Platform Enablement
We build the infrastructure your team needs to run data and AI.
Deployed in your cloud, documented, and yours to operate. The engine to power your data and AI.
Sound familiar?
You have a data platform. It technically works. But it's fragile, expensive, and nobody fully owns it. Six databases, three clusters, pipelines running duplicated workloads across every environment. Your cloud bill keeps climbing and nobody can explain why.
The business can't access data without custom setup. Everything requires a developer, a VPN, or a ticket. Meanwhile, the team that built the platform is the only team that can maintain it - and they're stretched thin.
You don't need a new platform. You need the one you have consolidated, governed, and built so your team can actually run it.
How we work
We build in your cloud, with your team, using open-source tools. When we leave, everything stays.
Evaluate
We assess your current architecture and evaluate options through formal Architecture Decision Records - not opinions.
Build
Infrastructure-as-code from day one. Your cloud, your repos, open-source components. Nothing proprietary.
Govern
RBAC, workspace provisioning, data classification. Designed for self-serve so teams don't wait on tickets.
Hand over
Documented, transferable, and your team has been building alongside us the entire time.
Evaluate
We assess your current architecture and evaluate options through formal Architecture Decision Records - not opinions.
Build
Infrastructure-as-code from day one. Your cloud, your repos, open-source components. Nothing proprietary.
Govern
RBAC, workspace provisioning, data classification. Designed for self-serve so teams don't wait on tickets.
Hand over
Documented, transferable, and your team has been building alongside us the entire time.
What you get
Cloud Infrastructure
AWS, GCP, or Azure. Designed for your workload, deployed with Terraform, managed through code.
Data Lake / Lakehouse
Centralized storage with the right architecture for your scale. No duplication, no data silos.
Orchestration & Pipelines
Airflow, Dagster, or equivalent. Automated, monitored, and built for incremental processing.
Governance & Access
Workspace provisioning, RBAC, data classification, and lineage. Self-serve with guardrails.
CI/CD & Infrastructure as Code
Terraform, dedicated repos, automated deployments. Changes in minutes, not weeks.
Cost Monitoring
Dashboards tracking spend by team and workload. Recommendations to keep your cloud bill in check.
Real Example
QuadReal Property Group
Consolidated six Azure SQL databases and three Kubernetes clusters into Microsoft Fabric. Infrastructure-as-code, automated pipelines, and 15+ team sandboxes provisioned with self-serve access.
6 → 1
databases consolidated
$250K+
annual savings
5 months
full Fabric adoption
Ready to ship?
Book a discovery call. We'll scope your platform and show you what's possible in your cloud.