Noda

The name and the company both changed, and the brief did not have this. Aquicore has not shut down, but it no longer exists as a brand. aquicore.com returns an HTTP 301 permanent redirect to noda.ai, which was observed directly in this research pass, and a company profile states that Aquicore is now Noda. Transaction records show Aquicore was acquired by Infogrid in November 2022, having itself acquired Entic in 2019. The Noda site makes no mention of Aquicore or Infogrid anywhere, so the rebrand date and the current corporate structure cannot be established from vendor material. The product is live and actively marketed; the lineage is just undocumented by the vendor.

Noda presents itself as an agentic artificial intelligence platform for commercial building operations, and the architecture it publishes is coherent rather than buzzword driven. An Independent Data Layer provides a normalised data model for every building. An Intelligence Layer runs AI agents that diagnose problems and scope the work. A Command Center presents a ranked, prioritised worklist. The Noda Assistant answers plain language questions about the buildings with linked evidence, which is a meaningful design choice: citing the evidence behind an AI answer is what separates a usable operations tool from a plausible sounding one. Automated Demand Management sheds or shifts demand in response to utility signals or operating conditions, which makes this one of only two products in this category, alongside GridPoint, that actually acts on load rather than only reporting it.

The distinctive functional claim is that Noda analyses building management system trend data, meter data and weather, detects faults, traces them to root causes, and then packages the worthwhile fixes as Projects with estimated savings for engineers to review. That last step is the difference from a conventional fault detection platform: it is not producing a fault list, it is producing a reviewable scope of work with a number attached. Integration is unusually well published for this category: a LaunchPad gateway for building management system and equipment connections, a GraphQL application programming interface, and a Model Context Protocol server for AI tools. The MCP server is forward looking and genuinely rare.

What Noda is not. It is not a utility bill management system: no invoice capture, validation or cost allocation is described. It is not an ESG or carbon disclosure suite; no emissions accounting, scope structure or framework reporting appears. It is not a portfolio benchmarking tool. It is not a power quality monitoring product. It reads meter data but it is not a metering platform in the sense of installing and managing a submeter estate. Buyers with financial or disclosure requirements should pair it with another product.

Noda fits commercial real estate owners and operators with building management systems already producing trend data, and with engineering teams who will act on a scoped project rather than just read a dashboard. Office portfolios, institutional owners and operators with central plant and a capital planning process are the natural audience, inheriting Aquicore commercial real estate customer base. The packaging of findings as costed Projects suits organisations where energy work has to be justified to an asset manager or a capital committee, because the output is already in the format that conversation needs. The automated demand management capability adds value where the utility has demand charges or dynamic signals worth responding to.

The published GraphQL application programming interface and the MCP server make it a strong choice for organisations that want to query building data from their own tools or from an AI assistant, which is a forward looking capability almost nothing else in this category offers.

It is a poor fit for buildings with no building management system or no trend data, since the platform depends on that input. It is a poor fit where the requirement is utility bill management, carbon disclosure or benchmarking. It is a poor fit for buyers who need a settled, well documented vendor history, because the Aquicore to Infogrid to Noda sequence is undocumented on the vendor site and the current corporate ownership could not be verified: that is a reasonable due diligence question to put directly to the company, along with what happened to Aquicore contracts and historical data. Buyers should also treat the published customer average Year 1 return of 250 to 350 percent as a vendor claim rather than evidence, and should establish pricing early, since the site links to a Pricing page but shows no figures. Anyone who ran Aquicore should get written confirmation of data continuity and contract terms under the new brand.