Chat through your AWS, Azure, and GCP billing data in plain English. Self-hosted — deploys in your account in 15 minutes, and your data never leaves.
Question 1 of 5
Drop in FinOps deploys in 15 minutes and starts detecting anomalies across 15+ known cost-anomaly patterns on day one.
20 minutes. We'll confirm fit and walk you through a live deploy.
The right foundation makes FinOps compoundingly easier over time. Let's show you what that looks like.
No sales pitch. We'll share what teams at your stage usually tackle first.
Start with the fundamentals. Our free resources cover what every cloud team should know before buying any tooling.
No pressure. Build the knowledge first — the tooling will make more sense when you're ready.
Most teams choose between SaaS that takes your data, a build you maintain forever, or flying blind.
| Dimension | FinOps SaaS | Internal build | Drop in FinOps |
|---|---|---|---|
| Where your data lives | ✗ Their servers | ✓ Your account | ✓ Your account |
| Time to first answer | Weeks–months | Days–weeks (AI helps) | ✓ 15 minutes |
| Who maintains it | The vendor | You — forever | ✓ Nothing to maintain |
| Detection patterns | Built-in, black-box | Build from scratch | ✓ Built-in + open-source |
| 3-year cost | $240K–$600K | Your eng time, ongoing | ✓ $28,000 * |
* $10,000 install + $500/mo updates & support
Building it yourself is more viable than ever — if you've got the capacity and want to own every line, do it. But if you're the builder wiring this up for the people who just need answers, Drop in FinOps is the build: 15 minutes to deploy, nothing to maintain, detection patterns already in the box.
One-time install. Monthly updates. You own the stack.
Best for: teams who want to own it from day one.
Book a callBest for: teams who want a guided launch and faster signal.
Book a callCancel anytime. You keep the stack.
Compared to:
Best-in-class FinOps content — always free, no paywall.
Foundational concepts, who owns it, and how to start — the essentials before buying any tooling.
Data transfer, managed services, missing visibility — the pitfalls that quietly compound every month.
Cost & Usage Reports, FOCUS v1, billing datasets, and proven strategies for tracking AWS spend.
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How LLMs enhance cloud cost management through automation and intelligent insights — what works and what doesn't.
How a mid-sized engineering team cut AWS spend nearly in half — end-to-end walkthrough.
Book a 20-minute scoping call to see where your team stands.
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