Mobile AI Development
Contract development of AI systems that run on smartphones
We develop practical AI systems for smartphones, centered on OCR, image recognition, and on-device AI. We support high-speed, high-accuracy implementations for offline environments and field operations.
What we support
- High-speed OCR and barcode recognition
- Offline AI design for field operations
- AI integration into Android / iOS apps
- Support from PoC to production improvement
You can contact us even before the requirements are fully defined. We propose a stable smartphone-based configuration based on business requirements and usage conditions.
Do you have any of these challenges?
OCR is slow or accuracy is unstable
Cloud AI is causing delays depending on network conditions
You want the system to work offline in the field
You want to embed AI functions into a mobile app but do not know how
You completed a PoC but cannot reach production quality
These issues can be addressed with AI that runs directly on smartphones.
We develop AI systems that run on smartphones
Nefrock provides contract development of AI systems that run on smartphones. We can support the entire process from requirement definition and PoC to implementation and improvement.
OCR system development
Barcode and label reading implementation
Image recognition for classification and detection
On-device AI model optimization
AI integration into Android / iOS apps
Adding AI features to existing apps
Why run AI on smartphones?
Running AI on smartphones enables operations that are difficult to achieve with cloud AI alone.
Processing can be done on the spot without depending on the network
Operations are easier because cloud transmission is not required
Fast response times fit field workflows
Stable operation even in offline environments
On-device AI is effective for field operations and real-time use cases.
Why Nefrock
Our strength is not only in AI model development, but in making systems work in a form that is actually usable.
Design focused on high-speed processing on smartphones
Strong expertise in OCR and recognition algorithms
End-to-end support from AI development to app implementation
Flexible customization with our proprietary AI engine
Support from PoC to production improvement
Case studies
Here are examples of how smartphone AI and recognition technologies have been integrated into real products and workflows.
Case study
Glasses fit scoring for JINS
Product recommendations powered by a recommendation engine
A case where the evaluation criteria of store staff were learned to provide fit scoring and ranked recommendations linked with virtual try-on. It supports product suggestions while preserving the quality of customer service.
Use cases
Smartphone AI is used in a wide range of field operations.
Label and printed text reading in manufacturing sites
Barcode and text recognition in logistics sites
Inventory and stocktaking efficiency improvements
Product information reading in retail sites
Image recognition for inspection and checking tasks
Adding AI features to existing business apps
We design the most suitable recognition method and UI for each use case.
From consultation to development
You can consult with us even before the development scope is fixed.
STEP 1
Hearings on issues and requirements
STEP 2
Organizing feasible approaches and proposal
STEP 3
PoC development
STEP 4
App implementation and AI integration
STEP 5
Evaluation, improvement, and operational support
We improve accuracy and speed step by step until the solution is ready for real operations.