Tech · Lars Hasselrot, Head of Run
Who runs your AI once it’s live?
What it takes to keep AI agents running, affordable and explainable once they are in production.
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Managed Services
We run your cloud, data and AI platforms after go-live and answer for their cost, quality and uptime, so what you built keeps paying off year after year.
Live platforms need looking after
Once something is live, data changes, costs creep, models drift and auditors ask for evidence. Our Run team watches your cloud, data and AI around the clock, keeps spend within budget and logs every change, across Azure, AWS and Databricks.
Hands on, so you can be hands off
As specialists in platform engineering and operations, we run a reliable, secure, cost-controlled environment for your cloud, data, and AI, so your team stays focused on its own work.
Reliability
We monitor and maintain 24/7, including the inference endpoints and pipelines your AI depends on.
Cost control
We keep cloud and AI spend attributable and under control, as a FinOps Certified Service Provider.
Security
Round-the-clock protection for your infrastructure and your AI, so threats stay out and data stays safe.
Governance & compliance
Policy enforced on every model call, access reviewed monthly, and every change logged in your tenant, so you have evidence when the auditor asks.
What we run
One operations team across cloud, data and AI, from the landing zone up to the agents.
Managed Cloud Platform
We operate secure, cost-efficient cloud foundations on Azure and AWS, built to scale and carry production AI under audit.
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Managed Data Platform
We operate the data foundation your AI runs on, kept governed, trustworthy, and ready for production workloads.
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Managed AI Operations
We run your AI in production, from the landing zone up to the agents, governed and cost-controlled.
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You keep the decisions. We keep it running.
A managed service only works when everyone knows where the line goes. Ours is drawn before go-live and written into the agreement.
You keep
- Business decisions and priorities
- The code, the prompts and your data
- The playbooks and golden sets you approve
We run
- Your platforms and AI, around the clock
- Incidents, following your approved playbooks
- Patching, model updates and cost control
Together
- A monthly report on cost, quality and access
- A quarterly review of what to change next
- A clean exit: everything stays yours
"Redeploy's Managed Cloud Platform has enabled us to maintain control over our teams and initiate a development culture change. With our new Azure platform, teams can request resources to build solutions themselves, and the response has been overwhelmingly positive. Things are happening quickly!"
Anders Lidgren, CIO
Svedea
Certified & compliant operations experts
As certified partners across Microsoft, AWS, Databricks, Kubernetes, and Fortinet, and a FinOps Certified Service Provider, we hold the credentials that keep operations current, secure, and cost-controlled.
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The people who run your platforms
Our Run team watches, patches and improves your cloud, data and AI around the clock. These are the people who answer when something needs fixing.
Frequently Asked Questions
How is this different from a traditional managed service provider?
We run cloud and data platforms like any managed provider, and go one layer further: the models, agents and pipelines your AI depends on.
Are we locked out of our own platform?
No. We run the layer underneath so your teams keep building with confidence and self-service.
Is Managed AI Operations the same as AIOps?
No. AIOps usually means using AI to run IT operations. Managed AI Operations runs your AI itself: the landing zone, the control plane, the models you consume and the agents built on them. We do use AI-assisted diagnosis inside our own operations.
Can you run a platform you didn't build?
Yes. We operate cloud, data, and AI environments built by others, starting with a short review of the current state before we take over.
What about EU AI Act and compliance?
Compliance is part of how we operate. Audit trails, human review and a log of every change are part of running your AI, so it stays defensible once it's live in a regulated workflow.
Can you keep AI costs under control?
Yes. As a FinOps Certified Service Provider, we keep cloud and AI spend attributable and under control, tracking what an agent costs to run against what it saves.
How is it priced?
A fixed monthly fee, scoped to what we run and the service level you need. Most customers start with one part, such as the AI Landing Zone and AI Control Plane, and add more as their AI estate grows.
