# DemandQ - AI-Enabled Demand & Energy Management Solutions > Patented AI technology that reduces peak electricity costs by 8-15% with zero CapEx and zero comfort impact for commercial facilities. DemandQ, Inc. is a Series A technology company headquartered in Wellesley, MA (888 Worcester Street, Wellesley, MA 02482). Founded with a mission to bridge the gap between commercial energy usage and grid stability, DemandQ uses intelligent queuing technology to optimize *when* equipment runs rather than *if* it runs, ensuring facilities maintain operational standards while significantly reducing peak demand costs. Core philosophy: "Smarter management, not warmer buildings." ## Company Information - **Founded:** 2012 - **Headquarters:** 888 Worcester Street, Wellesley, MA 02482 - **Stage:** Series A - **Email:** contactus@demandq.com - **Phone:** 855-693-8377 - **Website:** https://www.demandq.ai - **Patents:** US Patent #8219258B1, US Patent #12222687B2, additional pending - **Service Area:** Nationwide (ISO-NE, PJM, MISO, SPP, ERCOT) - **Copyright:** 2026 by DemandQ Inc. ## Key Metrics - 12+ years experience - $4M+ verified savings - 175,000+ kW mitigated - 7,800+ metric tons CO2 reduced - 600+ commercial sites - All results IPMVP Option C verified ## Leadership - **Jerry Ventura** - President & CTO. 25+ years enterprise software leadership. Previously Engineering Manager at Dynatrace and VP of Product Development at BEZ Systems. Priorities include transforming energy management, helping partners succeed, and delivering smarter, more sustainable managed spaces. - **Sital Khatiwada** - Director, AI Automation Engineering. Control theory expert with extensive experience in AI/ML and automation. Excels at developing and optimizing complex automated systems through rapid prototyping and research, including robust simulations for control and connectivity solutions. Diverse background spans robotics, aerospace, and building automation. - **Greg Hatfield** - Director, System Operations Engineering. Systems engineering expert specializing in performance optimization and analysis. Backgrounds in field engineering, automation, sensing, and robotics. Oversees tuning of DemandQ's system models, parameterization, and performance through sophisticated oversight processes. ## Key Differentiators 1. **Patented Technology** - US Patents 8219258B1 & 12222687B2, 12+ years of refinement 2. **Zero CapEx** - SaaS overlay on existing building automation system; no hardware, no upfront fees 3. **No Comfort Impact** - Optimizes timing of equipment operation, not whether equipment runs; temperature maintained within 1F 4. **AI-Driven** - Predictive precooling, genetic algorithm demand forecasting, predictive analytics, continuous self-learning models 5. **IPMVP-Compliant** - Transparent, standards-based savings verification using IPMVP Option C methodology 6. **Flexible Deployment** - Cloud-hosted or on-premises options including air-gapped networks 7. **Rapid Onboarding** - Operational in as little as one month with seamless BAS integration --- ## Services ### Intelligent Demand Optimization (IDO) **URL:** https://www.demandq.ai/services/intelligent-demand-optimization/ Core AI-driven peak demand mitigation service using patented queuing technology. **Key Stats:** - 8-15% average demand reduction - 3-5% average energy reduction - <1F temperature deviation - $0 capital expenditure **How It Works:** 1. Continuous load monitoring of HVAC and electrical systems 2. AI demand forecasting using genetic algorithm models 3. Intelligent queue assignment staggers equipment startups 4. Comfort verification ensures temperature stays within limits 5. Verified savings reporting using IPMVP Option C methodology **Technology:** Patented queuing prevents coincident demand peaks by distributing HVAC restarts across time rather than concentrating them into a single interval. The algorithm evaluates each unit's need (zone temperature, rate of change, occupancy, time remaining) and sequences startups so total demand stays within a controlled envelope. Does not prevent equipment from running - only controls WHEN it runs. Total thermal work is identical; only timing changes. **Deployment Requirements:** BACnet/Modbus/Niagara protocol support, real-time meter data, controllable HVAC, network connectivity, staff orientation. --- ### Automated Demand Response (ADR) **URL:** https://www.demandq.ai/services/automated-demand-response/ Intelligent precooling via predictive modeling with guaranteed curtailment compliance and post-event peak prevention. **Key Stats:** - 100%+ curtailment delivery - Sites of all sizes supported (even small sites that traditional DR excludes) - $0 net loss vs traditional DR - Full DR revenue capture **How It Works:** 1. Event notification received from grid operator 2. Predictive precooling initiated before event window 3. During event: guaranteed curtailment using IDO queuing while maintaining comfort 4. Post-event recovery: managed staggered restart prevents rebound peak 5. Revenue verification and IPMVP-compliant reporting **The Problem with Traditional DR:** Manual processes fail with missed curtailments, insufficient delivery, post-event rebound peaks (sometimes larger than normal peaks), comfort complaints, and net revenue losses. A typical scenario: $650 DR payment minus $2,250 post-event demand charge spike = -$1,600 net loss. **DemandQ ADR Solution:** Automated end-to-end participation with predictive precooling eliminates post-event peaks. Enables small sites (as low as 10 kW) to participate in programs typically requiring 100-500 kW minimum. RTD Hub provides automated dispatch connectivity. --- ### Price Mitigation **URL:** https://www.demandq.ai/services/price-mitigation/ Real-time energy market monitoring with automated curtailment during wholesale price spikes. **Key Stats:** - 8-second curtailment response time - 24/7 real-time market monitoring - ERCOT certified participant - Configurable strike prices per facility **How It Works:** 1. Continuous market price feed (live LMP ingestion) 2. Strike price threshold crossed triggers alert 3. 8-second curtailment activation using IDO queuing (maintains comfort) 4. Equipment health tracking prevents over-cycling 5. Price recovery and event reporting with avoided costs documented **Market Context:** Deregulated energy markets can spike from $30-50/MWh to $5,000/MWh within minutes. Example: 500 kW facility during a 4-hour extreme price event at $5,000/MWh faces ~$10,000 in charges vs $60 at normal prices. Manual human response is too slow - DemandQ responds in 8 seconds. **Supported Markets:** ERCOT (most volatile in North America), with capability across New England (ISO-NE), PJM, MISO, and SPP. --- ### DERMS / DemandMaster **URL:** https://www.demandq.ai/services/derms-demandmaster/ Distributed energy resource management and Virtual Power Plant (VPP) aggregation across hundreds of sites. **Key Stats:** - Hundreds of sites aggregated into coordinated VPP - Real-time grid signal integration - White-label available (DemandSmart) - Full API access - Sub-second signal delivery **Three Products in One Ecosystem:** 1. **DemandMaster** (For program operators, utilities, aggregators): Multi-site portfolio management, geographic/zone-based targeting, configurable strike prices and schedules, real-time monitoring dashboard, full API, IPMVP performance reporting. 2. **DemandSmart** (White-label for partners): Full white-label branding of DemandMaster, complete functionality, partner-managed portal, co-branded M&V reports, dedicated support, revenue sharing. 3. **RTD Hub - Real-Time Demand Hub** (Ecosystem backbone): Sub-second signal delivery between ISOs/utilities/aggregators and end-user sites, encrypted dispatch, redundant communication paths, audit logging. **How It Works:** 1. Portfolio onboarding - sites enrolled via RTD Hub 2. Rule configuration - zones, schedules, strike prices 3. Signal receipt and dispatch - curtailment commands via RTD Hub 4. Real-time monitoring - operators see live site status 5. Program performance reporting - IPMVP-compliant, compliance-ready --- ### Flexible Deployment **URL:** https://www.demandq.ai/services/flexible-deployment/ Cloud-hosted or on-premises options to match infrastructure, compliance, and data sovereignty requirements. **Three Deployment Tiers:** 1. **DR Event Optimizer** (Entry-level): Automated DR participation, predictive precooling, IPMVP reporting, BACnet/EZConnect integration, managed cloud. Best for organizations entering DR programs for the first time. 2. **IDO Cloud** (Most Popular): Everything in DR Event Optimizer plus continuous peak optimization (8-15%), real-time price mitigation (8-sec response), full API, real-time dashboard. Scales to hundreds of sites. Best for multi-site enterprises seeking comprehensive demand management without IT complexity. 3. **IDO On-Premises** (Complete Control): Everything in IDO Cloud plus all data stays in-network, air-gapped network compatible, on-premises hardware or private cloud, custom integration and support, full audit capability. Best for government, defense, healthcare, financial, and regulated industries. --- ## Products | Product | Description | Target User | |---------|-------------|-------------| | **DemandMaster** | Control portal, API, and reporting system for program operators. Configures curtailment rules and strike prices, sends signals through RTD Hub. | Aggregators, suppliers, utilities | | **DemandSmart** | White-label version of DemandQ's platform for partners. Full branding control, partner-managed portal. | Partners, resellers | | **RTD Hub** | Real-time Demand Hub connecting suppliers, aggregators, ISOs, and utilities with end-user sites. Sub-second signal delivery. | Ecosystem platform | | **EZConnect** | Integration toolkit including JACE plug-in (for Niagara systems) and BACnet modules. Free toolkit. | Building automation integrators | | **Maxwell** | AI-powered utility bill analyzer providing fast, accurate bill analysis with actionable savings insights. | Facility managers, energy managers | --- ## Maxwell AI **URL:** https://www.demandq.ai/maxwell/ DemandQ's intelligent AI utility and performance analyzer. Upload a utility bill and get instant data-driven savings insights. **Four Pillars:** 1. **Rapid Precision** - Fast, high-accuracy utility bill analysis in seconds 2. **Actionable Savings Insights** - Pinpoints hidden inefficiencies, translates rate structures into clear recommendations 3. **Verified Intelligence** - Anchored in real data (no AI hallucinations), every insight traceable to actual bill line items 4. **The DemandQ Advantage** - Shows how DemandQ technology sustains and amplifies savings identified No signup required. Access at https://max.demandq.ai/ --- ## Case Studies All metrics independently verified using IPMVP Option C methodology. No customer names disclosed per contractual obligations - referenced by industry vertical only. ### Large Retail Chain - 600+ Locations **URL:** https://www.demandq.ai/case-studies/large-retail-chain/ - **$4.0M** total verified savings - **$2.8M** demand savings (kW charge reduction) - **$1.2M** energy savings (kWh consumption reduction) - **175,000 kW** peak demand mitigated - **7,800 metric tons** CO2 reduced - **10%** average demand reduction across full portfolio **Challenge:** Demand charges represented ~40% of monthly utility spend. During warm weather, dozens of HVAC units restarted simultaneously creating coincident peaks. No active demand management across 600+ locations in multiple utility territories. Corporate sustainability goals required verifiable CO2 reduction. **Solution:** Predictive demand analytics using genetic algorithm forecasting. Patented queuing technology staggers HVAC restarts. Comfort safeguards maintain within 1F. Centralized dashboard provides real-time performance across all locations. **Verification:** IPMVP Option C with regression analysis. Two testing protocols: two-month inactive/active study and day on/day off alternating testing. --- ### National Retailer - 461 Sites **URL:** https://www.demandq.ai/case-studies/national-retailer/ - **$3.1M** total verified savings - **461** sites enrolled - **8.2%** overall demand reduction - **17%** HVAC demand reduction - **4%** kWh energy reduction - Portfolio expansion continues **Challenge:** Demand charges consumed 40% of energy spend with no active management. Simultaneous HVAC restarts after setback/outage created "energy stampede" peaks. **Solution:** BAS-native integration with existing building automation. Real-time demand monitoring with immediate algorithm activation. HVAC-focused optimization delivering 17% HVAC demand reduction. Portfolio-level IPMVP reporting. --- ### Nationwide Banking Institution **URL:** https://www.demandq.ai/case-studies/nationwide-banking/ - **11%+** energy cost savings - **Improved** temperature management (tighter control than previous system) - **Active** HVAC fault detection - **Additional** savings from proactive equipment repairs **Challenge:** Rising operational costs with utility rate hikes. Carbon reduction commitments required verifiable Scope 2 emissions data. Customer comfort non-negotiable in bank branches. **Solution:** IDO demand optimization with strict comfort enforcement. Continuous HVAC health monitoring surfaced equipment anomalies before failures (malfunctioning sensors, stuck dampers, refrigerant anomalies). Real-time energy performance across branch network. --- ### Telecommunications Provider - Mobility Sites **URL:** https://www.demandq.ai/case-studies/telecommunications/ - **24%** demand reduction - **12%** total bill cost reduction - **4%** kWh energy reduction - **4%** CO2 reduction - **Zero** equipment reliability incidents **Challenge:** Mobility sites consume 15x more energy per square foot than typical office buildings. Network equipment reliability is inviolable - solutions risking overheating are unacceptable. **Solution:** Equipment-aware optimization configured with thermal operating parameters of network equipment. Continuous persistent demand reduction (not event-based). Cooling system coordination prevents simultaneous restarts. --- ### Quick-Serve Restaurant Chain **URL:** https://www.demandq.ai/case-studies/quick-serve-restaurants/ - **10%+** monthly bill reduction (consistent month-over-month) - **$920/yr** kWh savings per site - **$640/yr** kW savings per site - **$1,560** total annual savings per site - **Within 1F** temperature maintained - **Active** HVAC fault detection **Portfolio Scale:** 500-location chain: $1,560/site x 500 = $780,000 annual portfolio savings. **Challenge:** Restaurants are energy-intensive per square foot with tight margins. Zero tolerance for comfort compromise (guest comfort + food safety non-negotiable). Hundreds of locations require centrally managed solution. **Solution:** Strict 1F comfort guardrail. Software overlay on existing HVAC/BAS with zero capital expenditure. HVAC fault detection for proactive maintenance. --- ### University EV Fleet - Campus Charging **URL:** https://www.demandq.ai/case-studies/university-ev-fleet/ - **37%** demand reduction for EV charging operations - **OCPP** native integration (industry-standard protocol) - **Zero** charging access restrictions - **100%** fleet availability maintained **Challenge:** Fleet vehicles return end-of-shift and plug in within brief window. Each charger draws 7-19 kW+. Simultaneous sessions create massive demand spikes. Restricting charging compromises fleet operations. **Solution:** OCPP native integration with existing EVSE infrastructure. Intelligent charging coordination smooths aggregate demand curve. Fleet readiness preservation ensures dispatch-needed vehicles prioritized. Real-time demand monitoring adjusts session parameters to prevent spikes. **Broader applicability:** Corporate campuses, municipalities, logistics operators, healthcare systems - any fleet electrification using OCPP-standard chargers. --- ## DemandLab - Knowledge Base **URL:** https://www.demandq.ai/demandlab/ Educational resource hub with 7 in-depth articles (56+ minutes of reading) covering energy management concepts. Free to access, written by energy engineers for energy decision-makers. ### Understanding Electrical Energy **URL:** https://www.demandq.ai/demandlab/understanding-electrical-energy/ **Reading Time:** 8 minutes Covers foundational electrical concepts: charge, voltage, current, power (kW), and energy (kWh). Explains why both kW and kWh appear on commercial utility bills. Key insight: demand charges (based on kW) represent 30-50% of typical commercial electricity bills, yet a single coincident peak lasting just 15 minutes can set demand charges for a full 12 months. **Key concepts:** kW (rate of consumption, like a speedometer) vs kWh (total consumed, like an odometer). Power ranges from 0.01 kW (LED fixture) to 200-1,000 kW (mid-size commercial building). --- ### Understanding Electric Demand **URL:** https://www.demandq.ai/demandlab/understanding-electric-demand/ **Reading Time:** 8 minutes Explains the critical difference between energy consumption and electric demand. Two buildings with identical 10,000 kWh monthly consumption can face vastly different demand charges based on their peak 15-minute interval. Covers demand charge calculation, coincident peaks (the HVAC problem where 40-60% of building energy comes from HVAC), grid perspective (ISO reserve margins), and climate perspective (peak demand triggers inefficient peaker plants). **Key formula:** Demand Charge = Peak 15-min kW x Demand Rate ($/kW). Typical rates: $8-$25/kW/month. --- ### Exploring HVAC RTU Systems **URL:** https://www.demandq.ai/demandlab/hvac-rtu-systems/ **Reading Time:** 8 minutes Explains rooftop units (RTUs) - the dominant HVAC solution for 1,000-50,000 sq ft commercial buildings. Covers key components (compressor at 70-85% of power, condenser fan, supply fan, economizer, controls). Details the "energy stampede" problem: 20 RTU units all starting simultaneously can spike demand from 150-200 kW to 300-400 kW in a 15-20 minute window. Traditional solutions (VFDs at $2,000-$8,000/unit, equipment replacement at $8,000-$20,000/unit) require massive CapEx. **DemandQ's approach:** Intelligent queuing distributes startups across time. Units furthest from setpoint start first, closer units delayed. Total thermal work identical; only timing changes. --- ### Decoding Your Electric Utility Bill **URL:** https://www.demandq.ai/demandlab/decoding-your-utility-bill/ **Reading Time:** 9 minutes Comprehensive guide to commercial utility bill components: energy charges (kWh-based, $0.05-$0.20+/kWh), demand charges (kW-based, $8-$25/kW/month, 30-50% of bill), ratchet clauses (minimum billable demand at 50-90% of highest peak over 6-12 months), capacity and ancillary service charges, transmission and distribution charges, taxes and fees. **Key insight on ratchet clauses:** A single 1,000 kW summer peak with 80% ratchet at $15/kW = $12,000/month minimum for 12 months = $144,000 annual ratchet exposure from one event. --- ### Navigating the Electric Energy Market **URL:** https://www.demandq.ai/demandlab/electric-energy-markets/ **Reading Time:** 7 minutes Explains how electricity markets work (day-ahead, real-time/spot, forward/bilateral markets), regulated vs deregulated markets, long-term contracts vs real-time pricing, causes of market volatility (extreme weather, generation outages, fuel supply disruptions, transmission constraints), and impact on commercial buyers. **Key stat:** Normal wholesale prices: $25-75/MWh. Extreme event prices: $1,000s/MWh (100x+ normal). Manual response is impractical during fast-moving price spikes. --- ### Understanding Demand Response **URL:** https://www.demandq.ai/demandlab/demand-response-explained/ **Reading Time:** 8 minutes Covers demand response program types (emergency DR, economic DR, capacity market DR, ancillary services DR), problems with traditional DR (missed curtailments, insufficient delivery, post-event rebound peaks, comfort complaints, net revenue losses), and why small sites are historically excluded (typical 100-500 kW minimums vs 30-80 kW for typical commercial buildings). **The math problem:** Traditional DR scenario: $650 payment - $2,250 post-event demand charge = -$1,600 net loss. DemandQ ADR eliminates this through predictive precooling and managed post-event recovery. --- ### Building a Resilient Grid with DERMS, VPPs & Flexible Loads **URL:** https://www.demandq.ai/demandlab/derms-vpps-grid-resilience/ **Reading Time:** 7 minutes Explains DERMS (software platform for coordinating distributed energy resources), flexible loads (electricity consumption that can time-shift without compromising function), and Virtual Power Plants (aggregation of distributed resources into single market participant). Commercial buildings consume 36% of US electricity - even modest controllability creates a grid resource equivalent to hundreds of power plants with zero new generation infrastructure. **VPP benefits:** Peak demand reduction, emergency capacity, renewable integration, geographic distribution for resilience. --- ## Glossary **URL:** https://www.demandq.ai/glossary/ Plain-language definitions of 14+ energy management terms including: ADR, BACnet, BAS, Coincident Peak, Demand Charge, DERMS, IDO, IPMVP, kW, kWh, Price Mitigation, Queuing Technology, Ratchet Clause, RTU, VPP. --- ## Partnership Programs **URL:** https://www.demandq.ai/partners/ Three partnership models: 1. **Reseller Program** (Most Popular): For ESCOs, BAS integrators, facility management companies, DR aggregators. Competitive pricing, co-branded materials, technical training, partner success management. 2. **White Label Partners** (DemandSmart): For strategic partners building complete solutions. Full white-label branding, custom interface, partner-controlled onboarding, DemandMaster access, white-label M&V. 3. **EZConnect Integration** (Free Toolkit): For building automation integrators. Free JACE plug-in for Niagara systems, BACnet modules, standard protocol compatibility, enables deployments as fast as one month. **Partner Benefits:** 1-month typical onboarding, free EZConnect toolkit, IPMVP compliance built-in, full API access, operations portal. --- ## EZConnect **URL:** https://www.demandq.ai/ezconnect/ Integration toolkit for building automation professionals. Download request form (not direct download) submits to contactus@demandq.com. --- ## Target Audiences **Primary:** 1. VP/Director of Facilities / Energy Manager - Multi-site commercial operations 2. C-Suite (CFO/COO/CSO) - Seeking CapEx-free cost reduction and sustainability metrics 3. Utilities & Grid Operators - Seeking demand-side management and DERMS capabilities 4. Energy Service Companies / DR Aggregators - Seeking white-label or reseller partnerships 5. Building Automation Integrators - Seeking software overlay products **Secondary:** 6. Sustainability Officers - Corporate ESG goal alignment, Scope 2 emissions reduction 7. Commercial Real Estate Developers/Owners - Reducing tenant operating costs 8. Government/Municipal Facilities Managers - Public building energy cost reduction --- ## Measurement & Verification DemandQ uses IPMVP Option C (whole-facility) methodology - the gold standard for energy savings verification. **Testing Protocols:** - **Day On/Day Off:** Alternating active and inactive days within same billing period for intra-period comparison - **Two-Month Studies:** Full inactive month (baseline) followed by full active month (performance), with weather and occupancy normalization All results are transparent, auditable, and suitable for corporate sustainability reporting, Scope 2 emissions disclosures, and regulatory compliance. --- ## Patents & Publications - **US Patent #8219258B1:** "Queuing Access to a Shared Power Supply" - Foundational patent for intelligent queuing technology - **US Patent #12222687B2:** "Controlling Power Distribution Serving an Aggregate of Electrical Loads Behind a Meter" - Power distribution optimization for aggregate loads - **ASHRAE Peer-Reviewed Publication:** Innovative Automated Demand Response methodology paper --- ## Site Map - Home: https://www.demandq.ai/ - Services Overview: https://www.demandq.ai/services/ - Intelligent Demand Optimization: https://www.demandq.ai/services/intelligent-demand-optimization/ - Automated Demand Response: https://www.demandq.ai/services/automated-demand-response/ - Price Mitigation: https://www.demandq.ai/services/price-mitigation/ - DERMS / DemandMaster: https://www.demandq.ai/services/derms-demandmaster/ - Flexible Deployment: https://www.demandq.ai/services/flexible-deployment/ - DemandLab: https://www.demandq.ai/demandlab/ - Understanding Electrical Energy: https://www.demandq.ai/demandlab/understanding-electrical-energy/ - Understanding Electric Demand: https://www.demandq.ai/demandlab/understanding-electric-demand/ - HVAC RTU Systems: https://www.demandq.ai/demandlab/hvac-rtu-systems/ - Decoding Your Utility Bill: https://www.demandq.ai/demandlab/decoding-your-utility-bill/ - Electric Energy Markets: https://www.demandq.ai/demandlab/electric-energy-markets/ - Demand Response Explained: https://www.demandq.ai/demandlab/demand-response-explained/ - DERMS, VPPs & Grid Resilience: https://www.demandq.ai/demandlab/derms-vpps-grid-resilience/ - Case Studies: https://www.demandq.ai/case-studies/ - Large Retail Chain: https://www.demandq.ai/case-studies/large-retail-chain/ - National Retailer: https://www.demandq.ai/case-studies/national-retailer/ - Nationwide Banking: https://www.demandq.ai/case-studies/nationwide-banking/ - Telecommunications: https://www.demandq.ai/case-studies/telecommunications/ - Quick-Serve Restaurants: https://www.demandq.ai/case-studies/quick-serve-restaurants/ - University EV Fleet: https://www.demandq.ai/case-studies/university-ev-fleet/ - Partners: https://www.demandq.ai/partners/ - About: https://www.demandq.ai/about/ - Contact / Request Demo: https://www.demandq.ai/contact/ - Maxwell AI: https://www.demandq.ai/maxwell/ - EZConnect: https://www.demandq.ai/ezconnect/ - Glossary: https://www.demandq.ai/glossary/ --- (c) 2026 by DemandQ Inc.