digital solutions for industry leaders.
Stream Cloud delivers reliable software engineering across governance-ready data foundations and AI enablement — engineered for performance and measurable outcomes.
across Europe & DACH
across managed platforms
on average
for critical systems
Legacy data stacks are holding you back
Enterprise teams waste months on infrastructure that wasn't built for today's AI-driven, governance-heavy, multi-domain reality.
What slows most organisations down
- Siloed data, inconsistent metrics, and no single source of truth across teams.
- AI initiatives stall because data quality and governance aren't in place.
- Platform teams become a bottleneck — every request a one-off, costly effort.
- No visibility into costs, SLAs, or who changed what and when.
How Stream Cloud fixes this
- Unified data products with a semantic layer and governed metric definitions.
- AI-ready pipelines built from day one — quality, lineage, and evaluation gates included.
- Self-service platform with golden paths — teams move independently, safely.
- Full audit trails, cost controls, and SLA monitoring built into every layer.
From assessment to live platform
A structured three-phase engagement — so you know exactly what happens, when, and what to expect.
Assess & Align
We audit your current data landscape, identify gaps, and align on a prioritised roadmap with clear success metrics before writing a single line of code.
Build & Govern
We architect and deliver the platform in iterative sprints — data products, pipelines, access controls, and observability — with stakeholder reviews at each milestone.
Operate & Scale
We hand over with full documentation, team enablement, and optional ongoing SLA-backed support. Your platform scales as your business grows.
Built for the modern enterprise
Self-serve reporting & consistent metrics
From structured data products to dashboards — designed for fast decisions and aligned definitions across every team.
- Semantic layer & metric definitions
- BI-ready modeling for any stack
- Aligned KPIs across domains
AI-ready pipelines
Robust delivery foundations for applied AI — with lifecycle support, safe deployment patterns, and guardrails that minimise operational and compliance risk.
- Lifecycle support & release patterns
- Evaluation gates and drift monitoring
- Adoption enablement & measurement
A scalable foundation your product teams actually use
Ingestion, modeling, governance, and performance — designed to serve multiple domains with consistent definitions, full observability, and clear ownership.
- Data product approach + domain ownership
- Observability, SLAs, and cost controls
- Security, catalog, and access workflows
Ready to modernise your
data platform?
Tell us where you are today and where you need to be. We'll put together a concrete proposal within 48 hours.