboards built and reviewed with real users every sprint.

  7. 07

    User acceptance testing

    Numbers reconciled against source systems and signed off by each owner.

  8. 08

    Go-live & team training

    Phased rollout with role-based training sessions and written guides.

  9. 09

    60-day support

    60 days of post-launch support for fixes, tuning and small changes.

Why Axiomra

A BI Partner That Stays After Launch

  • Deep BI expertise across industries

    Engineers and analysts who have shipped data products in 12 industries, from clinical reporting to retail forecasting.

  • 60-day post-launch support

    60 days of fixes, tuning and small changes after go-live, at no extra cost.

  • Free team training

    Role-based training for report builders and viewers, so adoption does not stall once we step back.

What clients say

Teams That Trust Our Work

“They communicated with me and we developed trust over the years. Project management is great: the willingness to take any problem and get through it is impressive.”
Adam GawronFounder, Upstar
  • Picture Perfect
  • BULL
  • Deep Duck
  • Fashionnet
  • Fluent Talk AI
  • FormOlé
  • Front Office
  • GPT Tune

Not Sure Which BI Service You Need?

Book a free 30-minute consultation. Tell us what decisions you are struggling to make and we will tell you, honestly, what it takes to support them.

Book a Free 30-Minute Consultation

Business intelligence, answered

Frequently Asked Questions

BI consulting, enterprise BI, data warehousing and ETL, BI implementation (including cloud BI), migration and modernization, data analytics, predictive analytics, data extraction, web scraping of public data, self-service BI, and ongoing support and maintenance.