Noda

Name: Noda
Brand: Noda

We’re Hiring | Better Buildings for a Better World

Est 2018|Valuation $224.8M|Raised $150.4M

LinkedIn 12K|Web traffic 2K|FTEs 82|HQ Washington, Washington, US

MarketsEnergy Management Smart Buildings

Published Jul 15, 2026

01Common complaints

1. Organizations that require transparent, self-serve pricing and immediate procurement options. - The vendor appears to use a demo-led, enterprise-oriented sales model; organizations seeking SMB-style self-serve pricing may prefer lighter tools. 2. Organizations focused exclusively on HVAC optimization. - Specialized HVAC optimization vendors may deploy more rapidly and provide a narrower, faster time-to-value for HVAC-specific outcomes. 3. Organizations that cannot operationalize recommendations. - If onsite teams lack capacity to execute projects, the platform risks becoming a reporting layer without realized savings. 4. Organizations with strict compliance prerequisites (for example, SOC 2 Type II, HIPAA, or PCI) that require public evidence. - The vendor claims ISO 27001 compliance but does not clearly publish SOC 2 status in the reviewed public materials; require documentation during procurement. 5. Organizations that require validated third-party peer reviews specific to noda.ai before purchase. - Public review listings that use the Noda name appear to refer to unrelated payments products; request direct references from the vendor. Sources: - https://noda.ai/data-security-policy - https://www.g2.com/products/noda/reviews

Disqualifiers (poor fit)

A single small building with minimal instrumentation and no budget for meters or integration.
Organizations that only need annual ESG reporting and do not plan operational changes.

Vendor-acknowledged transition limitations

- The vendor acknowledges that during the rebrand and product consolidation period some application logins and URLs may remain unchanged for a time; this indicates platform consolidation in progress. Source: - https://help.noda.ai/infogrid/en/articles/10248426-infogrid-aquicore-and-buildings-iot-are-now-noda

Roadmap and availability

No detailed public roadmap with specific dates was found in the reviewed materials beyond general statements about integration and product development. Buyers should request a detailed roadmap as part of procurement.

Scale and performance limitations

No explicit scale limits are publicly documented. Procurement should validate:

Supported portfolio and building counts
Data ingestion rates, retention, and performance at large scale
API limits and export capabilities

02Why they buy

Notable distinguishing features described by the vendor

- Closed-loop workflow framing: identification of projects, execution workflows, and M&V in a single platform scope. - Consolidation of multiple legacy products (Infogrid, Aquicore, Buildings IOT) under a single brand, which may expand available functionality compared with single-point solutions. - API and data platform capabilities, including a GraphQL API and digital twin constructs, intended to improve data access and portability. Sources: - https://noda.ai/ - https://help.noda.ai/infogrid/en/articles/10248426-infogrid-aquicore-and-buildings-iot-are-now-noda

Where competitors may have stronger distinguishing features

- BrainBox AI: narrow and targeted HVAC optimization messaging and case coverage. - Large incumbents: broader ecosystem, services footprint, and long-term enterprise vendor relationships. Sources: - https://brainboxai.com/ - https://www.se.com/

03Field reports

Important note on review-source mismatch

Public review platforms list a product called "Noda" that appears to be a payments/open-banking solution; those listings and reviews do not correspond to noda.ai's building energy operations platform. As a result, those third-party review pages should not be used as evidence of noda.ai customer satisfaction without direct confirmation.

Vendor-published testimonials on noda.ai (building sector)

The vendor website includes customer quotes referencing energy or cost reductions and platform unification. Examples on the site reference customers in hospitality, retail, and commercial real estate.

Critical view: These are vendor-published testimonials that report perceived benefits and savings. Such testimonials provide useful signals of vendor-customer relationships, but they do not substitute for independently verified case studies or third-party peer reviews.

Trustpilot review page (appears unrelated)

A Trustpilot listing exists for an unrelated product using the Noda name and should not be conflated with the commercial-building platform.

Recommended steps to obtain customer references

Because third-party reviews specific to noda.ai were not identified in this research pass, procurement teams should request the following from the vendor:

Reference calls for similar asset types (office, hotel, retail, mall) and the same BMS stack
Pre- and post-implementation M&V reports and the methodology used
Information on how many recommended projects were executed and follow-up on persistence of savings

Vendor-published savings highlights

The vendor presents illustrative savings figures on the website.

Critical evaluation:

Headline savings figures are stated without detailed methodology in public snippets. Procurement teams should request baseline periods, weather normalization approaches, occupancy adjustments, whether savings are modeled or measured, and persistence data over multiple years.

Portfolio-level claimed outcome (testimonial)

A vendor-published testimonial references a utility reduction across properties where the platform has been deployed.

Critical evaluation:

The testimonial does not specify whether the reduction refers to site energy, cost, or a normalized metric. Buyers should request the underlying measurement approach and which interventions were responsible for the change (software recommendations vs. capital upgrades or contractor work).

04Best fit

Likely best-fit company sizes

Based on the integration requirements (BMS, metering) and vendor positioning, Noda is likely to fit mid-market to enterprise commercial real estate operators, including firms with multi-site portfolios where energy spend is material relative to operating costs.

Industries/verticals

Potential strong fits include:

Hospitality
Retail and malls
Commercial office portfolios
Mixed-use properties and campuses

Roles and personas

Decision-makers:

Head of Sustainability / ESG
VP Facilities / Building Operations
Asset management leadership
Finance (where savings are tied to NOI)

Day-to-day users:

Facilities engineers
Energy managers
Sustainability analysts and reporting teams

Qualification criteria (good fit)

Access to interval data and BMS points, or the ability to obtain such access.
Engineering capacity or service partners to implement optimization projects.
A requirement for ongoing M&V and operational governance, beyond dashboards alone.

05The pitch

What the product does (objective value proposition)

Noda is an AI-enabled energy operations platform for commercial buildings and real estate portfolios. The vendor positions it as a closed-loop system that: - Aggregates and normalizes disparate building and energy data (utility bills, interval data, meters, sensors, BMS sources) - Produces analytics, dashboards, benchmarking, and fault detection - Recommends energy optimization projects and supports execution workflows - Provides automated operations capabilities such as demand management and remote setpoint control where supported by onsite systems The platform is marketed around an "insight to action" approach and includes project identification and measurement & verification (M&V) capabilities to validate results. Key product pillars described by the vendor are: - Connect AI (data platform, integrations, digital twins, GraphQL API) - Clarify (portfolio/building performance tracking, dashboards, benchmarking, analysis, automated FDD) - Conduct (AI-recommended projects with workflow management and human expert support; ROI measurement) - Command (automation: demand management, remote setpoint adjustments, chiller plant optimization)

Target market and positioning

**Target buyers/users** appear to be: - Commercial real estate owners and operators (portfolio-level energy and carbon performance) - Property and facilities engineering teams (building-level optimization and execution) - Sustainability/ESG teams (reporting, benchmarking, decarbonization planning) - Service providers and partners: ESCOs, consultants, facilities management providers, and technology partners Noda is described as an operational layer for energy performance and decarbonization execution in commercial buildings.

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Published Jul 15, 2026

01Common complaints

Organizations that require transparent, self-serve pricing and immediate procurement options.
- The vendor appears to use a demo-led, enterprise-oriented sales model; organizations seeking SMB-style self-serve pricing may prefer lighter tools.
Organizations focused exclusively on HVAC optimization.
- Specialized HVAC optimization vendors may deploy more rapidly and provide a narrower, faster time-to-value for HVAC-specific outcomes.
Organizations that cannot operationalize recommendations.
- If onsite teams lack capacity to execute projects, the platform risks becoming a reporting layer without realized savings.
Organizations with strict compliance prerequisites (for example, SOC 2 Type II, HIPAA, or PCI) that require public evidence.
- The vendor claims ISO 27001 compliance but does not clearly publish SOC 2 status in the reviewed public materials; require documentation during procurement.
Organizations that require validated third-party peer reviews specific to noda.ai before purchase.
- Public review listings that use the Noda name appear to refer to unrelated payments products; request direct references from the vendor.

Sources:

Disqualifiers (poor fit)

A single small building with minimal instrumentation and no budget for meters or integration.
Organizations that only need annual ESG reporting and do not plan operational changes.

Vendor-acknowledged transition limitations

The vendor acknowledges that during the rebrand and product consolidation period some application logins and URLs may remain unchanged for a time; this indicates platform consolidation in progress.

Source:

https://help.noda.ai/infogrid/en/articles/10248426-infogrid-aquicore-and-buildings-iot-are-now-noda

Roadmap and availability

Scale and performance limitations

No explicit scale limits are publicly documented. Procurement should validate:

Supported portfolio and building counts
Data ingestion rates, retention, and performance at large scale
API limits and export capabilities

02Why they buy

Notable distinguishing features described by the vendor

Closed-loop workflow framing: identification of projects, execution workflows, and M&V in a single platform scope.
Consolidation of multiple legacy products (Infogrid, Aquicore, Buildings IOT) under a single brand, which may expand available functionality compared with single-point solutions.
API and data platform capabilities, including a GraphQL API and digital twin constructs, intended to improve data access and portability.

Sources:

Where competitors may have stronger distinguishing features

BrainBox AI: narrow and targeted HVAC optimization messaging and case coverage.
Large incumbents: broader ecosystem, services footprint, and long-term enterprise vendor relationships.

Sources:

03Field reports

Important note on review-source mismatch

Vendor-published testimonials on noda.ai (building sector)

Trustpilot review page (appears unrelated)

A Trustpilot listing exists for an unrelated product using the Noda name and should not be conflated with the commercial-building platform.

Recommended steps to obtain customer references

Because third-party reviews specific to noda.ai were not identified in this research pass, procurement teams should request the following from the vendor:

Reference calls for similar asset types (office, hotel, retail, mall) and the same BMS stack
Pre- and post-implementation M&V reports and the methodology used
Information on how many recommended projects were executed and follow-up on persistence of savings

Vendor-published savings highlights

The vendor presents illustrative savings figures on the website.

Critical evaluation:

Headline savings figures are stated without detailed methodology in public snippets. Procurement teams should request baseline periods, weather normalization approaches, occupancy adjustments, whether savings are modeled or measured, and persistence data over multiple years.

Portfolio-level claimed outcome (testimonial)

A vendor-published testimonial references a utility reduction across properties where the platform has been deployed.

Critical evaluation:

The testimonial does not specify whether the reduction refers to site energy, cost, or a normalized metric. Buyers should request the underlying measurement approach and which interventions were responsible for the change (software recommendations vs. capital upgrades or contractor work).

04Best fit

Likely best-fit company sizes

Industries/verticals

Potential strong fits include:

Hospitality
Retail and malls
Commercial office portfolios
Mixed-use properties and campuses

Roles and personas

Decision-makers:

Head of Sustainability / ESG
VP Facilities / Building Operations
Asset management leadership
Finance (where savings are tied to NOI)

Day-to-day users:

Facilities engineers
Energy managers
Sustainability analysts and reporting teams

Qualification criteria (good fit)

Access to interval data and BMS points, or the ability to obtain such access.
Engineering capacity or service partners to implement optimization projects.
A requirement for ongoing M&V and operational governance, beyond dashboards alone.

05The pitch

What the product does (objective value proposition)

Noda is an AI-enabled energy operations platform for commercial buildings and real estate portfolios. The vendor positions it as a closed-loop system that:

Aggregates and normalizes disparate building and energy data (utility bills, interval data, meters, sensors, BMS sources)
Produces analytics, dashboards, benchmarking, and fault detection
Recommends energy optimization projects and supports execution workflows
Provides automated operations capabilities such as demand management and remote setpoint control where supported by onsite systems

The platform is marketed around an "insight to action" approach and includes project identification and measurement & verification (M&V) capabilities to validate results.

Key product pillars described by the vendor are:

Connect AI (data platform, integrations, digital twins, GraphQL API)
Clarify (portfolio/building performance tracking, dashboards, benchmarking, analysis, automated FDD)
Conduct (AI-recommended projects with workflow management and human expert support; ROI measurement)
Command (automation: demand management, remote setpoint adjustments, chiller plant optimization)

Target market and positioning

Target buyers/users appear to be:

Commercial real estate owners and operators (portfolio-level energy and carbon performance)
Property and facilities engineering teams (building-level optimization and execution)
Sustainability/ESG teams (reporting, benchmarking, decarbonization planning)
Service providers and partners: ESCOs, consultants, facilities management providers, and technology partners

Noda is described as an operational layer for energy performance and decarbonization execution in commercial buildings.

Get a comprehensive analysis of Noda including market position, competitive landscape, adoption trends, and peer benchmarks.

Download full report →