Strategy consulting & advisory
We identify the gaps in your data assets and formulate a roadmap that aligns with your goals — costed, sequenced and owned.
Explore advisoryData & AI consultants
MOD is a data & AI consultancy. We start with your situation — reporting you cannot trust, a hire you cannot make, a stalled platform migration, an AI use case — and package a senior team to fix it, then hand it over.
100% delivery success — delivered worldwide across seven regions
Where are you right now?
Most teams do not wake up wanting “data engineering.” They have a situation. Find yours below and see exactly how we help.
Your dashboards disagree and the data is scattered across tools
For Founders, COOs & marketing leaders
See how we helpThe roadmap is ready but hiring data talent is too slow
For CTOs & engineering leaders
See how we helpGrowth has outpaced your data foundation and the numbers disagree
For Founders, Heads of Data & COOs
See how we helpYour Snowflake, Databricks or BigQuery move has stalled
For CIOs, Heads of Data & platform owners
See how we helpThere is budget and ambition but no agreed, costed plan
For C-suite & Heads of Data / Analytics
See how we helpA manual, high-cost workflow is ready for AI — done safely
For Functional executives & CTOs
See how we helpYour platform is business-critical but the team is stretched
For Heads of Data Platform & CIOs
See how we helpOur core services
We turn scattered data into smart decisions and AI-driven products that cut cost, raise productivity and deliver measurable return.
We identify the gaps in your data assets and formulate a roadmap that aligns with your goals — costed, sequenced and owned.
Explore advisoryWe make sure your data is clean, valid and ready to act on, and that it flows seamlessly across every platform you run.
Explore engineeringCustomised training and enablement so your team can sustainably use the new tools, processes and insights we leave behind.
Explore enablementHow to start
From a free diagnostic to a managed platform — small, bounded first steps, each earning the next.
A scored diagnostic of your governance, platform, analytics and AI readiness.
Learn more 2–4 weeksA current-state audit and a costed, sequenced roadmap leadership can act on.
Learn more 4–6 weeksOne bounded use case taken to a working, measured POC before you commit.
Learn more ~8 weeksA defined build — pipelines, models and dashboards — tested and handed over.
Learn more OngoingSenior data, analytics and ML engineers embedded in your team and repos.
Learn more OngoingWe run, monitor and improve your platform so it stays reliable after launch.
Learn moreExplore our services
Every engagement runs the same way — a small pod, two-week cycles, production early. What changes is where we point it.
Strategy, generative AI, copilots and RAG systems — taken from pilot to a governed production service.
ExploreAutonomous agents that take scoped, reversible action in your real systems, with a full audit trail.
ExplorePipelines, integration, observability and analytics engineering that make the numbers trustworthy.
ExploreCloud-native lakehouse and warehouse foundations — governed, cost-controlled and portable.
ExploreCertified metrics, decision surfaces and embedded analytics that change what people do.
ExploreForecasting, segmentation, lifetime value and deep learning, built to ship and stay correct.
ExploreData-intensive and AI-native products, shipped as thin vertical slices and handed over properly.
ExploreBenchmark against DAMA-aligned levels and your sector, then close the two gaps that matter.
ExploreWhy MOD
The delivery discipline that earned a 100% success rate across seven regions — sized, priced and handed over for a team like yours.
You always know what is shipping this week and what it is worth — progress is public, not a quarterly status deck.
Code, models, dashboards and infrastructure live in your accounts from day one. No lock-in, no black boxes.
The people on the kickoff call are the people who deliver — and your team pairs with ours so the capability stays.
If the numbers do not support a build, we tell you. Straight advice is what you are actually paying for.
Tech partners
By the numbers
A 100% delivery success rate, on real data and AI programmes for teams from fast-growing startups to global enterprises.
Platforms
Delivery model
One delivery model, whatever the engagement — five stages from first call to the day you no longer need us.
Mapping sources, decisions and blockers into a clear, costed plan you keep either way.
Architecture, data models and use cases, right-sized to your team and cloud.
Weekly sprints against a visible backlog. Every asset version-controlled and yours.
Pipelines and models tested with PyTest and Great Expectations before they ship.
Deployed into your cloud, with your team trained to run it.
Observability, alerting and continuous improvement after go-live.
Client view
We measure engagements on decisions changed, not dashboards delivered.
Industries
Whatever your sector, we tailor the solution to the challenges you actually have — so you lead your industry with confidence.
Success stories
A selection of engagements — from enterprise data platforms to AI products — and what changed on each. Hover to pause.
A digital-transformation programme that consolidated marketing and CRM data across the region on Azure and Power BI, with a custom lead-management automation built on Power & Logic Apps.
HR data marts on SAP feeding automated daily ingestions through AWS Glue and Databricks, on a medallion architecture, so planners could see available resource against production targets.
Data strategy and cloud architecture on Google Cloud, ingesting 50+ sources through Stitch, modelled in dbt and surfaced to the CEO and Head of Product in Looker Studio.
A conversational, question-first platform where table, column and SQL-generation agents turn plain English into queries across PostgreSQL, BigQuery and MySQL.
A custom API pings IoT sensors across oil fields into MongoDB, transformed in Python and surfaced in a Dash dashboard at individual-sensor granularity for predictive maintenance.
An all-in-one AI chatbot platform — create, train on your own documents, customise and embed on any site — built on Gemini and ChatGPT with a ChromaDB retrieval layer.
PII-safe client segmentation with DataIKU machine-learning pipelines that identify high-potential clients for advisers, validated with PyTest and Great Expectations.
An n8n workflow that scores CVs with the Gemini API, auto-shortlists candidates, tracks multi-stage interviews and books them through Calendly and Google Calendar.
Plug-and-play object tracking, image tracking and plane detection for Flutter, React Native and native, with on-device YOLO inference for speed, privacy and offline use.
An outreach engine that codifies top-performing campaign patterns into AI instructions and generates three tailored variants per lead using GPT and Gemini.
A platform for a GCC client that onboards and verifies corporates and banks, runs transparent bank bidding, and manages LCs, LGs, guarantees and risk participation end to end.
A digital-transformation programme that consolidated marketing and CRM data across the region on Azure and Power BI, with a custom lead-management automation built on Power & Logic Apps.
HR data marts on SAP feeding automated daily ingestions through AWS Glue and Databricks, on a medallion architecture, so planners could see available resource against production targets.
Data strategy and cloud architecture on Google Cloud, ingesting 50+ sources through Stitch, modelled in dbt and surfaced to the CEO and Head of Product in Looker Studio.
A conversational, question-first platform where table, column and SQL-generation agents turn plain English into queries across PostgreSQL, BigQuery and MySQL.
A custom API pings IoT sensors across oil fields into MongoDB, transformed in Python and surfaced in a Dash dashboard at individual-sensor granularity for predictive maintenance.
An all-in-one AI chatbot platform — create, train on your own documents, customise and embed on any site — built on Gemini and ChatGPT with a ChromaDB retrieval layer.
PII-safe client segmentation with DataIKU machine-learning pipelines that identify high-potential clients for advisers, validated with PyTest and Great Expectations.
An n8n workflow that scores CVs with the Gemini API, auto-shortlists candidates, tracks multi-stage interviews and books them through Calendly and Google Calendar.
Plug-and-play object tracking, image tracking and plane detection for Flutter, React Native and native, with on-device YOLO inference for speed, privacy and offline use.
An outreach engine that codifies top-performing campaign patterns into AI instructions and generates three tailored variants per lead using GPT and Gemini.
A platform for a GCC client that onboards and verifies corporates and banks, runs transparent bank bidding, and manages LCs, LGs, guarantees and risk participation end to end.
Insights
No hype, no vendor pitch — short, specific writing from the people doing the work.
FAQ
Straight answers. If yours is not here, ask us on a call — we will tell you if we are the wrong fit.
Ask a questionTwo weeks to a costed roadmap, and a first use case in production in about six weeks. You are never more than a week from something you can look at.
No. Cleaning and modelling the data is most of the work — it is what we do. We start from the decision you want to change and build back from there.
From fast-growing startups to global enterprises. We have delivered for a Nestlé division and for GCC banks, and equally for founders shipping a first product. What matters is that there is a decision worth improving.
You do — everything, in your accounts and repositories from day one. Your engineers pair with ours so the handover is a formality.
Because we start from a decision with a number attached, not a model. If we cannot find one worth changing, we tell you not to build.
Next step
Thirty minutes with a delivery lead, not a salesperson. You leave with a point of view on your highest-value use case and what it takes to ship it.
Speak with our team today
Thirty minutes with a delivery lead — not a salesperson. Bring the problem you keep postponing and you will leave with a point of view on it.
