Every user interaction costs you money. That's a growth problem.
Loc.ai moves inference from OpenAI's servers to your users' own devices. Same API. Zero code changes. Up to 95% cheaper at scale.
The problem
You're calling OpenAI every time a user does something. At low volume, it's manageable. At scale, it's margin destruction — and rate limiting hurts the product. There's a better architecture.
How it works
1
Your app calls the Loc.ai endpoint
Same OpenAI-compatible API you already use.
2
Loc.ai routes to the user's device
Laptop, workstation, or local server.
3
Inference runs locally
No cloud call. No API bill. No latency.
If a user's device can't handle it, Loc.ai routes to cloud automatically. You set the threshold.
What changes (and what doesn't)
What stays the same
- — Your OpenAI API integration
- — Your existing codebase
- — Your deployment pipeline
- — Your users' experience
What changes
- → Inference costs drop by up to 95%
- → No single point of failure on cloud uptime
- → User data stays on their device
- → Costs become predictable — not variable
Built for these products
Meeting intelligence & transcription tools
Writing and productivity assistants
Customer support AI
Sales intelligence platforms
Code assistants
Document processing tools
Starts at £35/month. 30-day free trial. No credit card required.
Start free trial