Intelligent Edge OperationsReal-Time Processing at the Source
Deploy compute, AI inference, and analytics at the edge where latency, bandwidth, and autonomy matter most — powered by leading industrial and cloud-native platforms across OT and IT environments.
Edge Vendor & Technology Stack
Deep expertise across leading edge platforms, industrial gateways, AI accelerators, and container orchestration — architected for real-time performance and operational resilience
AWS IoT Greengrass & Azure IoT Edge
Deploy containerized workloads, ML inference, and stream processing at the edge with managed runtimes. Native integration with AWS IoT Core, Azure IoT Hub, and device twins for bidirectional cloud synchronization.
NVIDIA Jetson & Edge AI
GPU-accelerated inference on NVIDIA Jetson Orin and IGX platforms with TensorRT optimization. Deploy computer vision, predictive maintenance, and generative AI models with sub-10ms latency at the point of data capture.
Kubernetes at the Edge
Lightweight orchestration with K3s, KubeEdge, and Red Hat OpenShift Edge for containerized edge applications. GitOps-driven fleet management with Argo CD and Rancher for zero-touch provisioning across distributed sites.
Siemens Industrial Edge & AVEVA
OT-native edge platforms for manufacturing and process industries. Run analytics, ML models, and MES integrations directly on PLCs, HMIs, and industrial gateways with IEC 62443-aligned security.
Intel OpenVINO & ONNX Runtime
Cross-platform ML inference optimized for Intel, ARM, and x86 edge hardware. Model quantization, hardware acceleration via OpenVINO, and portable ONNX deployment across heterogeneous edge fleets.
Dell NativeEdge & HPE Edgeline
Enterprise-grade edge infrastructure with validated hardware stacks, zero-touch provisioning, and centralized lifecycle management. Pre-configured for OT environments with ruggedized form factors and extended temperature ranges.
Edge Computing Capabilities
Production-ready edge services from real-time analytics and protocol bridging through secure fleet management and hybrid cloud orchestration
Real-Time Edge Analytics
Process sensor, video, and machine data locally with Apache Kafka, MQTT, and time-series databases like InfluxDB and TimescaleDB. Achieve sub-millisecond response for closed-loop control and anomaly detection without cloud round-trips.
OT-IT Protocol Bridging
Unified data ingestion across OPC-UA, Modbus, MQTT, and REST APIs with Node-RED and Ignition Edge. Normalize heterogeneous industrial protocols into a single edge data pipeline for analytics and cloud integration.
Edge-to-Cloud Orchestration
Intelligent data tiering with selective cloud sync, store-and-forward buffering, and bandwidth-aware compression. AWS Snowball Edge, Azure Stack Edge, and Google Distributed Cloud for hybrid edge-cloud architectures.
Secure Edge Fleet Management
Zero-trust edge security with certificate-based device identity, network micro-segmentation, and remote attestation. Automated patching, health monitoring, and compliance reporting across thousands of distributed edge nodes.
Architect Your Edge Strategy
Partner with our edge architects to design distributed compute platforms tailored to your industrial and IoT workloads. Achieve sub-10ms inference latency and autonomous edge operations with proven OT-IT convergence patterns.