Services
Every layer of your data and AI stack
Engage us for one service or the whole journey. Each service is delivered by senior engineers using the same tested foundations, so the pieces fit together.
Not sure where to start?
Start from your situation
Most clients come to us with one of three problems. Each points to a small set of services.
“Our data is late, wrong or hard to find.”
“We are stuck on Hadoop, an appliance warehouse or legacy ETL.”
“We want AI in production, not just pilots.”
Data foundations
Reliable, governed data that every team and model can build on.
Data Engineering
Reliable batch and streaming pipelines that move data from every source into your platform, tested and observable from day one.
Batch and streaming pipelines you can trust
ETL & Data Integration
Integrate every system and modernize legacy ETL (Informatica, SSIS, DataStage, Talend) into maintainable, cloud-native ELT pipelines.
Modernize ETL to cloud-native ELT
Big Data Migration
Move Hadoop, Teradata, Netezza, Exadata and on-premises warehouses to a cloud lakehouse safely, with parallel runs and zero-surprise cutovers.
Hadoop and legacy warehouses to the cloud
Data Platform Modernization
Lakehouse and cloud data platforms on Databricks, Snowflake, Microsoft Fabric or BigQuery, designed to serve analytics and AI from one governed copy of data.
Lakehouses on Databricks, Snowflake, Fabric
Data Governance & Quality
Quality gates, lineage, access control and privacy built into the platform, so data is trusted and compliant without slowing teams down.
Quality, lineage, privacy and access control
Analytics & BI
Semantic layers, metrics and dashboards that give every team the same numbers, defined once and reused everywhere.
Metrics and dashboards everyone agrees on
AI and intelligence
Machine learning and generative AI taken all the way to production.
Machine Learning & MLOps
Forecasting, scoring and optimization models taken from notebook to production, with monitoring, retraining and governance.
Models from notebook to production
Generative AI & Agents
Retrieval-augmented assistants and AI agents built on your own data and systems, evaluated rigorously and kept under human control.
RAG assistants and agents on your data
AI Strategy & Advisory
A practical roadmap from AI ambition to delivered value: use-case prioritization, data readiness, operating model and responsible AI.
Roadmaps, readiness and responsible AI
ETL modernization & big data migration
Leave legacy platforms without the big-bang risk.
Hadoop clusters, appliance warehouses and legacy ETL tools hold years of business logic. We move them to a modern lakehouse in planned waves, reconciling every number before anything is switched off.
From
- Cloudera / Hadoop
- Teradata
- Netezza
- Oracle Exadata
- Informatica
- SSIS
- IBM DataStage
- Talend
To
- Databricks
- Snowflake
- Microsoft Fabric
- Google BigQuery
- 01AssessInventory data, jobs and dependencies; build the business case.
- 02Plan wavesGroup workloads into low-risk waves with clear success criteria.
- 03ConvertMove data, convert ETL and SQL, map security and access.
- 04Validate in parallelRun old and new side by side; reconcile every number.
- 05Cut over and retireSwitch consumers with rollback plans, then decommission.
Tell us where your data is today.
A 45-minute conversation with a senior engineer. You leave with an honest view of what to build first, whether or not we work together.