Coinbase cut its AI bill nearly in half while usage kept growing using routing, caching, and smarter defaults.The same money is sitting in most companies’ bills, untouched.
Company-reported by CEO Brian Armstrong; Source
Cut your AI bill 20–30%.
Most companies are accumulating AI spend faster than they're building anything useful with it. Latency fixes the spend, and helps teams get more out of it.
Show me what I'm overspending
A read of your usage, in one week.
You can too.
Built for teams spending $30k+/month on AI with no one watching the meter.
How AI cost optimization works
Figures in each step come from the sample report.
The Map
1 weekClaude Opus68%
Claude Sonnet18%
Claude Haiku7%
Claude Sonnet 4.56%
We trace every dollar of spend to model, team, and workload, and hand you the savings number in writing. (One Week)
The Cut
30 daysBatch API$4,512 to $6,015
Flat seats$4,187 to $7,773
Prompt caching$3,383 to $12,945
We implement the cuts (routing, caching, batching, the right billing plans), quality proven at each step. Savings live in 30 days.
The Proof
OngoingBefore$109,100
After$89,300
Your savings in writing, in dollars. The before-and-after your CFO can take to the board.
Read-only. Always.
Read-only from the start — you generate the key, we never touch production, and it's revoked when we're done.
No savings, no bill.
If the audit doesn't find at least 3× its cost in annual savings, it's free. You see the number before committing to anything.
Cut the bill this month. Build something better next.
If your AI spend climbs every month, scattered across models and teams, owned by no one.
We will help you break the cycle.
Questions we get
The objections, answered.
- Does quality drop when you move us to cheaper models?
- Moving to cheaper models is usually not the first step, but it can be considered. Quality is the whole risk, so we handle it first. Before anything changes we agree on an eval for each workload. A change that fails it gets rolled back. Most of the savings come from caching, batching and billing terms anyway, which touch quality not at all.
- Who does the implementation work?
- By default, we hand your engineers exact implementation steps for each change, with the checks to confirm it worked. If you'd rather, we can open the pull requests ourselves and your team reviews and merges them. Either way, expect a few hours a week from one engineer who knows the stack, not a project.
- We already have an internal gateway. Is there anything left?
- Usually yes. A gateway gives you the control point; it doesn't make the routing, cache and commitment decisions for you. Those defaults are where the money sits.
- What do you need from us to start?
- Read-only billing and usage access that you generate, a named engineering contact, and one 45-minute kickoff.