We design and build AI agents that read your cost, infrastructure and data platforms, explain what changed, and propose fixes your engineers approve. Your data stays in your tenant.
Agents deploy into your Azure subscription or Databricks workspace. Billing, logs and data never leave your environment.
Agents use read-only identities. Every fix is a Terraform or code change that your team reviews and merges.
Each explanation names the resource, the change and the metric behind it, with the query it ran, so numbers can be checked.
We ship an evaluation set with every agent, so you can see how often it is right and what each answer costs.
Each one starts from a working pattern we have built ourselves, then gets adapted to your platforms and rules.
Watches Azure cost every day, links each spike to the resource and change that caused it, and drafts rightsizing and cleanup fixes with savings priced in euros.
Summarises meeting transcripts and tracks decisions and actions across meetings, running privately on your own Azure or Databricks platform.
Monitors Databricks jobs and pipelines, diagnoses failures from logs and lineage, and proposes a fix or a rerun plan for an engineer to approve.
Answers questions about your cloud estate in plain language and checks drift, tagging and policy against your Terraform code.
We map one costly, repetitive task, the data it needs and the approval rules, and agree how success is measured.
A working agent on your real data, read-only, with an evaluation set and a cost estimate per run.
Infrastructure as code, CI/CD, monitoring, guardrails and handover documentation your team can own.
Support across time zones, new tools for the agent, and regular reviews of accuracy and cost.
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