Modern data platform
Lakehouse or warehouse foundations on open formats, sized to your team.
Explore the serviceScale the foundation
Scale the data foundation your growth outran
When growth outpaces your data foundation and core metrics disagree, we run a current-state audit, then build the warehouse or lakehouse, pipelines, analytics models and customer 360 your business can actually scale on.
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Delivery leads online — talk to a human, not a botForFounders, Heads of Data & COOs
Start withData Audit & Roadmap
ServingWorldwide
Scale the foundationGlobal delivery
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
Sound familiar?
The symptoms we hear on the first call
If two or three of these are true, this is the right page.
- Reporting that worked at 20 people is breaking at 200
- Core metrics disagree between teams and tools
- Manual exports and spreadsheets are load-bearing in your operations
- You are hiring analysts faster than you can make the data usable
Scale the foundationWhere you are today
What you get
Here is how we fix it
One accountable team, working as an extension of yours — and you own everything at handover.
- A current-state audit of sources, models and blockers
- A right-sized warehouse or lakehouse on your cloud
- Tested, documented pipelines and analytics models in version control
- A customer 360 and operating dashboards the business plans against
Scale the foundationWhat we build
The capability behind it
The same senior bench, packaged for your situation
Data engineering
Pipelines, integration and observability built as a product, not a script.
Explore the serviceAnalytics engineering
Modelled, tested, documented tables and a semantic layer that lasts.
Explore the serviceProof
Related work
Global delivery track record across data and AI.
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
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
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
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 questionIt depends on the shape of your workloads and who you can hire. We will show you the cost and fit of each before you commit; the answer is not the same for every company.
Yes — we deliver on AWS, Azure and Google Cloud, and right-size the architecture to the team and budget you actually have.
We migrate domain by domain with reconciliation at every step, so you get value from the first domain rather than at the end.
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.