We're building a service that democratizes on-device language model optimization for mobile developers. By automating prompt tuning and model fine-tuning through a simple web interface, we eliminate the need for specialized ML expertise, GPU infrastructure, and Python toolchains, making it possible for any developer to achieve production-quality results with on-device AI.
Problem
Dozens of apps are shipping with on-device AI today. But they all ship with unoptimized prompts. A developer writes a prompt, tests it on two examples, and calls it done. That's like launching an app without QA.
And when prompt engineering isn't enough, the barriers get worse:
- Python ML toolchain, iOS developers know Swift, not PyTorch
- GPU rental needed for training
- Retraining required on model updates in OS releases
Result: advanced optimization is inaccessible to most mobile developers.
How It Works
Upload Examples
Give us 10 input/output pairs showing the behavior you want. That's it, no datasets, no labeling tools.
Automated Optimization
We generate hundreds of test cases from your examples, run multiple rounds of prompt optimization, and measure quality at each round.
Deploy
Get a validated, optimized prompt in minutes. Or a ready-to-deploy adapter when you need more. No Python. No GPUs. No ML expertise required.
Why
Hardware
Apple, Qualcomm, Google, MediaTek, and Samsung all ship NPUs capable of running 3B+ parameter models. Hundreds of millions of GenAI-capable smartphones shipping annually.
Software
iOS 26 Foundation Models. Google ML Kit GenAI APIs. Real apps already shipping.
Regulation
EU AI Act, GDPR, HIPAA incentivize local processing. Privacy-sensitive verticals, health, finance, mental health, are moving toward on-device.
Get Early Access
Interested? Join the waitlist and we'll let you know when it's ready.
Questions? hello@boringai.tech