DiagnosticDon't scale in the dark. Benchmark your data & AI maturity against DAMA-aligned levels and your sector.Explore the diagnostic suite

Success stories

Real work, across data and AI

Data platforms, analytics and AI products delivered for teams from global enterprises to fast-growing startups. Where a client cannot be named, we describe them by sector and region.

MWRKJT
Delivery leads online — talk to a human, not a bot
11Engagements below
100%Delivery success
7Regions worldwide

100% delivery success — delivered worldwide across seven regions

AWS
Microsoft Azure
Google Cloud
Databricks
Snowflake
dbt
Power BI
Looker Studio
Azure Synapse
MongoDB
Python
LangChain
AWS
Microsoft Azure
Google Cloud
Databricks
Snowflake
dbt
Power BI
Looker Studio
Azure Synapse
MongoDB
Python
LangChain
Marketing · EMEA

Marketing and CRM data unified across 20+ EMEA countries

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.

80%Manual workload cut
20+EMEA countries
FMCG · Nestlé

Workforce analytics for Nestlé’s supply & demand planning

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.

DailyAutomated ingestions
MedallionData architecture
Data strategy · Germany

One source of truth from 50+ scattered sources

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.

50+Sources unified
ExecLive dashboards
AI · Analytics

Ask your database a question, get an answer — no SQL

A conversational, question-first platform where table, column and SQL-generation agents turn plain English into queries across PostgreSQL, BigQuery and MySQL.

No SQLNeeded to query
Self-serveAnalytics
Energy · IoT

From manual checks to automated oil-field monitoring

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.

Real-timeOutage tracking
PredictiveMaintenance
AI · Customer support

ModTalk: train and deploy a support chatbot in minutes

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.

24/7AI support
Any siteOne snippet
Finance · Wealth mgmt

Targeting portfolio growth for financial advisers

PII-safe client segmentation with DataIKU machine-learning pipelines that identify high-potential clients for advisers, validated with PyTest and Great Expectations.

ML-drivenSegmentation
PII-safeBy design
AI · HR automation

Screening to scheduling, handled end to end

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.

AutoCV scoring
FasterTime-to-hire
AI · AR SDK

A cross-platform AR + ML toolkit that runs on-device

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.

On-deviceAR + ML
CrossPlatform
AI · Growth

Turning winning cold-email patterns into a repeatable engine

An outreach engine that codifies top-performing campaign patterns into AI instructions and generates three tailored variants per lead using GPT and Gemini.

3 variantsPer lead
RepeatableAt scale
Finance · GCC

A trade-finance platform that bridges shipment and inspection

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.

LC / LGManaged end to end
Bank-to-bankRisk participation

More transformation work

Examples of our impact

A sample of cloud, data and analytics engagements delivered end to end.

LakeHouse for financial reporting

A DataMart and LakeHouse architecture with SQL-to-PySpark transformations and Tableau reporting — a single source of truth for faster, more accurate financial insight.

Cloud ETL modernisation with AWS Glue

Legacy ETL refactored into AWS Glue jobs, with transformation logic reverse-engineered and documented for scalability and efficiency.

Coffee supply-chain traceability on Azure

A cloud data infrastructure tracking coffee-bean origins and destinations, with automated workflows for transparent, scalable supply-chain insight.

HR analytics DataMart

A centralised DataMart with end-to-end ETL on Azure Synapse and SQL stored procedures, improving HR and workforce reporting.

By the numbers

Across the portfolio

0%Delivery success rate across every engagement
0%Manual workload removed on a marketing transformation
0+Data sources unified into one source of truth
0+EMEA countries on one marketing data platform

Client view

What changes after
the first quarter

We measure engagements on decisions changed, not dashboards delivered.

“We were running marketing across more than twenty EMEA countries on manual processes. MOD put the whole thing on Azure and Power BI and automated the lead management — it took roughly eighty percent of the manual work out.”
EMHead of Marketing OperationsMarketing transformation · EMEA
“Our data lived in fifty-odd systems and the leadership team never saw the same number twice. MOD ingested all of it into one place on Google Cloud, and now the executive dashboards are the single source of truth.”
DEHead of ProductData strategy · Germany
“Planners needed to see available resource against production targets, daily. MOD built the HR data marts and automated the ingestions, and the reporting now just runs.”
WFWorkforce Planning LeadGlobal FMCG · workforce analytics
“Our advisers were guessing which clients to grow. The segmentation models MOD built point them at the right portfolios, and every pipeline is tested and PII-safe.”
WMData LeadWealth management

FAQ

Questions buyers actually ask

Straight answers. If yours is not here, ask us on a call — we will tell you if we are the wrong fit.

Ask a question

Because they asked. In regulated sectors a public reference can itself be sensitive. We will introduce you to a comparable client on a call once we are both past the first conversation.

From a baseline taken in week one — current effort, current cost, current error rate — measured again at the quarterly review. We publish the method with the figure.

Yes, matched to your sector and roughly your size. We ask before we share a contact, so give us a few days.

Next step

Ready to find out what your data is worth?

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.