Mobile AI Services &OnDevice Consulting
Expert OnDevice AI services and consulting for mobile applications. We help you integrate Visual Language Models and other AI capabilities directly into your iOS and Android apps.
Expert OnDevice AI implementation services
Our Services
OnDevice AI Implementation
We specialize in integrating Visual Language Models and other AI capabilities directly into mobile applications with complete privacy and offline functionality.
Mobile Implementation
Custom AI integration for iOS and Android apps using Core ML, TensorFlow Lite, and ONNX Runtime.
Model Optimization
Optimize your models for mobile performance with quantization, pruning, and platform-specific optimizations.
Custom Solutions
Tailored AI solutions for computer vision, NLP, and multimodal applications on mobile devices.
Our Work
Products
Innovative multimodal AI applications showcasing our expertise in OnDevice inference and developer tools.
Baseweight Snap
The first app on the Google Play Store to run Visual Language Models OnDevice. Baseweight Snap showcases advanced multimodal AI with complete privacy and offline capability.
Visual Language Model
Advanced AI understanding images and text
Complete Privacy
All processing happens OnDevice
Offline Capable
Works without internet connection
* Requires flagship Android device for optimal performance
Baseweight Canvas
A desktop multimodal application designed for developers to interact with images and audio using Visual Language Models. Vision and audio first, unlike traditional LLM runners.
Multimodal AI
Image and audio processing capabilities
Local Processing
Run models on your machine
Cross-Platform
Available for Windows, Mac, and Linux
* Pre-release version available now
Our Expertise
Deep experience in mobile AI technologies and frameworks
AI Frameworks
Core ML, TensorFlow Lite, ONNX Runtime, Executorch, and custom C++ implementations.
Privacy & Security
On-device processing ensures user privacy while maintaining model security and IP protection.
Performance
Optimized inference pipelines for real-time performance on mobile hardware constraints.