10B+
Events Processed Daily
<200ms
Real-Time Pipeline Latency
99.9%
SLA on Managed Pipelines
End-to-End Coverage
Every stage of your data journey
We don’t just build one layer. We architect and manage the full data stack – with ML augmentation applied at each stage where it adds measurable value.
Ingestion & Streaming
Real-time and batch ingestion from ERP systems (SAP, Oracle), CRMs, IoT devices, event streams, and third-party APIs. Built with automatic schema evolution and dead-letter queue handling.
- Apache Kafka
- AWS Kinesis
- Azure Event Hubs
- Fivetran
- Airbyte
- SAP CDC
Sub-1s
Ingestion latency for streaming
100+
Source connectors supported
Storage & Lakehouse Architecture
We design multi-layer lakehouses (Bronze/Silver/Gold) with time-travel, schema enforcement, and EU-compliant data residency. GDPR delete propagation built in from day one.
- Apache Iceberg
- Delta Lake
- Snowflake
- Databricks
- AWS S3 / Azure ADLS
EU-Only
Data residency by default
GDPR
Delete propagation support
Transformation & Data Modelling
dbt-driven transformation with automated testing, lineage tracking, and documentation. We build Kimball-style dimensional models optimised for your BI tools and query patterns.
- dbt Core / Cloud
- Apache Spark
- SQL / Python
- Great Expectations
- Monte Carlo
99.5%
Data quality SLA
Full
Column-level lineage
ML Feature Engineering
The ML augmentation layer: automated feature extraction, drift detection, and model-ready feature stores. We apply ML where it creates clear business value – demand forecasting, anomaly detection, churn prediction.
- Feast / Tecton
- MLflow
- SageMaker
- Azure ML
- Scikit-learn
- XGBoost
Auto
Feature drift detection
Plug-in
Any downstream ML framework
Analytics & Visualisation
Self-service analytics for business users connected directly to your production data. Semantic layers, row-level security, and embedded analytics — all with single-sign-on via your existing identity provider.
- Power BI
- Tableau
- Metabase
- Looker
- Cube.dev
- Apache Superset
<3s
Dashboard load on 1B row datasets
SSO
SAML/OIDC integration
ML Augmentation
Where ML adds real business value

Demand & Supply Forecasting
Time-series models (Prophet, XGBoost, LSTM) built on your historical SAP/ERP data to forecast demand, optimize inventory, and reduce stockouts by 20-40%.

Anomaly & Fraud Detection
Unsupervised and semi-supervised models running on your transactional data to detect financial anomalies, data quality issues, and process deviations in real time.

Customer Churn Prediction
Predictive churn models trained on CRM and usage data, feeding propensity scores directly into Salesforce for your customer success teams to act on.

Predictive Maintenance
IoT sensor data pipelines with ML models predicting equipment failure before it happens. Designed for manufacturing, logistics, and infrastructure clients.

Automated Data Quality
ML-powered data quality monitoring that learns your data’s normal patterns and flags deviations – reducing manual QA time by over 60%.

Recommendation Engines
Collaborative and content-based filtering models for B2B product recommendations, next-best-offer, and internal knowledge surfacing.
Platform Guidance
Choosing the right data platform
We’re platform-agnostic – we recommend based on your existing stack, team skills, and cost profile, not on vendor partnerships.
| Criteria | Snowflake | Databricks | BigQuery |
|---|---|---|---|
| Best For | SQL-first analytics & sharing | ML + Data Engineering combined | Google Cloud-native orgs |
| EU Data Residency | ✓ EU region | ✓ EU region | ✓ EU region |
| Real-Time Streaming | Limited (via Snowpipe) | ✓ Structured Streaming | ✓ via Pub/Sub |
| ML Training | — External only | ✓ Native MLflow/Spark | ✓ Vertex AI |
| Open Table Format | Iceberg (supported) | ✓ Delta Lake native | Iceberg (supported) |
Let’s map your data architecture
Book a 60-minute Data Architecture Review. We’ll audit your current stack, identify the highest-leverage improvements, and give you a prioritised roadmap – no commitment required.
Our Blogs
Ideas in Action/Insights. Ideas.
Updates/Insights & Updates

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