Nantum AI
Nantum AI builds a cloud-based, AI/ML-driven building operating system (Nantum OS) that optimizes HVAC, energy, and carbon performance for commercial real estate owners, government portfolios, and enterprise tenants. The platform delivers automated occupancy-based control, fault detection, and demand response across tens of millions of square feet.
- Company typePrivate
- Founded2015
- HeadquartersNew York, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Nantum AI does
Nantum AI (founded 2015 in New York as Prescriptive Data; rebranded June 2024) develops and operates a cloud-based smart building operating system, Nantum OS, that uses proprietary AI/ML algorithms to optimize HVAC and other building systems in real time. The platform ingests data from BMS/HVAC systems, utility and submeters, occupancy sensors, IoT devices, and external datasets (weather, utilities, energy markets), then runs Automated System Optimization, Fault Detection & Diagnosis, occupancy-based HVAC control, Automated Demand Response, and predictive carbon emissions and fine modeling. Add-on modules include Nantum Workplace for enterprise tenants and Nantum Tenant, a mobile engagement app. Builds are validated by U.S. federal partners — DOE/LBNL, NREL, and GSA — and have produced peer-reviewed publications in journals such as Cell Reports Sustainability, ASME, and Building and Environment.
The company sells primarily to commercial real estate owners and operators (e.g., Rudin, Jamestown, Carr Properties, Tower Companies, Bromley) and to government and large enterprise occupants (e.g., GSA, JPMorgan Chase, KPMG, Cresa, WeWork at Jamestown properties). Revenue derives from SaaS subscriptions priced by building square footage and portfolio scope, supplemented by performance-based outcomes from automated energy savings and transaction-based revenue from demand response participation in PJM, NYISO, ISO-NE, and ERCOT markets. Go-to-market has historically been enterprise field sales, with government procurement via GSA Green Proving Ground and channel partnerships through NYSERDA's RTEM+ Tenants program; following Johnson Controls' April 2026 acquisition, distribution now flows primarily through the OpenBlue digital ecosystem and JCI's global enterprise sales force.
Pre-acquisition headcount expanded from 4 to 40 employees in 2022. Customer-reported outcomes include 10%+ energy savings (JCI-validated), 30% portfolio-wide savings at Rudin, a 150% ROI pilot at Jamestown's Waterfront Plaza, $5M demonstrated savings across Rudin's portfolio, and 70% reduction in tenant comfort complaints. The platform currently manages tens of millions of square feet of North American commercial real estate.
Nantum AI firmographics
Firmographics- Name
- Nantum AI
- Legal name
- Prescriptive Data, Inc.
- Website
- https://nantum.ai
- Company type
- Private
- Founded year
- 2015
- Operating status
- Acquired
- Headcount range
- 11–50 employees
- Short description
- Nantum AI builds a cloud-based, AI/ML-driven building operating system (Nantum OS) that optimizes HVAC, energy, and carbon performance for commercial real estate owners, government portfolios, and enterprise tenants. The platform delivers automated occupancy-based control, fault detection, and demand response across tens of millions of square feet.
- Ownership category
- akta.pro rank
Nantum AI industry classification
Industry- Product category
- Smart Building Energy Management Software
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821)
- SIC
- Services-Computer Integrated Systems Design (7373)
- akta.pro primary industry
- Smart Building Software Platforms (IWMS/CAFM Integration, Digital Twin, Command Center) (BPABAGAG)
- akta.pro secondary industries
- Smart HVAC, IAQ & Energy Optimization (HSAPAPAB), Facilities Operations, CMMS & Predictive Maintenance (IoT-enabled) (HSAPAPAI), Occupancy, Space Utilization & Workplace Experience (HSAPAPAG)
Keywords
Where Nantum AI is headquartered
LocationHeadquarters
- HQ city
- New York
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Nantum AI business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations
Revenue model
- SaaS / Subscription - Building Operating System: Nantum OS is a software-as-a-service (SaaS) technology platform. Commercial real estate owners and operators subscribe to access the cloud-based building operating system for energy optimization, sustainability management, and automated HVAC control. Revenue is recurring on a subscription basis, with pricing varying by building square footage and portfolio size.
- Energy Conservation Measures / Automation Services: AI-driven automated optimization of building systems generates ongoing value through energy cost reduction. The platform prescribes and automates real-time system adjustments that deliver measurable savings on utility costs, functioning as a performance-based outcome for building operators.
- Demand Response Revenue Generation: Automated Demand Response (ADR) capabilities enable buildings to participate in utility incentive programs, creating new revenue streams by reducing energy demand during peak periods and supporting grid reliability.
Go-to-market motion1 record
Distribution channels3 records
Marketing channels6 records
Nantum AI product offering
Product offeringCore offering
Nantum AI develops and sells Nantum OS, a cloud-based smart building operating system that uses AI/ML algorithms to optimize building HVAC systems, energy consumption, and occupant comfort in real time. The platform extracts and consolidates live data from building systems (BMS, meters, occupancy sensors, IoT devices) and external data providers to automate energy conservation, reduce carbon emissions, and enable automated demand response for commercial real estate owners, operators, and tenants.
Product overview
Nantum AI is an integrated energy platform for smart buildings, rebranded in 2024 from Prescriptive Data. The company offers a platform-plus-modules architecture centered on Nantum OS, the core smart building operating system. Nantum OS extracts and consolidates live data from building systems (BMS/HVAC, meters, occupancy sensors, IoT devices) and external data providers into a secure cloud environment, using AI/ML algorithms to optimize building operations in real-time. Add-on modules include Nantum Workplace (enterprise tenant operations optimization) and Nantum Tenant (mobile app for tenant engagement). The platform enables buildings to achieve energy targets via real-time and predictive data as well as intelligent recommendations.
Differentiator
Problem solved
Functional benefit
Products and services
- Nantum OS The primary smart building operating system that extracts and consolidates live data from building systems (BMS, HVAC, utility meters, submeters, people counting, IoT devices), external data providers, and third-party IoT solutions into a secure cloud environment. Uses AI/ML algorithms to optimize real-time operational efficiency, reduce energy costs and carbon emissions, improve tenant comfort, and improve building net-operating income for commercial real estate owners and operators.
- Nantum Workplace A solution designed for enterprise tenants looking to optimize real-time operations across their leased spaces, providing building operators and tenants with unified operational visibility and sustainability tracking.
- Nantum Tenant A mobile app that enhances the experience for all stakeholders interacting with various IT/OT systems in the modern built environment. Allows tenants to receive building notifications, access the building via mobile device, and view elevator wait times.
- Nantum AI Platform An integrated energy platform that empowers buildings with actionable insights and automation. Following the 2024 rebrand from Prescriptive Data, Nantum AI encompasses the full suite of building optimization products delivering energy savings, carbon emission reductions, and cost reductions without sacrificing occupant health or comfort.
Quantifiable outcome
- 10%+ energy savings for customers
- +10 more outcomes
Companies that use Nantum AI
Customer profileNamed customers10 records
Segments5 records
Ideal customer profiles4 records
Nantum AI technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration3 records
AI capability5 records
Feature12 records
Nantum AI partnerships and signals
Strategic signalPartnerships
13 partnerships are on record, tiered core, flagship and minor.
- Johnson ControlscoreJohnson Controls acquired Nantum AI on April 27, 2026 to strengthen its OpenBlue digital ecosystem with AI-driven HVAC optimization capabilities. The acquisition integrates Nantum's real-time occupancy-based optimization technology into Johnson Controls' OpenBlue platform, extending capabilities from water-side to include autonomous AI-driven control across both air- and water-side building applications. Johnson Controls reported 84% year-over-year growth in systems orders in fiscal Q1, driven by data center sector demand.
- VoltuscoreVoltus partnered with Nantum AI to transform commercial buildings into revenue-generating grid assets through automated demand response capabilities. The direct API integration connects Voltus's real-time market management platform with Nantum AI's building automation, enabling automated zone-specific energy adjustments (HVAC setpoint modifications, lighting dimming, equipment cycling) during grid dispatch events. Buildings can participate in ancillary services markets across PJM, NYISO, ISO-NE, and ERCOT, generating new revenue while supporting grid reliability.
- National Renewable Energy Laboratory (NREL)flagshipNREL conducted analysis of Nantum OS as part of the multi-year GSA Green Proving Ground study. NREL calculated that when scaled across the GSA's portfolio, Nantum OS' automated System Optimization capabilities could save the U.S. government $4.8M to $28.7M annually. NREL serves as the DOE's primary national laboratory for renewable energy and energy efficiency R&D.
- CleartraceminorPrescriptive Data, in partnership with Cleartrace, was selected as Market Leader for the 2022 REBNY PropTech Challenge, focused on market leadership for building operations and sustainability technology combined with carbon tracking capabilities.
- JPMorgan ChaseflagshipJPMorgan Chase began using Nantum OS as its global AI platform for real estate sustainability to optimize energy use and reduce carbon footprint across its commercial real estate properties worldwide. The platform uses AI and sensor technology to track and improve energy use, analyzing historical and real-time data from occupancy monitoring, indoor air quality sensors, thermostats, and building meters. JPMorgan Chase achieved carbon neutrality in 2020 and has targets to reduce Scope 1 and 2 GHG emissions by 40% by 2030.
- CresaminorCresa selected Prescriptive Data's Nantum OS as its partner for workplace operations and sustainability solution, providing commercial real estate tenants with AI-driven building optimization and sustainability management.
- JamestownflagshipJamestown, a global real estate investment management firm with $13.1B AUM, partnered to implement Nantum OS at Waterfront Plaza (437,800 sq ft, 5-building San Francisco campus). The partnership is part of Jamestown's commitment to reach net zero carbon emissions portfolio-wide by 2050 and achieve 150% ROI. Jamestown's Tech & Innovation Team has been deploying Nantum AI across its global portfolio as part of broader sustainability efforts.
- NYSERDAcoreNYSERDA named Prescriptive Data as a qualified vendor for its RTEM+ Tenants Incentive Program, a $25-million program promoting commercial office building energy management. Qualifying buildings can receive up to 33% cost-sharing for RTEM system implementation and services for up to three years.
- Jamestown (Sustainability Partnership)flagshipJamestown engaged Nantum AI as a thought partner for offerings and deployment at different types of buildings. Pilot at Waterfront Plaza San Francisco generated $71,000 in savings (260% ROI). The partnership helped reaffirm Jamestown's ability to meet sustainability goals in a financially sensible way. Jamestown has committed to net zero carbon emissions portfolio-wide by 2050 and adopted all 17 UN Sustainable Development Goals.
- U.S. Department of Energy / Lawrence Berkeley National Laboratory / The Tower CompaniesflagshipDOE's Building Technology Office, in collaboration with Lawrence Berkeley National Laboratory and The Tower Companies (DC premier office building owner), conducted a field validation initiative of Nantum OS technology at 1828 L St NW. LBNL evaluated energy efficiency and non-energy benefits. The Tower Companies has been a Better Buildings Challenge partner demonstrating 20%+ energy and water reduction. The validation was expected to continue into 2021 and results were published as a technical report and peer-reviewed journal publication.
- KPMGcoreKPMG selected Nantum OS for deployment as part of its patent-pending blockchain-based Climate Accounting Infrastructure (CAI) capability. This partnership integrates Nantum's building energy and emissions data with KPMG's climate accounting infrastructure to help organizations accurately measure, report, and offset greenhouse gas emissions. Prescriptive Data is one of three industry groups KPMG partnered with for this new capability.
- U.S. GSA Green Proving Ground (GPG)flagshipGSA selected Prescriptive Data as one of four finalists in its Green Proving Ground program to test Grid-Interactive Efficient Building (GEB) concepts across the GSA's national real estate portfolio. GSA manages nearly 370 million square feet of federal real estate. This was the second time Prescriptive Data was selected by GSA for testing innovative pre-commercial building technologies.
- U.S. GSA Proving GroundflagshipGSA's Proving Ground program first selected Prescriptive Data's Connected Building Operating System technology for evaluation in GSA facilities. The technology modifies heating and cooling system operations and provides real-time energy efficiency recommendations to building operators based on occupancy levels, weather conditions, and electricity consumption.
Scale indicators12 records
Recent moves7 records
Expansion highlights5 records
Nantum AI competitors and assessment
Company assessmentDirect peers
- Verdigris Technologies: Verdigris provides AI-powered energy monitoring and analytics for commercial and industrial facilities using hardware sensors and cloud-based analytics. Comparable to Nantum in the AI-driven energy analytics space, though Verdigris is more hardware-sensor-focused than Nantum's BMS integration approach.
- 75F: 75F is an IoT-based smart building automation company focused on HVAC and indoor air quality optimization using cloud computing and machine learning. Comparable to Nantum in the HVAC AI optimization niche, particularly with real-time occupancy-based controls and energy savings claims.
- KODE Labs: KODE Labs offers a smart building operating system and tenant experience platform that aggregates building data from disparate systems (BMS, IoT, meters) into a unified cloud environment. Highly comparable to Nantum OS in platform architecture and target market of large commercial real estate owners.
- GridPoint: GridPoint provides energy management and building automation solutions with a focus on real-time monitoring, analytics, and controls for commercial facilities. Comparable to Nantum in targeting multi-site commercial real estate and enterprises with energy optimization and sustainability reporting needs.
- Switch Automation: Switch Automation provides a building analytics and management platform focused on portfolio-wide operational intelligence, fault detection, and ESG reporting for commercial real estate. Comparable to Nantum in target customers (CRE owners/operators) and core capabilities around real-time building data aggregation.
- BuildingIQ: BuildingIQ (now part of ICONICS/Schneider Electric) provides AI-driven energy optimization for commercial buildings, with similar capabilities around HVAC optimization, fault detection, and predictive analytics. Both companies compete directly in the mid-to-large commercial real estate segment with cloud-based optimization platforms.
- BrainBox AI: BrainBox AI is a Montreal-based AI company specializing in autonomous HVAC optimization and predictive building analytics, directly comparable to Nantum's core capability of using AI/ML to optimize HVAC energy consumption in commercial buildings. Both target commercial real estate with autonomous building control and similar energy savings claims.
Broad incumbents
- Siemens Smart Infrastructure: Siemens Smart Infrastructure provides building automation, energy management, and digital services for commercial buildings through its Desigo CC and Navigator platforms. A broad incumbent competing with the JCI-OpenBlue-Nantum stack with comparable capabilities across BMS, analytics, and AI-driven optimization.
- Schneider Electric EcoStruxure: Schneider Electric's EcoStruxure platform offers building management, energy optimization, and sustainability solutions for commercial facilities. As a broad incumbent with the recent BuildingIQ acquisition, Schneider represents a scaled competitor to the JCI/Nantum offering across the full smart building stack.
- Honeywell Building Technologies: Honeywell Building Technologies is a broad incumbent offering BMS, HVAC controls, security, and energy management solutions globally. Comparable to Nantum's OpenBlue-integrated offering post-acquisition, but with a much broader portfolio spanning hardware, software, and services across the entire building technology stack.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
Nantum AI social profiles
Digital presenceNantum AI compliance and trust
Trust signalCompliance2 records
Nantum AI financial estimates
Financial estimateRevenue estimate
Valuation estimate
Nantum AI leadership team
Management profileNumber of profiles
Profiles4 records
Nantum AI funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Nantum AI M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Nantum AI
What does Nantum AI do?
Nantum AI develops and sells Nantum OS, a cloud-based smart building operating system that uses AI/ML algorithms to optimize building HVAC systems, energy consumption, and occupant comfort in real time. The platform extracts and consolidates live data from building systems (BMS, meters, occupancy sensors, IoT devices) and external data providers to automate energy conservation, reduce carbon emissions, and enable automated demand response for commercial real estate owners, operators, and tenants.
Is Nantum AI a public or private company?
Nantum AI is a private company. It is classified as corporate owned and is currently acquired.
When was Nantum AI founded?
Nantum AI was founded in 2015. It employs 11 to 50 people.
Where is Nantum AI based?
Nantum AI is headquartered in New York, United States, in the North America region.
How does Nantum AI make money?
Three revenue lines are on record. SaaS / Subscription - Building Operating System is the primary driver. The others are energy Conservation Measures / Automation Services and demand Response Revenue Generation.
Who are Nantum AI's main competitors?
Direct peers on record are Verdigris Technologies, 75F, KODE Labs, GridPoint, Switch Automation, BuildingIQ and BrainBox AI. Broad incumbents are Siemens Smart Infrastructure, Schneider Electric EcoStruxure and Honeywell Building Technologies.
Does Nantum AI have an API?
Yes. Nantum AI offers a building automation API that enables third-party integrations. A direct API integration with Voltus allows their real-time market management platform to connect with Nantum AI's building automation system, enabling automated dispatch signals for zone-specific energy adjustments such as HVAC setpoint modifications, lighting dimming, and equipment cycling. The API is partner-facing rather than publicly documented.
What industry is Nantum AI in?
Nantum AI's product category is Smart Building Energy Management Software. Its primary akta.pro industry code is BPABAGAG, Smart Building Software Platforms (IWMS/CAFM Integration, Digital Twin, Command Center), with a secondary code of HSAPAPAB, Smart HVAC, IAQ & Energy Optimization. Its NAICS code is 51821 and its SIC code is 7373.