ProductXcelerate™ Blueprints
Pre-validated blueprints for the AI-led product era
Five vertical-ready reference designs uniting validated hardware, embedded software, DigitalSky GenAIoT™ modules, and AgenticSky™ cores, each providing a validated engineering foundation with reusable engineering assets that accelerate productization. Design once, certify once, scale across product lines.
Featured Blueprints
Pick your vertical. Build from a proven blueprint.
Every blueprint bundles reference hardware & EVKs, embedded stacks, connectivity & cloud
patterns, Domain aligned AI and Agentic AI models, and turnkey integration playbooks.
Automotive SDV Gateway Blueprint
SOAFEE-aligned gateway on NXP S32G - secure OTA, ECU telemetry, self-healing diagnostics.
Industrial & BMS Edge Gateway Blueprint
NPU-equipped IP65 gateway - IO-Link, BACnet, predictive maintenance, self-healing control.
Retail Auto-Checklist Kiosk Blueprint
Vision checkout on Qualcomm QCS8250 - AI recognition, biometrics, agentic concierge.
Home Automation Bridge Blueprint
Matter-ready PSoC6 bridge - secure OTA lifecycle, adaptive automation, self-healing mesh.
Wearable Companion Blueprint
i.MX 8Mini wearable - on - device EdgeAI + GenAI, fall detection, always-on companionship.
No – ProductXcelerate is a set of engineering blueprints and accelerators we deliver as part of an engagement to speed your program. There are no hidden licensing or capex fees for the blueprints themselves.
Blueprints are integration-ready: MosChip adapts reference code and HW to your IP, performs system integration, and hands over production-ready artefacts.
Reference hardware, BSPs, connectivity, and validated AI pipelines are pre-validated; agentic components and GenAI flows are delivered as accelerators that require integration and validation for your product’s safety & compliance profile.
Yes. Blueprints are adaptable, allowing OEMs to tailor hardware interfaces, software stacks, AI models, and digital architecture while still retaining the advantages of a pre-tested foundation.
Blueprints include 75+ pre-trained, domain-aligned AI models, and AgenticSky modules, reducing AI model risk and accelerating AI performance validation. Teams gain measurable AI improvements with lower experimentation costs.
Absolutely. By using pre-validated hardware, software, and AI components, OEMs reduce:
- Integration risks
- QA overhead
- Field reliability issues
- Model performance uncertainty
- Cost of failed iterations