CoreML AI Specialist Specialist
On-Device AI, CoreML & Machine Learning for iOS Apps
Bring intelligent features to your app with zero latency, zero cloud API costs, and 100% privacy-first on-device AI.
Challenges with AI in Mobile Products
High monthly cloud API bills (OpenAI/Claude) per active user.
Latency issues causing slow user responses on cellular networks.
Privacy concerns sending sensitive user data to cloud servers.
Uncompressed AI models bloating app download size.
On-Device AI & CoreML Integration
Optimized CoreML quantization for lightning-fast Apple Neural Engine (ANE) inference.
On-device Local LLM deployment (Llama 3 / Mistral) using Swift Transformers.
Vision AI object detection, pose estimation, and text OCR.
Hybrid architecture: local CoreML execution with cloud fallback when needed.
Frequently Asked Questions
Q: Can iOS run LLMs locally?
Yes! Modern iPhones with A16/A17/A18 chips run quantized 3B/7B parameter models locally with high token speeds.
Q: Does on-device AI work offline?
Yes, CoreML models run 100% offline with zero internet connectivity required.
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