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EN4DDAM
Open Edge AI Platform for BMS, EMS & Industrial IoT
EN4DDAM is an AI-powered edge platform that unifies Building Management Systems (BMS), Energy Management (EMS), Building Automation (BAS), Industrial IoT, and DDC controllers into one open ecosystem. It supports BACnet, Modbus, MQTT, and REST APIs for seamless integration with existing infrastructure. Featuring local Edge AI, real-time monitoring, predictive maintenance, analytics, and secure on-premise deployment, EN4DDAM powers 200+ commercial and industrial installations worldwide.
Hi Product Hunt 👋
We're excited to introduce EN4DDAM.
After years of building automation projects, we realized most Building Management Systems are closed, hardware-dependent, and difficult to integrate with modern AI and IoT technologies.
We built EN4DDAM to change that.
Instead of replacing existing infrastructure, EN4DDAM connects with BACnet, Modbus, MQTT, PLCs, DDC controllers, energy meters, HVAC systems, chillers, lighting, and industrial equipment through one open platform.
Some highlights:
• Edge AI with local processing
• Native BACnet, Modbus & MQTT
• On-premise or cloud deployment
• Real-time dashboards & alarms
• Predictive maintenance
• Energy analytics
• REST APIs for developers
• Open architecture with no vendor lock-in
Today, EN4DDAM is already running across more than 200 commercial and industrial deployments.
We'd love your feedback:
• Which integrations would you like to see next?
• Would you prefer Edge AI or Cloud AI for automation?
• What challenges do you face with existing BMS or IoT platforms?
Looking forward to answering your questions throughout the launch. Thank you for checking out EN4DDAM!
About EN4DDAM on Product Hunt
“Open Edge AI Platform for BMS, EMS & Industrial IoT”
EN4DDAM was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #32 on the daily leaderboard. EN4DDAM is an AI-powered edge platform that unifies Building Management Systems (BMS), Energy Management (EMS), Building Automation (BAS), Industrial IoT, and DDC controllers into one open ecosystem. It supports BACnet, Modbus, MQTT, and REST APIs for seamless integration with existing infrastructure. Featuring local Edge AI, real-time monitoring, predictive maintenance, analytics, and secure on-premise deployment, EN4DDAM powers 200+ commercial and industrial installations worldwide.
On the analytics side, EN4DDAM competes within Hardware, Internet of Things and SaaS — topics that collectively have 280.6k followers on Product Hunt. The dashboard above tracks how EN4DDAM performed against the three products that launched closest to it on the same day.
Who hunted EN4DDAM?
EN4DDAM was hunted by Ensmart . A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of EN4DDAM including community comment highlights and product details, visit the product overview.