Agentic VM Right-Sizing
Cloud costs creep up quietly. Native advisors miss most of it, and the rest sits in a backlog nobody act on. We change that.
They catch 8%.
We find 55%.
Native cloud advisors read one metric over two weeks. Our solution reads eight, at hourly resolution, over 90 days, plus the organizational context your team needs to act on it. That is why we find 7× more candidates on the same estate.
From 4–6 weeks
to 1 day
Compressed change cycle. Ticket, UAT, deploy, all handled by the agentic solution.
Production-
validated
Tested against production workloads, with expert review and constraint discovery built into the process.
Deterministic
by design
Every recommendation is built on the same complete picture. No guesswork, and no drift between runs.
15× more in savings potential
At a global manufacturing company, that was 813K SEK on a single estate, first run.
What we found on the first run
103 VMs. 57 recommendations. 813,000 SEK in savings potential. Identified in a single production run for a global manufacturing company, in the same environment and time period, where the built-in advisor found 8 recommendations and 55,000 SEK.
Your engineers approve. The agent executes.
Governed data foundation
Pick your model
Three ways to work with us. Choose the model that fits how your organization wants to own the outcome.
Consulting
We build and hand over the agentic solution inside your Databricks and cloud environment. Your team runs it from there and carries the ongoing ownership cost.
Managed Service
We operate the agentic solution in your environment and improve it over time on a fixed platform fee. Acting on recommendations is billed by the hour.
Gain-share
We operate the agentic solution against your cloud estate and are paid a share of realized savings. No savings, no fee.
Built on certified partnerships
Certified across Microsoft, AWS, and Databricks. A FinOps Foundation member and a trusted delivery partner for Nordic enterprises.
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Frequently Asked Questions
Why not just use native cloud advisors?
They read one metric, typically CPU average, over a fixed window, with no knowledge of your organizational context. Our agentic solution reads eight metrics at hourly resolution over 30 days of active scan data, and knows who owns the VM, what environment it runs in, and what your negotiated pricing actually is. That is why we find 7x more candidates on the same estate.
How does the agent access our environment?
Read-only service principal. Configuration and metadata only. Every API call is traceable in your audit log. No table contents. Setup in hours.
Which cloud platforms does this work with?
The solution is built for Azure and AWS. It connects via read-only service principal, reads from your cloud provider's monitoring APIs, and layers in your organizational context, on a Databricks data foundation that runs in both.
