Finius doesn’t just alert, he explains and resolves. Our engineers fix issues in chat and move on.
Atmoz prevents AI and cloud waste the moment it is created – in your infrastructure, your token spend, and your workflows – before it becomes a bill.
Agentless setup · Read-only · Enterprise-grade security
Engineering teams make financial decisions every time they deploy infrastructure or execute AI workloads – but cost feedback arrives hours, days, or weeks later.
No Control
No ROI
No Idea
The problem isn’t visibility. It’s timing.
Finius, our AI agent, catches inefficiencies across cloud resources and AI usage and helps engineers fix them before they become waste.
01
Finius monitors every AI workload and cloud resource instantly, stopping waste before it hits your bill
02
Receive recommendations, understand impact, and take action directly in your IDE, Slack, or Teams.
Budgets, quotas, permissions, and policies are built into workflows.
03
Read-only architecture, budgets, SSO & RBAC, ownership, and audit trails built for secure, scalable operations.
04
Every AI workload and cloud resource is mapped to the right owner – with visibility, accountability, and action built in.
Others explain waste. We prevent it. They analyze billing. We operate in real time.
Engineering teams building with AI and cloud at scale
Companies introducing governance into AI adoption
Engineering teams shipping at high velocity
Companies where infrastructure efficiency impacts growth
One of our early customers, with a $150K monthly cloud spend, uncovered and prevented over $10,000 in waste – all in just a few clicks.
Immediate ROI from
Day One
Detected two costly setup errors right when they were set up, saving thousands with instant, 1-click fixes.
Real-Time Alerts. Real Savings
By suggesting a region switch, Atmoz reduced a customer’s cloud bill by 28%, without impacting performance.
Smarter Cloud
Placement
Atmoz automatically assigned ownership to hundreds of forgotten resources, restoring control and accountability.
No More Lost
Resources
No – AI spend is far more volatile than cloud infrastructure spend, and moves faster than monthly finance cycles can track. A single agentic workflow or model choice can 10x a task’s cost with no infrastructure change to flag it. Atmoz’s Tokenomix applies the same real-time detection to token and model usage that it applies to cloud resources – catching runaway AI cost the moment a job runs, not when the invoice arrives.
Engineering decisions create financial impact instantly, but cost feedback often arrives hours, days, or weeks later. The longer the delay, the harder it becomes to fix inefficiencies.
Most FinOps tools focus on reporting and analysis after costs occur. Cloud waste persists because identifying inefficiencies after deployment is often too late to prevent them.
Real-time means identifying inefficient AI usage in Dev tools and applications, as well as in cloud resources, as they are created, before costs appear in billing systems and before waste reaches production.
Engineering teams make the decisions that drive AI and cloud costs. Real-time feedback, ownership, and governance help teams improve efficiency without slowing delivery.
Finius doesn’t just alert, he explains and resolves. Our engineers fix issues in chat and move on.
Every cost has an owner. Every fix is one click. Every leader stays in control.
CLASS OF 2026