Imagine a tool that simplifies the creation of an Independent Data Layer, empowers you to deploy advanced controls effortlessly, and seamlessly connects buildings to various partner applications like fault detection or energy optimization - that's exactly what Normal Software does. What sets Normal apart is its simplicity. Unlike many other solutions, Normal is easily deployable as a standalone docker container, enabling smooth integration into existing products and IT infrastructures or directly embedding into your own product.
Founded in 2020, Normal Software was created by industry pioneers to bring building programming into the modern era of software development. The team at Normal specializes in building controls, data management, and applications for IoT (Internet of Things) analytics. They focus on providing open, transparent, and portable solutions for controlling and analyzing IoT devices.
Key features of the Normal Framework (NF) offering include:
- Open & Transparent Approach: NF emphasizes openness and transparency in the design, with support for native BACnet and an API-first approach.
- Powerful APIs and SDK: NF offers powerful APIs and a JavaScript SDK for developers to easily integrate and extend their solutions. This eliminates the need for proprietary languages or complex tools.
- DataOps Features: NF provides tools for DataOps, including data modeling, normalization, quality monitoring, and rapid identification and resolution of outages and quality issues. They also support an "Edge-Only Model" for data processing.
- No 3rd Party SaaS Subscription: NF does not require a third-party subscription for monitoring and securing data, offering a self-contained solution.
Normal offers a comprehensive platform for managing and controlling IoT devices and data, with a focus on openness, flexibility, and ease of integration. They look forward to working with you to create a world where IoT analytics and controls are open, portable, and sharable.
Drew DePriest from McKesson reveals how to spot bad APIs before they cost you six figures. Real red flags, practical questions, and what good looks like.
This NexusCon 2025 session features Conor Cleary of Tefiki tackling one of the hardest problems in smart buildings: how to drive real energy and comfort improvements in the 87% of buildings that lack modern controls.
NexusCon 2025’s “Kickstarting Energy Savings” session goes straight after the problem the Untapped 87% white paper laid out: small-to-mid-size buildings are most of the building stock, and most still don’t have real controls or monitoring.
This NexusCon 2025 panel, moderated by Rachel Kennedy (Solutions Engineer, KODE Labs), brings together April Yi (Director, Digital Engineering, Microsoft), Niharika Kishore (Sr. Sustainability Specialist, Amazon), and Thomas Grant (Global Manager of Energy and DTV Energy, Wendy’s) to unpack what “AI for energy management” actually means in practice.
At NexusCon 2025, April Yi, Director of Digital Engineering at Microsoft, walked through how her team is using machine learning to dynamically control HVAC start and stop times across roughly 50 buildings.
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