AI CORE
LIVE
v4.8
- TS-1904, 18th Floor, Galaxy Sapphire Plaza, Greater Noida-201306
- +91-9650627408
Embed cutting-edge AI capabilities into mobile apps, combining on-device Apple CoreML / Android NNAPI with cloud LLM inference and vision intelligence.
Book a direct engineering audit & feasibility estimate with our principal architects.
Architected for high-concurrency enterprise workloads with strict security SLAs.
Run quantized neural networks directly on Apple Neural Engine and Qualcomm NPUs for instant offline AI.
Integrate local and streaming speech-to-text engines for seamless voice assistant interfaces.
Process camera frames live for object recognition, barcode decoding, facial landmarking, and AR overlays.
Train on-device federated learning models that personalize app content without violating privacy.
Every phase is backed by automated test suites, transparent sprint metrics, and executive milestone sign-offs.
Convert PyTorch models into CoreML / TFLite INT8 formats optimized for mobile silicon.
Build camera and audio buffer capture pipelines feeding directly to neural runtime.
Configure seamless fallback to cloud LLM clusters for complex generative prompts.
Profile GPU/NPU power draw to ensure minimal battery impact during active inference.
We build on hardened, industry-standard frameworks to ensure zero vendor lock-in and effortless long-term maintainability.
Schedule a confidential technical scoping session with our principal engineers. Receive a detailed architecture blueprint, timeline, and cost estimate within 48 hours.