Control as Code Before Construction

This shifts Phaidra from a retrofit optimizer into a design layer that can be sold before a facility even exists. In practice, that means the customer can model cooling, power, and control behavior inside a digital twin during engineering, then carry those control policies into the live site after construction. That pulls revenue earlier in the project, adds one time design work, and makes Phaidra harder to displace once the facility is operating.

• Phaidra already sells software that plugs into existing building automation and SCADA systems, watches thousands of sensor points, and adjusts valves, pumps, and fans every 5 to 10 minutes. Selling control logic in design phase means the same operating layer can be specified before hardware is installed, not only after commissioning.
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• NVIDIA is pushing Omniverse as the planning system for AI factories and data centers, with digital twins that simulate layout, cooling, and electrical systems before physical buildout. Phaidra fits into that stack as the autonomous control layer, alongside hardware and infrastructure vendors that model the facility itself.
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• This also changes the sales motion. Instead of waiting for an operations team to prove savings on an existing plant, Phaidra can sell into developers, engineers, and EPC workflows during greenfield projects, where control software can influence equipment choices, commissioning plans, and long term operating economics from day one.
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The next step is for control-as-code to become part of standard facility design for AI data centers, pharma plants, and other power constrained sites. If Phaidra keeps embedding its agents into design tools and then follows those agents into operations, it can grow from an energy savings vendor into core infrastructure software for how new facilities are built and run.