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AI Platform
AI Platform is the governed foundation every use case builds on, so each one ships faster and cheaper than the last. Built for Azure and AWS.
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.
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Made for production. Owned by you.
Moving AI from pilots to production is your mandate, and your risk. Our AI Platform is built to take that risk off the table: governed, production-grade, and yours to own, on Azure or AWS.
You own it
All code, infrastructure-as-code, and documentation handed over. No lock-in.
Production-grade
Acceptance criteria and sign-off before anything goes live.
Secure data integration
Enterprise-grade security from day one. Your data never trains shared models.
Either cloud
One governed foundation across Azure and AWS, built on infrastructure-as-code.
The moat is your data
AI Platform connects to your existing data sources and turns your own information into reliable input for retrieval and agents. Paired with a Data Platform, that data gets more accessible and trustworthy, so you can take on higher-impact use cases without giving up security or control.
Govern the spend underneath it all
Every use case you add consumes models, and that cost and access can sprawl fast. AI Control Plane is the layer beneath the platform: one API for 100+ providers and self-hosted models, with per-user budgets, routing, audit, and guardrails, all in your own environment. Up to 30% lower AI run-rate, and a new model live in 24 hours.
What's in the Foundation
Everything a use case needs, built in.
One governed foundation every AI use case runs on. Here's what it gives you.
Landing zones
Standardized, self-service foundations, built on infrastructure-as-code, so teams ship AI workloads without reinventing infrastructure each time.
Identity & access
The right people and services reach the right data and models, and nothing else.
Infrastructure as code
Everything is reproducible, reviewable, and version-controlled, so the whole platform can be rebuilt or audited from source.
CI/CD
Automated build, test, and release pipelines, so new use cases ship to production safely and repeatedly.
Data ingestion & retrieval
Connect your sources, index them, and keep them current, so agents and apps answer from your own information with citations.
Evaluation & guardrails
Acceptance criteria, quality checks, and prompt-injection defense, so nothing reaches production until it meets the bar.
Run it yourself, or let us run it.
The platform is yours either way. You choose who operates it.
Managed by Redeploy
Prefer not to staff it? Our managed service operates, scales, patches, and monitors the platform around the clock, so you get the capability without hiring SRE or AI-ops
- Pay monthly. No upfront investment
- We operate, scale, and patch it, 24/7.
- No SRE or AI-ops hires needed.
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Self-managed
We hand over everything: all code, infrastructure-as-code, and documentation. Your team runs the platform, with no lock-in and nothing you can't operate yourself.
- One-time build. Then it's yours to run.
- Your team operates, scales, and maintains it.
- Runs on your own platform team.
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Built on certified partnerships
Certified across Microsoft, AWS, and Databricks, including the Microsoft AI Platform Specialization, held by only a handful of partners in the Nordics. You build on the exact platforms we're certified to deliver.
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Rather start with people than a platform?
You don't have to commit to a full build to work with us. We also embed senior cloud, data, and AI specialists in your team, and advise where the direction isn't set yet.
Frequently Asked Questions
Do we own the platform afterwards?
Yes. Everything runs in your own cloud environment, and all code, infrastructure-as-code, and documentation are handed over. There's no vendor lock-in.
How fast are we in production?
The first use case typically reaches production in about a quarter, at a fixed price and fixed scope. Every additional expert agent is faster, because it reuses the platform that's already in place rather than starting from scratch.
What happens after the first use case?
The platform is the asset. Each new use case reuses what's already there: ingestion, retrieval, governance, and observability, so it costs less to build than the one before and carries its own business case.
How does AI Platform keep data secure?
Your data stays inside your own environment and is never used to train shared models. The platform is built on enterprise-grade security, RBAC, central authentication, audit logging, guardrails, and EU data residency, and aligns with frameworks such as ISO 27001, SOC 2, and GDPR. No system can guarantee absolute safety, but the platform is designed to minimise risk and keep your information under your control.
Which models can we use? Is our data used for training?
You're not locked to one model. AI Platform works with leading commercial and open-source models, and through AI Control Plane, you can reach 100+ providers plus self-hosted models behind one API, switching with a single parameter and adding new models within 24 hours. Your data is not retained or used for training unless your team explicitly configures it.
Can it run somewhere other than the public cloud?
Yes. The platform runs across Azure and AWS, and AI Control Plane extends to on-premises, air-gapped, and EU sovereign environments where data sensitivity requires it.
