Connected Intelligence at the Network Edge
IoT & Edge Computing
Harness the power of billions of connected devices and real-time edge intelligence to transform enterprise operations. With 10M+ managed devices across 50+ global edge deployments, Scidecs delivers sub-10ms latency processing that turns raw sensor data into instant, actionable decisions.
OUR VISION
Intelligence Where It Matters Most
The future of enterprise computing lives at the edge. By processing data closer to where it is generated, our IoT and edge computing platform eliminates latency bottlenecks, reduces bandwidth costs, and enables real-time decision-making across manufacturing floors, supply chains, smart cities, and critical infrastructure.
Real-Time Processing
Traditional cloud-centric architectures introduce unacceptable latency for time-critical industrial processes, autonomous systems, and safety-critical applications that demand sub-millisecond response.
Our edge computing fabric processes data at the point of creation with sub-10ms latency, enabling autonomous decision-making without cloud round-trips across 50+ global edge locations.
Unified Device Management
Enterprises struggle with fragmented IoT ecosystems where heterogeneous devices, protocols, and vendors create management complexity that scales exponentially with fleet size.
Our unified IoT platform manages 10M+ devices through a single control plane with protocol-agnostic connectivity, automated provisioning, and OTA firmware orchestration at enterprise scale.
Security at the Edge
Distributed edge environments expand the attack surface dramatically, with every connected sensor and gateway becoming a potential entry point for sophisticated cyber threats.
Our zero-trust edge security framework implements hardware-rooted device identity, encrypted data pipelines, and AI-driven anomaly detection that neutralizes threats in real-time at every network layer.
Core IoT & Edge Capabilities
Three pillars of intelligent edge architecture that power mission-critical IoT deployments at global enterprise scale.
Edge AI Processing
Deploy machine learning inference directly on edge devices and gateways for real-time analytics, predictive maintenance, and autonomous decision-making without cloud dependency.
- On-device ML inference engines
- Predictive maintenance algorithms
- Real-time computer vision at the edge
IoT Orchestration
Manage millions of heterogeneous devices through a unified control plane with automated provisioning, real-time telemetry, and intelligent workload distribution across edge clusters.
- Protocol-agnostic device connectivity
- OTA firmware and configuration management
- Digital twin synchronization
5G Edge Integration
Leverage private 5G networks and multi-access edge computing (MEC) to deliver ultra-reliable, low-latency connectivity for industrial automation, autonomous vehicles, and smart infrastructure.
- Private 5G network deployment
- Multi-access edge computing (MEC)
- Network slicing for IoT workloads
IoT & Edge Capabilities
Edge Intelligence
- TinyML Deployment
- Federated Edge Learning
- Stream Processing
- Anomaly Detection
- Edge Analytics Pipelines
Device Management
- Fleet Provisioning
- OTA Updates
- Device Shadow/Twin
- Lifecycle Management
- Remote Diagnostics
Connectivity
- MQTT / AMQP / CoAP
- LoRaWAN / NB-IoT
- Private 5G / LTE
- Mesh Networking
- Satellite Backhaul
Industrial IoT
- SCADA Integration
- OPC-UA Connectivity
- Digital Twin Modeling
- Predictive Maintenance
- Safety Instrumented Systems
IoT & Edge Impact
SUCCESS STORY
Smart Factory IoT Transforms Automotive Manufacturing
Our IoT and edge computing platform was deployed across 12 manufacturing plants for a global automotive leader, connecting 250,000+ sensors and actuators to a unified edge intelligence fabric. Real-time predictive maintenance reduced unplanned downtime by 72%, while edge AI quality inspection achieved 99.7% defect detection accuracy, saving $45M annually in waste and rework costs.
IoT & Edge Technology Ecosystem
Scidecs leverages industry-leading cloud, container, infrastructure-as-code, and observability platforms to build resilient IoT and edge computing architectures at global scale.
Explore More Innovation
SciLabs Research
Global R&D center driving breakthrough innovation with 500+ researchers across 15 countries
AI Research
Advanced artificial intelligence research and enterprise applications powering next-generation solutions
Extended Reality
Immersive AR/VR/MR experiences for enterprise training, design, and remote collaboration
Autonomous Systems
Self-driving vehicles, robotics, and autonomous enterprise operations powered by AI and edge intelligence
Connect Your Enterprise to the Edge
Partner with Scidecs to design and deploy enterprise-grade IoT and edge computing solutions that deliver real-time intelligence, reduce operational costs, and unlock new revenue streams from connected operations.