IRIS
AI-Powered Cloud Cost Intelligence

One place for
every cloud cost

IRIS connects your AWS accounts, models infrastructure spend in real time, and gives everyone on your team — from SRE to CFO — the clarity to control costs before they become surprises.

Multi-account AWSAI cost modellingNatural language chatBudget alerts
Our mission

Cloud bills shouldn't require a PhD to understand

We built IRIS because cloud costs are opaque, multi-account reality is complex, and most teams find out they have a cost problem on the invoice date. IRIS flips that — giving a single point of truth for every pound and dollar of infrastructure spend, readable by engineers, managers, and finance alike.

From a solo engineer scanning a single account to a platform team managing a cross-org estate — IRIS scales with you, models the costs others can't see, and lets you talk to your infrastructure like you'd talk to a colleague.

What IRIS does

Everything you need to own your cloud spend

Six capabilities, one dashboard — built around the way engineering and finance teams actually work.

Always-on cost scanning
Real-time estimates per resource, across every connected account and region. No manual exports, no stale spreadsheets.
AI cost modelling
Serverless, containers, and ephemeral workloads are notoriously hard to price. IRIS uses ML to model costs that standard billing APIs can't.
Chat with your infrastructure
Ask "What's driving my Lambda costs this month?" or "Which account grew the most?" in plain English — IRIS answers with your live data.
Cross-account budget alerts
Set spend thresholds at the resource, account, or entire org level. Breach a limit and your team gets an email before the bill arrives.
Trend & delta detection
Daily cost snapshots surface exactly what changed between cycles — new resources, removed ones, and spend spikes — before they compound.
Built for every role
Engineers get per-resource granularity and API access. Managers and finance get monthly projections, clean summaries, and budget dashboards.
Powered by AI

Model the costs
that don't show up on the bill

Serverless functions, auto-scaling groups, and ephemeral containers don't have simple per-hour rates. IRIS uses AI to analyse invocation patterns, concurrency spikes, and data transfer to build accurate monthly estimates — even where AWS Cost Explorer can't.

Then ask questions in plain English. “What's my most expensive Lambda?” “Which account changed the most last week?” “Am I going to breach my Q2 budget?” — IRIS answers with your live data, no SQL required.

You
What's driving my EC2 spend this month?
IRIS
Your top 3 EC2 costs are: i-0abc123 (m5.xlarge, eu-west-1) at $312/mo, i-0def456 (c5.2xlarge, us-east-1) at $280/mo, and i-0ghi789 (r5.large, eu-west-1) at $148/mo. Combined that's 68% of your EC2 bill.
You
Is i-0def456 necessary?
IRIS
i-0def456 has been running 24/7 for 47 days with avg CPU < 4%. It looks like it could be a development instance — consider scheduling or rightsizing to save ~$224/mo.
Who it's for

One tool, every perspective

Engineers & SREs

Pin down exactly which Lambda invocations, idle RDS instances, or data-transfer spikes are eating your budget. Drill into any resource in seconds.

Finance & FinOps

Monthly projections, annual forecasts, and service-level breakdowns — all in one place without waiting on an engineer to run a Cost Explorer query.

Engineering Managers

Set budgets per team, account, or project. Get alerted the moment a threshold is crossed. Own the cost conversation before it becomes a board conversation.

IRIS

Ready to see your cloud clearly?

Connect your first AWS account in minutes. No agents, no code changes — just scan targets and results.