Ingestion from every source
Databases, apps, files, APIs and event streams, structured or not.
Data lakehouse architecture
Data lakehouse services
One place for all your data, structured or not, ready for dashboards today and AI tomorrow. We design and build lakehouses that teams actually trust.
AI is only as good as the data under it
Most companies have the data they need. It’s just spread across a CRM, an ERP, spreadsheets, logs and a few databases nobody owns, in different formats and at different levels of freshness. Every report becomes a small project, and AI projects stall before they start.
A lakehouse fixes that by putting everything on one platform: the cheap, flexible storage of a data lake, with the structure and reliability of a warehouse on top. We build the pipelines that fill it, the rules that keep it clean and the access controls that keep it safe.
- Structured and unstructured data
- Batch and real-time pipelines
- Open table formats
- Governance built in
What we build
ETL and ELT pipelines
Reliable, tested pipelines that clean and shape data on a schedule or as it arrives.
Open table formats
Delta Lake, Hudi or Iceberg, so you aren’t locked into one vendor’s engine.
Real-time streaming
Kafka and Spark for data that has to be fresh in seconds, not days.
Governance and access
Who can see what, where data came from, and how it changed along the way.
Ready for AI
Clean features and documents for ML models, RAG and AI agents to use.
Data platforms behind our projects
Wine and agricultureRead the case study LogisticsRead the case study HealthcareRead the case study
The Wine Group
One of the world’s largest wine companies moved from spreadsheets to AI forecasts, a CRM with a support desk, and IoT across its vineyards and warehouses.
−20%annual losses in year one
1 yearfrom Excel to AI forecasts
Formula2Ship
A shipping command centre with a live view of 18,000+ shipments across couriers, zones, COD and returns. Every chart drills down to the orders behind it.
18K+shipments in one live view
29,000pincodes covered
Elderly-care monitoring
Room sensors for air quality, presence, temperature and humidity, with AI that spots the early signs of a problem and alerts caregivers.
Multi-roomsensor network
AIearly health alerts
How we work
- 1
Map your data
Every source, who owns it, how fresh it is and what people need from it.
- 2
Design the platform
Storage, table format, pipelines and access rules sized for today and the next few years.
- 3
Build in slices
One domain at a time, each one useful on its own, instead of a big-bang migration.
- 4
Hand over and support
Documentation, monitoring and training, so your team can run it.
Questions we often get
What is a data lakehouse?
A data lakehouse combines a data lake (cheap storage for any kind of data) with warehouse features like tables, transactions and fast SQL. You get one copy of the data that serves both BI dashboards and machine learning.
Delta Lake, Hudi or Iceberg?
All three are open table formats that add reliability to a data lake. The best choice depends on your engines and cloud. We’ll recommend one after looking at your stack.
Do we need real-time data?
Only for some things. Fraud checks, live dashboards and operations usually do. Monthly reports don’t. We build streaming where it pays off and batch everywhere else.
Can you migrate our existing warehouse?
Yes. We usually move one domain at a time and run old and new side by side until the numbers match.
What does a lakehouse project cost?
It depends on the number of sources, the data volume and how clean it is. After a free 30-minute call we send a plan and estimate, usually within a week.
Tell us what you’re building
A senior engineer will reply within one business day.