Cloud, data, and AI platforms
The cloud, data, and AI platforms your business runs on, built for production, on your infrastructure, under your governance, and operated after go-live. When the foundation is ready, AI reaches production.
AI is only as good as what it runs on
An AI model that impresses in a demo still needs somewhere to run when you scale: governed data it can trust, a secure cloud it can scale on, and controls that keep every decision auditable. That is the foundation, and it is where most enterprise AI stalls. Redeploy builds all three, cloud, data, and AI platforms, engineered for production and operated after go-live.
Lineage, access control, every decision auditable, ready for the EU AI Act.
It runs in your own cloud, sovereign-ready, so sensitive data stays in your environment.
From prototype to production, secure and scalable.
We run it, accountable for cost, quality, and uptime.
Platforms
The cloud, data, and AI foundations that run those solutions securely, at scale, and under audit. Built across Azure, AWS, and Databricks by one team, and we can run them for you after go-live.
AI Platform
Governed, self-service AI infrastructure your teams can build on from day one, secure and ready for production workloads.
- Governed and auditable by design
- EU AI Act and sovereign-ready
- Self-service with central guardrails
Data Platform
Modern data infrastructure that makes your data AI-ready, governed, and trustworthy, so the AI built on it stays accurate.
- Governed, lineage-tracked data
- Access control and data residency
- Trustworthy, traceable inputs for AI
Cloud Platform
Secure, cost-efficient cloud foundations on Azure and AWS, built to operate and scale, and to carry production AI under audit.
- Secure and compliant by design
- FinOps cost control built in
- Azure and AWS, one team
Built once, reused for every use case
A major Nordic bank was rebuilding infrastructure from scratch for every AI initiative, with no shared platform or governance. We built the foundation once, landing zones, reusable modules, CI/CD, and access management, so every new use case reuses it instead of starting over, beginning with lending compliance and several more already in delivery.
less cost per use case after the first
A decade of running the platforms AI depends on
years in production
Redeployees
Gasell company
Certified on the platforms you run on
Partner certifications with Microsoft, AWS, Databricks, and the FinOps Foundation, the platforms we build and operate on every day.
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Frequently Asked Questions
What data foundation do AI agents need?
Agents need governed, connected, AI-ready data: lineage, access control, and quality they can trust. Redeploy's Data Platform provides it, open across Azure, AWS, Databricks, and Fabric.
What makes a cloud platform AI-ready?
A secure, scalable, cost-controlled cloud that can carry production AI under audit, with FinOps built in. That is what Redeploy's Cloud Platform delivers on Azure and AWS.
How do you govern data for AI agents?
With lineage, access control, and policy applied at the platform level, so every AI decision can be traced. Governance is designed in.
How do we move an AI pilot to production?
Put it on a foundation built for production: governed data, a secure cloud, and an AI platform that takes it from prototype to production. Redeploy builds and runs all three.
Can you monitor AI agents in production?
Yes. Monitoring, logging, and human review are part of the platform, and Redeploy operates it after go-live, accountable for cost, quality, and uptime.
Who runs the platform after it goes live?
Redeploy does, if you want. Our Run team keeps your cloud, data, and AI platforms running in production, accountable for cost, quality, and uptime, with monitoring and governance built-in. You can also run it yourself and call us when you need to.
