Cloud cost optimization
Hyvo Cloud
Finds the money. Fixes it too.
Cloud bills grow in the dark — idle instances, oversized databases, forgotten environments, uncached LLM calls. Most cost tools stop at a dashboard and a recommendation someone still has to implement. Hyvo Cloud explains why the bill moved in plain English, unifies infra and LLM spend into one number, and ships the fix as a pull request instead of a suggestion.
For teams whose cloud bill grew faster than their revenue.
Why it needs to exist
This is the status quo Hyvo Cloud replaces.
The bill just goes up
Nobody can say why this month cost more than last month, only that it did.
Recommendations pile up, nobody applies them
A dashboard full of "you could save $X" that requires an engineer's afternoon to actually do.
LLM spend is a black box
Token costs stay invisible until the invoice, with no idea which feature or customer is driving them.
What it does
Every module below is included in every plan.
Root cause, in plain English
"This spike is your new /generate endpoint calling GPT-4 since Tuesday's deploy" — not just "spend up 40%."
One number for cloud and LLM spend
Infra and token costs unified per feature or customer, so you know what's actually profitable.
Fixes that ship as pull requests
Right-sizing and config changes arrive as a reviewable PR with the dollar savings attached, not a line in a dashboard.
Guardrailed autonomy
Low-risk changes apply themselves; anything riskier waits for a click.
A kill switch for runaway spend
Auto-throttles or downgrades a model tier per feature before a budget ceiling breaks.
Forecasts tied to your actual roadmap
Tell it what's launching next month and get a real projection, not a trendline.
How it works
Connect your cloud and model providers
AWS, GCP, or Azure billing plus OpenAI/Anthropic usage, read-only to start.
It finds the story behind the number
Correlates spend against deploys, traffic, and feature usage to explain moves in plain English.
Fixes ship as pull requests
Safe changes arrive as a diff you review and merge, not a task added to a list.
Guardrails stay on
Budgets, kill switches, and anomaly alerts keep watching after the initial cleanup.
Built for
Seed to Series A startups
A team of 3-8 engineers with no dedicated FinOps hire and a bill that outgrew the runway plan.
AI-heavy products
Teams shipping LLM features where token cost is now a real line item, not a rounding error.
Agencies running client infrastructure
Need cost visibility and control across many small AWS or GCP accounts at once.
Questions
Do you need write access to our infrastructure?
Read-only to start — write access, for auto-applying fixes, is opt-in per change type.
Which clouds and model providers do you support?
AWS, GCP, and Azure for infra; OpenAI, Anthropic, and most OpenAI-compatible providers for LLM spend.
What if a suggested change would break something?
Every change is backtested against real historical load before it's proposed, and risk-scored so you know what's truly safe to automate.
How fast do we see savings?
Most of the obvious cuts — idle resources, oversized instances — surface in the first week.
See Hyvo Cloud in action.
A 20-minute demo with the team that builds it — no sales script, no obligation.
Book a demo