Engineer the data backbone for analytics, ML & AI.
We design lakehouses, build streaming and batch pipelines, and operationalise governance, so every dashboard, model and product feature runs on data you can trust.
From ingestion to activation, owned end-to-end.
Lakehouse & warehousing
Snowflake, Databricks, BigQuery and Redshift, designed around your domains, not vendor defaults.
Streaming & batch pipelines
Kafka, Spark, dbt, Airflow and Dagster orchestrations with built-in tests and lineage.
Governance & quality
Catalogues, contracts, masking and SLAs that make data trustworthy across the enterprise.
Analytics & BI enablement
Semantic layers and modelling that turn raw events into self-serve metrics for product and finance.
ML & feature platforms
Feature stores, training pipelines and serving infra ready for production ML and GenAI workloads.
Observability & FinOps
Pipeline SLAs, freshness alerts and cost telemetry that keep your platform fast and on-budget.
From audit to a production-grade platform in 12 weeks.
Discovery & blueprint
Inventory sources, KPIs and consumers. Pick reference architecture and roll-out sequence.
Foundation build
Stand up storage, compute, catalogue, CI/CD and the first golden domain end-to-end.
Pipelines & products
Migrate sources, build curated models and ship the first analytics or ML data product.
Operate & scale
SLAs, on-call, FinOps, governance handover and a roadmap for the next quarter.
We don't ship dashboards on top of broken pipelines, the platform layer is the product.
Why enterprises trust us with their data foundation.
Engineering rigour
Every pipeline tested, versioned, observable and recoverable, not a notebook chain.
Reference architectures
Proven blueprints for medallion, mesh and lakehouse, adapted to your stack.
Cross-functional pods
Data engineers, analytics engineers and platform SREs working as one squad.
Cost-aware delivery
FinOps from day one, usage budgets, query tuning and storage tiering built in.
Outcome contracts
We commit to freshness, accuracy and uptime, not story points.
Vendor-neutral
We pick the right tool per layer, no lock-in to a single hyperscaler or ISV.