Questions, Answered

Brick AI is the infrastructure operating system for the AI era, connecting the grid, physical infrastructure, and compute. We unlock constrained power and operate that infrastructure intelligently end-to-end, where we believe that your increased efficiency is additional capacity.

Most facilities and grids waste power they have already paid for and already interconnected. Every megawatt Brick AI recovers is a megawatt that can be redeployed, without waiting years for new generation, transmission, or interconnection to be built.

Through grid and behind-the-meter optimization. Brick AI connects to your existing building, industrial, and data center systems, builds a live operational model, and uses RL to shift load, sequence equipment, tune setpoints and correct faults, converting wasted or inefficient consumption into usable, dispatchable capacity.

Brick AI owns the software and controls layer across the full asset lifecycle: PermitOS, controls and gateways, DCIM, digital twin, energy optimization, demand response and grid services, and predictive operations. The same system that helps build the infrastructure keeps running it as conditions and load change.

PermitOS is Brick AI’s permitting automation system and the front end of our deployment stage. It maps required permits, agencies, sequencing and dependencies, automates the supporting document workflow, and identifies lawful ways to shorten the path, reducing time-to-power and execution risk on large projects.

Our differentiation is end-to-end ownership. Each of those players holds one slice of the stack and hands off at the boundary, where cost and schedule risk accumulate. Brick AI connects and operates the full infrastructure stack, so capacity, delivery and operations stay accountable to a single OS.

Utilities and grid operators; AI labs, neo-clouds and data center operators; industrial, manufacturing and commercial real estate portfolios; and hospitality and public-sector facilities. The common thread is constrained power and fragmented infrastructure - growth is limited until capacity is unlocked.

Unlock grid capacity and make existing infrastructure more productive. Brick AI delivers load flexibility, demand response, and coordinated behind-the-meter optimization across your service territory, helping you serve new AI and industrial load, and defer or reduce buildout, using the network you already own.

Brick AI helps you get powered compute faster, then run it better. We drive permitting automation, and then operate the site more efficiently and reliably.

Unlock capacity for new load, reduce operating cost, and increase uptime and output. The same live model that lowers consumption also frees capacity for expansion and flags developing faults before they cost you production.

We lead with capacity and speed: megawatts freed, time removed from the path to power, and equipment run closer to its best efficiency point. We measure performance against a pre-deployment baseline, using utility bills, interval meter data, and operational trends. Results are then normalized for weather, occupancy, and production.

No replacement required. Brick AI sits above the infrastructure you already run, integrating over BACnet/IP, BACnet MS/TP, Modbus RTU and TCP, KNX, MQTT and OPC UA, plus vendor-specific pathways where technically feasible. Most sites add gateways, sensors or submeters. Final scope is determined by factors such as your equipment, network access, and approvals.

Typically 1-2 days on site per facility, installed on top of your existing equipment. Rule-based optimization is active from day one, and reinforcement learning takes over as operating data accumulates.

Brick AI can begin in monitoring or advisory mode and move to human-in-the-loop or closed-loop control only after your review. Changes stay inside operating constraints you approve, and fail-safe logic reverts to your existing BMS or BAS on any connectivity, data quality or control risk. The architecture is enterprise-minded: controlled connectivity, access management, least-privilege permissions, logging and secure update practices, confirmed in your security review. We focus on equipment and facility data and avoid unnecessary personal data collection.

For energy optimization, pricing pairs an upfront deployment cost (gateways, sensors, meters, commissioning and installation support) with a fixed annual software subscription sized from your verified savings. The upfront cost is typically net of utility rebates and incentive programs that Brick AI helps you access, and the first year runs with no subscription fee. Deployment starts with a first phase of sites. Once capacity and savings are verified against the agreed baseline, the deployment expands across the portfolio. PermitOS, DCIM, and data-center infrastructure engagements are structured project by project - speak with our team for specifics.