Device and protocol integration
Across OPC UA, MQTT, Modbus, EtherNet/IP, Sparkplug, and proprietary machine protocols.
The connected layer underneath the intelligent factory.
Smart factories run on connectivity. The intelligence layered on top is only as good as the telemetry, event streams, and contextualised data underneath.
Entiovi engineers the industrial IoT layer that makes the rest possible - connected assets, real-time machine telemetry, edge analytics, and the data pipelines that move signal from the shop floor into the systems that act on it.
Entiovi designs and builds connected industrial platforms across machine telemetry, sensor ecosystems, and edge-to-cloud data infrastructure. The work spans device and protocol integration, edge analytics, event-driven processing, time-series engineering, and the AI workloads that turn raw telemetry into operational intelligence.
The architecture is built for plant reality - intermittent networks, mixed protocols, legacy equipment, and the operational constraints that come with a real factory. A connected platform that works for a single line in a controlled environment is not the same engineering problem as one that runs across a multi-site operation. Entiovi builds for the second.
Across OPC UA, MQTT, Modbus, EtherNet/IP, Sparkplug, and proprietary machine protocols.
For real-time inference and aggregation close to the asset.
For high-volume time-series ingestion with quality, ordering, and back-pressure handling.
Covering alarms, thresholds, and complex event detection across machine and process signals.
Joining telemetry to product, order, shift, and asset hierarchy for usable analytics.
With real-time KPIs, OEE, energy, throughput, and quality views grounded in live data.
Across multi-vendor equipment.
Across plants.
At machine and product level.
For root-cause and incident response.
For distributed manufacturing networks.
Predictive, vision, and process - fed by a single connected data layer.
A unified, trustworthy view of how the plant is actually running, faster operational decisions grounded in live data, the foundation for predictive and visual intelligence to operate effectively, and a connected data asset that scales as more lines, sites, and assets come online.
Engagement begins with a connectivity and data discovery - assets, protocols, networks, existing historians, and the operational use cases the platform has to support. From there, Entiovi designs the edge-to-cloud architecture, engineers the integration and pipeline layer, layers in event-driven processing and operational intelligence, and operates the platform as it expands across the operations footprint.
The connected factory is an engineering project before it is an AI project. Entiovi treats it that way - and builds the layer the rest of the intelligence rests on.
Talk to Entiovi about putting this discipline into production - from design and engineering through ongoing operation, with delivery from India and regional presence in your market.