The accountability layer for AI
AI systems optimize for speed.
Quaneuron restores accountability.
See cost, latency, retries, and duplicate calls by feature in production. Ship fast without letting velocity turn into waste.
Early access is approved in small cohorts. You’ll get an email when your access is ready.
Quaneuron never stores prompts or completions.
Only cost, latency, errors, and call patterns.
AI is moving from experiments to infrastructure. Infrastructure demands visibility and discipline.
Find duplicate calls
Catch retry loops
Spot expensive workflows
Track AI spend over time
Set budgets and alerts
Quaneuron Planner
Estimate the real cost and margin of your AI product before you build it.
Adjust users, requests, and model choices to see how AI spend impacts revenue and profitability.
Free tool. No login required. Built to help you avoid surprise bills.
Use it to:
- Compare model options by cost and latency
- Stress-test usage assumptions
- See margin impact as users scale
- Get a reality check before you ship
Connect
Drop in an SDK or proxy and start seeing AI spend and latency by feature.
Observe
Track cost, latency, errors, and patterns. No prompts or completions stored.
Reduce
Spot inefficiencies, set budgets, and fix the biggest cost drivers first.
See the real cost drivers
Understand which features, workflows, and models are driving spend so you can make sane tradeoffs.
Catch waste early
Find the “silent burners” like duplicates and retries before they turn into surprise bills.
Make AI cheaper and cleaner
Reduce unnecessary compute. Lower costs. A lighter footprint comes for free when compute goes down.
SaaS startups
Keep your AI costs under control as usage grows, without becoming a full-time FinOps team.
Product + engineering teams
Know what’s happening in production and fix waste fast, without digging through spreadsheets.
Teams with a sustainability goal
If you want to reduce AI’s footprint, the fastest path is reducing unnecessary compute.
Join the waitlist
Get updates as Quaneuron rolls out. If you’re shipping AI features today, we’d love to learn what you’re seeing.
Access is approved in batches so we can onboard teams carefully and keep feedback tight.
Access is approved in batches so we can onboard teams carefully and keep feedback tight.