Industrial IoT Solutions for Smart Manufacturing & Intelligent Operations
Robust edge-to-cloud IoT solutions that connect assets, optimize operations, and enable real time informed decision-making
Industrial IoT is transforming factories from isolated production environments into connected, intelligent, and continuously optimized operations. MosChip enables this transformation with scalable Industrial IoT solutions spanning machine monitoring, industrial automation, digital manufacturing, edge computing, AI/Edge AI, and agentic industrial intelligence.
From connected assets and real-time production visibility to predictive maintenance, operational intelligence, and autonomous decision support, we help industrial enterprises build smarter, faster, and more resilient manufacturing ecosystems across plants, production lines, and distributed operations.
Why
MosChip?
Hardware-to-AI Accountability
One partner across sensors, boards, firmware, gateways, cloud, analytics, and AI
Machine-Layer Engineering Depth
Deep expertise in embedded software, firmware, BSPs, drivers, RTOS/Linux, and edge systems
Brownfield Practicality & OT-IT Integration
Connect legacy machines, PLCs, controllers, plant networks, MES/ERP systems, and cloud platforms without disruptive replacement
Edge-to-Cloud Intelligence
Enable remote monitoring, predictive maintenance, diagnostics, vision inspection, and AI insights
Production-Ready Deployment
Accelerate pilots and multi-site rollouts with DigitalSky GenAIoT™,
ProductXcelerate™, AgenticSky™, Litmus, and lifecycle-ready industrial systems.
What We Deliver?
IIoT gateways, industrial protocols, retrofit IoT, legacy modernization
OT–IT integration, industrial DataOps, platform, dashboards, apps
Predictive maintenance, OEE/loss intelligence, energy/utilities optimization, quality analytics
Connected workforce, safety/compliance, supply chain/logistics visibility
Agentic AI, workflow automation, digital twins, intelligent decision support
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MosChip & Litmus: Standardizing Industrial IoT Foundation
MosChip combines Litmus Edge’s production-grade Industrial DataOps foundation with MosChip’s full-stack engineering expertise and GenAIoT accelerators to help industrial enterprises operationalize intelligence across plants, production lines, and distributed assets.
Litmus
Production-grade OT data foundation
- Legacy and modern asset connectivity
- Protocol integration and OT data normalization
- Edge operations with centralized fleet management
- Unified OT–IT industrial data pipelines
MosChip
Engineering and integration layer
- Machine onboarding, firmware, edge engineering
- OT–IT integration and plant connectivity
- Plant-specific AI enablement and deployment
- Edge-to-cloud industrial system integration
DigitalSky GenAIoT
Custom IIoT acceleration layer
- AI-powered operator assistance
- Intelligent workflow automation
- AI-ready dashboards and analytics pipelines
- Agentic decision support
Industrial Systems We Power
Featured Case Study
Device Lifecycle Management Solution
Yes – from retrofitting legacy assets to deploying cloud-native, intelligent platforms, we help accelerate transformation with minimal downtime.
Absolutely. Our systems power 35M+ devices globally, built with microservices, IaC, and mesh-ready architectures for full production readiness.
We embed secure boot, TPM, TEE, encrypted OTA, and zero-trust controls – aligned with industry compliance needs.
Yes – we deploy custom ML pipelines and 75+ ready AI models for predictive maintenance, anomaly detection, and more.
Yes – we work across BLE, Zigbee, LoRa, NB-IoT, 4G/5G and integrate with AWS, Azure, and hybrid cloud platforms at scale.
MosChip connects machines, systems, and data through IIoT, edge, and cloud to create a unified, real-time operational layer. By embedding AI and Agentic AI across this stack, it enables continuous monitoring, contextual analysis, and intelligent assistance for faster decision-making. This approach bridges OT–IT environments, transforming fragmented operations into connected, insight-driven systems that improve visibility, efficiency, and responsiveness across the factory.
Improved uptime, reduced downtime, better OEE, and real-time visibility into machine health and production performance, driven by continuous monitoring and analytics.
