The management agent for your digital resources

Cut your Cloud and AI cost now.
Build the discipline to truly manage your digital resources at all levels.

Numio finds the root causes behind your Cloud and AI spend and acts on them — continuously, within the guardrails you set, with almost no effort from your teams.

Today that means substantial savings across the organization. Tomorrow it means knowing what every dollar of Cloud and AI is buying you.

Become a Design Partner A win-win: You'll discover what is possible and we face more real-life challenges. Why this matters ↓ See how the agent works ↓

Why this is urgent — and unresolved

Speed of adoption isn't the problem. Lack of control is.

The paradox: token prices fell 60–80% between 2025 and 2026 while average enterprise AI spend rose from $1.2M to $7M in the same period. —> Cheaper tokens don't lower the bill. Good spend control does. Three documented cases from the last nine months:

Uber

4 months

Entire 2026 AI budget spent by April. 5,000 engineers at $500–2,000 per month; internal leaderboards rewarded raw usage.

The Information · TechCrunch · Forbes

Microsoft

$2,000

Monthly token cost per engineer, versus seat assumptions of a few hundred dollars. Budget exhausted; the tool was cancelled for around 5,000 engineers.

The Information, May 2026

Unnamed enterprise

$500M

One month of AI usage billed to a single company. No caps, no dashboards, no controls — nobody noticed until the invoice.

Axios, May 2026

78%
of IT leaders report unexpected consumption charges
Zylo, 2026
43%
have formal AI governance
Deloitte, 2026
21%
have mature governance for agents
Deloitte, 2026

On Cloud as in AI, the simplest root to save resources is to find out the root cause of overspend. Once done, acting on the insight is hard work that competes with the day-by-day activities. —> Therefore reports just show the bill but do not drive control; so cost management slides down everyone's priority list — until the invoice arrives. We propose using informative or acting AI Agents to drive the control you need.

Cheaper tokens will not lower your bill. Active control does.

The approach & why it is different

A report informs you overspend. An agent discovers what is wrong and helps you fix it.

Agentic — an overused word — is rarely applied to cost management. Here are the differences:

Report-based cost management

  • A monthly view of what was spent
  • Someone must find the root cause
  • Someone must own the action
  • A backlog that competes with the daily urgent stuff — and loses

Numio

  • Observe — one view across AWS, GCP, Azure and AI providers
  • Decide — against your budgets, tagging standards and policies
  • Act — notify, recommend, or execute within your guardrails
  • A stream of small, constant decisions through your organization. Daily, not monthly.

You choose what you want automated:

No risk · informational

Inform · Recommend · Escalate

Surface what changed, where and why. Propose a concrete next step with an owner. Route ambiguous cases to a human.

Low risk & acting within guardrails

Execute

For example clean up orphaned snapshots. Pause idle non-production instances. Enforce tag compliance on new resources. Hibernate. Rightsize.

Your team shapes the agent's work. You inform tagging and ownership; Numio fills the attribution gaps. You describe the business process; Numio links systems to the work they support. You confirm or reject proposed actions; Numio follows through. Start read-only. Widen permissions as trust builds — per environment, per action, per team.

See the full operating model →

What Numio often achieves

Savings you can enable in Cloud and in AI during the first weeks.

Cloud

Reclaim what nobody uses.
Idle and orphaned resources found and retired.
Right-size what's oversized.
Instances, memory, replicas — when utilization is persistently low.
Hibernate on schedule.
Dev and non-production workloads sleep when usage drops.
Keep tags honest.
Organization-wide campaigns that make attribution stick, so every cost has an owner.

AI

Token Meter.
LLM requests routed through the gateway are attributed by team, app and use case. No code changes.
Hard caps that hold.
Per user, app or agent; daily, weekly or monthly. When the cap is reached, spend stops.
Early warning.
Usage trend projected; a budget at risk is flagged while there is still time to act.
Model right-sizing.
Where a smaller model performs just as well — typically cutting that workload's cost to a quarter or less.

Understand how your tech investments generate value for your business: unit economics at a finer grain. Cost per transaction, per AI interaction, per campaign — mapped to the business activity it supports, in a language that Business, CFO and CEO share.

Design Partners

We're recruiting Design Partners.

If you are a CFO, a CIO or a business leader, this is an invitation. We run a free pilot on your numbers, with a scope we agree together first. You explore where this approach unlocks new savings. We learn what your organization actually needs — and the product gets better for it.

Building Numio with Design Partners is our number-one priority right now. We can't promise to run every pilot we are asked for, but we will try hard.

You get
A free, scoped pilot on your real Cloud and AI spend; findings you keep; early influence on the product.
We ask
Read-only access to a scope we agree on; a few conversations about what you need; honest feedback.
How it starts
One email. Then a 30-minute walkthrough on your numbers, and we agree the scope.

Let's see it on your numbers.

A free pilot, scope agreed together, on your real Cloud and AI spend. Validate the approach on the problems that are pressing for every organization right now — and help shape what we build.

partners@numio.ai · numio.ai · 30-minute live walkthrough