At ALGOFACT, we design and implement cloud-based IoT infrastructures that empower businesses to digitally transform their physical operations. Our focus is on building scalable, secure, and data-driven IoT systems that enable real-time monitoring, predictive insights, and automated control—especially for manufacturing plants, industrial facilities, and energy-focused environments.
IoT (Internet of Things) Integrations
While we don’t manufacture hardware ourselves, we collaborate with hardware partners and support clients in identifying and integrating the right components. Using industry-standard protocols like MQTT, WebSocket, and HTTP, we build robust communication architectures that seamlessly connect edge devices to the cloud.
Our solutions unify data ingestion, processing, visualization, and integration—turning physical operations into intelligent, optimized systems through powerful dashboards, AI-based analytics, and enterprise platform connectivity.
Our solutions unify data ingestion, processing, visualization, and integration—turning physical operations into intelligent, optimized systems through powerful dashboards, AI-based analytics, and enterprise platform connectivity.
Key Features
Cloud-Native IoT Infrastructure
We deliver end-to-end cloud-based architectures that handle high-frequency device data, process information at scale, and support millions of messages per second using platforms like AWS IoT Core, Azure IoT Hub, or Google Cloud IoT. These systems are tailored to your factory’s or facility’s specific workflows and KPIs.
Real-Time Device Communication with MQTT & WebSockets
We use lightweight, low-latency communication protocols like MQTT and WebSockets to establish persistent connections between devices and cloud services. This ensures seamless telemetry, remote command execution, and alerting for time-critical industrial applications.
Custom Monitoring Dashboards
Operational teams get access to real-time dashboards that visualize key performance metrics, environmental data, alerts, and device health. These interfaces can be accessed via web or mobile and are designed for both technical and non-technical users.
Predictive Maintenance with AI
By collecting historical sensor data, we apply AI and machine learning models to detect anomalies, predict equipment failures, and optimize maintenance schedules—reducing unplanned downtime and extending equipment lifespan.
Edge & Cloud Synchronization
For manufacturing environments with connectivity constraints, we deploy edge processing mechanisms (using Raspberry Pi, Jetson, or industrial gateways) that sync with the cloud for advanced analysis and storage once online.
Enterprise Platform Integration
We ensure smooth data exchange between your IoT system and existing enterprise platforms like ERP, MES, or SCADA using secure APIs. This enables real-time visibility across operations, from the factory floor to executive dashboards.
