AI building energy: BrainBox AI vs 75F vs Nantum

Energy operation starts with the building

Buildings need heating, cooling, and ventilation to follow changing weather and occupancy. BrainBox AI Control, 75F Building Automation, and Nantum AI use data to improve those operating decisions, but their deployment models differ. The buying decision is how the product connects with existing equipment, which decisions it can change, and what the operator sees around energy and comfort.

BrainBox AI Control

BrainBox AI Control learns a building’s thermal behavior and uses that model to adjust HVAC operation. The product connects through a compatible networked control system or supported cloud-connected thermostats, maps control points, and learns before selecting algorithms for the building. Its engine can use weather, utility tariffs, grid-emissions information, and occupant density when that data is available. The documented control process writes adjustments back to equipment at regular intervals, with capabilities such as coordinated rooftop-unit operation, humidity control, and demand-controlled ventilation where applicable. BrainBox AI suits operators who want an optimization layer around an existing HVAC system rather than a complete replacement of every control component. Its distinction is the continuing prediction-and-adjustment loop. Connectivity and available control points still define what it can operate, so the same feature list will not apply identically to every building. The product’s advertised savings percentages are vendor claims, not a demonstrated result for the particular site being purchased.

75F Building Automation

75F Building Automation combines sensors, controllers, thermostats, a gateway, analytics, and cloud AI in a connected building-management system. That makes it relevant when the facility needs improved control infrastructure as well as optimization software. Dynamic Airflow Balancing addresses how conditioned air reaches zones, while the platform also supports central-plant applications for equipment such as boilers, chillers, pumps, and cooling towers. Facilisight gives operators remote access to building data and controls, including a portfolio view for multiple sites. The supported application profiles describe how the system is configured for particular equipment and conditioning needs, so hardware and control scope are central to the proposal. 75F suits facilities modernizing their HVAC controls and wanting one connected system for energy operation, comfort, and visibility. It should be evaluated as a hardware-and-software deployment, with installation and commissioning considered alongside recurring services. Its occupant-facing application is only one interface within that system, rather than evidence of a free building automation package.

Nantum AI

Nantum AI combines energy insights with recommendations and automation for building operations. The automation offering includes an AI recommendation schedule showing where and when changes are proposed and whether they were acted on. Morning-startup optimization uses historical occupancy and real-time weather, while occupancy energy adjustments connect operation with actual building use. Nantum also describes avoiding electric and steam peak-demand charges, making it relevant when timing affects utility costs as much as the amount of energy consumed. The related insights product tracks energy goals, predicts utility expenditures, and monitors carbon-related exposure across a portfolio. Nantum suits operators who want energy decisions connected with cost and sustainability analysis, while retaining visibility into recommendations and actions. Its platform can recommend or automate work, so the selected control configuration should be explicit. The insights product’s zero-hardware positioning does not prove that every automation connection is installation-free. The useful scope is the combination of data, recommendation visibility, and operational control that a building can actually support.

Control infrastructure and the AI layer

BrainBox AI emphasizes adding optimization through supported existing controls or thermostats. 75F supplies a connected controls system whose sensors and application profiles are part of the solution. Nantum connects operational data with recommendations or automation, depending on deployment. BrainBox may fit a compatible building that already has useful control infrastructure; 75F may fit a modernization project needing that infrastructure as well. Nantum’s proposal needs to define the route from its recommendations to actual changes. These are deployment differences that influence both capability and cost before any savings comparison.

Occupancy, comfort, and utility decisions

BrainBox AI feeds weather, tariffs, and available occupant density into its control engine. 75F works through zone-level sensing, airflow, and supported plant applications to manage energy and indoor conditions. Nantum makes occupancy-aware startup and peak-demand avoidance particularly explicit, then connects those actions with utility and carbon insights. A facility with persistent zone imbalances may value 75F’s controls, while a compatible building seeking continuous autonomous adjustment may favor BrainBox. A portfolio focused on timing, demand charges, and the relationship between recommendations and results may find Nantum’s visibility especially useful.

Compare the installation and the recurring scope

No comparable current whole-system rate was established for these three offerings. BrainBox AI’s proposal needs to identify compatible equipment, integrations, and monitoring. 75F’s needs to include hardware, installation, commissioning, and cloud services. Nantum’s needs to distinguish insights, recommendations, automation connections, and support. Contract intervals and building allowances remain unconfirmed until quoted. The displayed savings claim is not a license price, and a free interface does not price the operating system behind it. The meaningful comparison is the capability delivered to the actual building, including its controls and data connections.

Which should you choose?

Consider BrainBox AI Control for autonomous optimization of compatible HVAC, 75F for connected control modernization, and Nantum AI for energy recommendations and automation tied to utility and portfolio insights. Choose around the building’s infrastructure and the operating decisions you need to improve.