Enterprise AI is only as smart as the data you engineer.
We handle data strategy, governance, engineering and analytics, and put validated, governed AI to work on the processes you already run, using our own engine and AI assistant.
Your AI pilot didn't fail. Your data did.
Two dashboards disagree, and nobody can say which one is lying. Trust is a lineage problem, not a visualisation one.
Every system. One place.
Our founders have brought data from 800 global systems into one model. CRMs, ERPs, ledgers, and the spreadsheets nobody admits to.
Every figure, checked against its source.
Every curated dataset is checked against the system it came from before it is allowed to feed a dashboard.
One team for the whole journey.
Ingestion, curation, visualisation and AI. Senior-led, fixed-scope, and no lock-in: your code, your documentation, your team trained to run it.
Settle which number is the number.
Contradicting sources reconciled into one governed model, with the definition agreed once rather than per report. Then dashboards your leadership will actually use.
Then put AI to work.
Our engine and AI assistant are built in-house. The AI answers only from your governed data, and leaves a trail. Use them on a project with us, or on their own as SaaS. The example above is illustrative.
Work our founders delivered.
CLIENT NAMES PRIVATE UNDER AGREEMENTFrom scattered spend data to live control of cash flow and DPO.
Procurement teams were flying blind. Spend data sat in disconnected systems and had to be pulled together by hand, so nobody could get an accurate, timely read on what was being paid to whom, or when. Leadership was reacting to historical figures instead of managing cash.
800 systems. One version of the numbers, worldwide.
The client's data was trapped across 800 disjointed systems around the world. Global reporting was chaotic and inconsistent, and every cycle took weeks of manual compilation. Teams in different regions were looking at different numbers.
A secure, AI-ready data foundation for a global pharma company.
The client's data infrastructure lacked standardisation and modern capabilities. Data sat in silos, ingestion was slow and manual, and there was no safe way to put modern AI tools to work on company data.
Let's look at your data together.
Book a free 30-minute discovery call with one of our founders. Tell us what you're trying to build, and we'll show you where your data and AI can go further.
Book a discovery call Not sure where you stand? Take the free 8-minute data check →- BUILT ON WHAT YOU RUN
- AWS
- Azure
- Google Cloud
- Fabric
- Databricks
- Snowflake
- BigQuery
- Redshift
- dbt
- Power BI
- Tableau
- Looker
- QuickSight