Vendor list · AI for energy & utilities
AI for energy and utilities, scored on the published rubric.
How we score
Four stages, evidence-graded throughout.
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Inclusion criteria
Public pricing. Integrations doc. Ten or more customers. Self-serve path.
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Weighted rubric
Each dimension scored zero to four. Every cell tagged MEASURED, CITED, or ESTIMATED.
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Total score
Weighted sum out of one hundred. Seven-day right-of-reply window before publishing.
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Ranked and published
Updated when new vendors qualify or when fact-check replies land corrections.
This cohort's rubric
- Grid + DER orchestration20%
- Utility customer engagement + billing15%
- Energy data analytics + forecasting12%
- Ease of data integration + accuracy25%
- Asset performance + grid reliability10%
- Regulatory, security + grid compliance8%
- Cost economics + time-to-value10%
Inclusion criteria
- Grid & DER orchestration: DERMS, demand response, virtual power plants, flexibility, and real-time grid-edge optimization.
- Utility customer engagement & billing: digital customer experience, billing / rate design / CIS, energy-efficiency programs, and marketplaces.
- Energy data & forecasting: meter / AMI data analytics, load disaggregation, consumption analytics, and demand / DER forecasting.
- Asset performance & reliability: renewable and grid asset performance management, predictive maintenance, and grid measurement / monitoring.
- Regulatory, security & compliance: NERC CIP, SOC 2 / ISO 27001, utility cybersecurity, and energy-data privacy posture.
This vendor set is deliberately broad: a customer-billing platform does not orchestrate the grid edge, and a grid-measurement vendor does not run utility billing. Each vendor is scored on its actual coverage of every dimension - a dimension a vendor's product category structurally does not address scores zero, not a penalty for missing evidence.
A quick read on the top of the rubric. Each card links into the full scorecard in the next tab.
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01 Kraken Technologies Utility operating system for customer management, billing, and flexibility. Cross-industry 74 /100
Top strength Utility customer engagement + billing (top strength, 4/4): an end-to-end CIS/billing platform with meter-to-bill linkage and named multi-million-customer deployments (EDF, E.ON), managing 90m+ accounts across 15+ countries. Ease of data integration + accuracy (3/4) adds open APIs and a 100% successful-migration track record.
Top gap Energy data analytics + forecasting (2/4, no explicit ML load forecasting) and regulatory/security/compliance (2/4, vulnerability-disclosure process but no named certifications) are thin. Enumerated AMI/MDM/SCADA connectors are unconfirmed, and pricing is quote-only.
Best for Utilities seeking a single-platform replacement for customer management, billing, and flexibility orchestration with proven multi-million-customer migrations.
02 Uplight AI platform for customer engagement and flexibility management. Cross-industry 68 /100
Top strength Ease of data integration + accuracy (top strength, 3/4): open standards and third-party APIs including OpenADR, SunSpec, DNP3, Modbus, MQTT, and Green Button via UtilityAPI. Grid + DER orchestration (3/4) covers demand response and VPPs with 8.5 GW of flexible load under management and 97% event-forecast accuracy.
Top gap Asset performance + grid reliability is partial (2/4, DER monitoring but no generation APM) and cost economics + time-to-value is quote-only (2/4). Core utility billing/CIS is out of scope, and founding date, HQ, and funding figures are undisclosed.
Best for Utilities seeking combined customer engagement, rates programs, demand response, and VPP orchestration at multi-GW scale.
03 SEW.AI Vertical AI platform for utility customer experience and billing. Cross-industry 66 /100
Top strength Utility customer engagement + billing (top strength, 4/4): end-to-end CX, billing/payments, program management, and marketplace sold to 470+ utility providers reaching 1.4B+ people across 47+ countries. Ease of data integration + accuracy (3/4) adds pre-built Integration-as-a-Service across CIS/billing/grid/field categories.
Top gap Grid + DER orchestration (2/4, program-level DER and DR but no real-time dispatch), energy data analytics + forecasting (2/4), and asset performance + grid reliability (2/4) are tile-level claims without depth. Named connectors and protocols are unconfirmed (/integrations 404'd), and pricing is quote-only.
Best for Utilities seeking an end-to-end customer-engagement and billing platform with adjacent grid and workforce modules.
04 C3.ai Enterprise AI for grid predictive maintenance and AMI-scale analytics. Cross-industry 59 /100
Top strength Asset performance + grid reliability (top strength, 4/4): enterprise AI for grid predictive maintenance at a Fortune 500 US utility, plus AMI analytics across 5M+ smart meters. Energy data analytics + forecasting (3/4) and ease of data integration + accuracy (3/4) layer on the platform's connector breadth.
Top gap Grid + DER orchestration is weak (1/4, grid monitoring and ERCOT visibility, not DERMS/DR/VPP dispatch). Utility customer engagement + billing is a single analytics module (2/4), not a CIS/billing platform, and pricing is quote-only.
Best for Large utilities seeking predictive maintenance on grid assets and AMI-scale analytics layered on an enterprise AI platform.
05 Arcadia Enterprise utility-data platform for bill management and tariff intelligence. Cross-industry 57 /100
Top strength Ease of data integration + accuracy (top strength, 4/4): a foundational data layer that consolidates thousands of providers across 90+ countries using AI to standardize inputs, fill gaps, and reconcile anomalies, backed by a 30,000+ tariff database with 75K+ monthly updates. Energy data analytics + forecasting (4/4) adds 15-minute interval data and cost forecasting.
Top gap Grid + DER orchestration (0/4) and asset performance + grid reliability (0/4) are structural absences. Regulatory/security/compliance is partial (2/4, certifications belong to AWS infrastructure rather than Arcadia itself), pricing is quote-only, and HQ, funding, and headcount are undisclosed.
Best for Fortune 2000 enterprises seeking automated utility-bill management, tariff optimization, and energy-procurement advisory across multi-site global operations.
06 EnergyHub Edge DERMS and VPP orchestration for utility programs. Cross-industry 54 /100
Top strength Grid + DER orchestration (top strength, 4/4): the Edge DERMS uses machine learning to recommend optimized dispatch schedules across devices, with named utility programs (National Grid, Ontario IESO, Austin Energy, APS) and a >100,000-home VPP enrollment in six months. Ease of data integration + accuracy (3/4) reflects a large DER/OEM ecosystem.
Top gap Utility customer engagement + billing is a structural absence (0/4, no CIS/billing/rate-design scope) and asset performance + grid reliability is likewise out of category (0/4). Regulatory/security/compliance is undisclosed, named utility-system connectors are unconfirmed, and pricing is quote-only.
Best for Utilities seeking scaled VPP and DERMS programs across thermostats, EVs, batteries, and C&I load with measurable grid-flexibility outcomes.
07 Bidgely AMI meter-data disaggregation for utility customer engagement. Cross-industry 53 /100
Top strength Energy data analytics + forecasting (top strength, 4/4): patented AMI smart-meter disaggregation at scale, with 38M+ meters analyzed and 1TB of data processed daily across 50+ utility deployments. Customer engagement + billing (3/4) adds rate targeting and DSM with named utilities (APS, FortisBC).
Top gap Asset performance + grid reliability is a structural absence (0/4, load-side transformer prediction only, no generation/renewable APM) and regulatory/security/compliance is undisclosed (no security or trust page surfaced). Grid + DER orchestration is planning/targeting only (2/4, no real-time dispatch engine), and pricing is quote-only.
Best for Utilities seeking AMI disaggregation for customer engagement, rate targeting, and transformer-load planning at multi-million-home scale.
08 Kaluza Energy intelligence platform for DER flexibility and meter-to-cash. Cross-industry 52 /100
Top strength Grid + DER orchestration (top strength, 3/4): flexibility orchestration and DER aggregation across EVs, solar, batteries, and heat pumps with V2X and behavioural demand response. Utility customer engagement + billing (3/4) adds end-to-end meter-to-cash via Customer Care, Commerce, and Billing & Payments modules for named retailers (AGL, OVO).
Top gap Asset performance + grid reliability is a structural absence (0/4). Ease of data integration + accuracy is thinly evidenced (2/4, 400+ integrations claimed but no enumerated AMI/MDM/CIS/SCADA connectors), regulatory/security/compliance is low (1/4, no SOC 2 or ISO 27001 evidence), and pricing is quote-only.
Best for Energy retailers and utilities seeking a single platform for DER flexibility orchestration alongside billing, tariff design, and customer care.
09 Voltus Virtual power plant operator across North American wholesale markets. Cross-industry 49 /100
Top strength Grid + DER orchestration (top strength, 4/4): supports all nine North American wholesale power markets with 8.5 GW of DERs, 35,000+ dispatches, 22,000+ participating sites, and $200M+ paid to customers. Energy data analytics + forecasting (3/4) adds an AI Adjuster that predicts real-time customer load flexibility.
Top gap Utility customer engagement + billing (0/4) and asset performance + grid reliability (0/4) are structural absences. Regulatory/security/compliance is thin (1/4, anchored by a former FERC Chairman but no certifications), integration centers on market APIs and OEM devices rather than the utility stack (2/4), and pricing is quote-only.
Best for Utilities and grid operators seeking VPP and demand-response orchestration across wholesale markets, plus C&I users monetizing flexible load.
10 AspenTech Industrial historian, APM, and Digital Grid Management for utilities. Cross-industry 47 /100
Top strength Ease of data integration + accuracy (top strength, 3/4): the Aspen InfoPlus.21 historian ingests DCS/SCADA/PLC, ERP, MES and LIMS data over OPC/ODBC/REST, with a 23-year DuPont migration. Asset performance + grid reliability (3/4) adds AI predictive maintenance at named energy operators such as Cameron LNG.
Top gap Utility customer engagement + billing is a structural absence (0/4, no CIS, billing or rate-design). Grid + DER orchestration is network-model management, not DER dispatch (2/4), and regulatory/security/compliance is [UNKNOWN] (no security or trust page surfaced).
Best for Large process-energy operators and transmission utilities needing historian-scale OT integration and predictive asset maintenance.
11 Power Factors Renewable asset performance and SCADA control for wind, solar, and storage. Cross-industry 46 /100
Top strength Asset performance + grid reliability (top strength, 4/4): the Unity APM suite connects asset health, analytics, and field execution with predictive analytics, trained on operational data from 310+ GW of assets across 600+ enterprise customers in 70+ countries. Energy data analytics + forecasting (3/4) adds real-time generation forecasts.
Top gap Utility customer engagement + billing is a structural absence (0/4, serves asset owners/operators only). Grid orchestration is plant-level EMS/PPC rather than utility DERMS (2/4), integration lacks a documented public API (2/4, paths 404'd), regulatory/security/compliance is thin (1/4, no named certifications), and cost economics + time-to-value is low (1/4, quote-only).
Best for Renewable asset owners and operators seeking unified SCADA, predictive APM, and multi-market dispatch optimization across utility-scale portfolios.
12 Enverus AI and intelligence platform for the global energy economy Cross-industry 45 /100
Top strength Proprietary, continuously-updated energy dataset (2.7 PB over 25 years) with AI forecasting and a governed, SOC 2 Type II execution platform (Enverus ONE), trusted by 8,000+ companies in 50 countries and backed by Blackstone.
Top gap Built for energy data, analytics, forecasting and B2B automation rather than utility grid/DER orchestration or residential customer engagement/billing; no documented AMI/MDM/CIS/SCADA connectors or DERMS/VPP dispatch on the public surface, and pricing is quote-only.
Best for Energy market participants (operators, financial services, traders, P&R developers, minerals, midstream) needing nodal forecasting, interconnection studies, granular well/asset economics and procurement automation at enterprise scale.
13 Cognite Industrial DataOps and asset-performance management for energy operators. Cross-industry 44 /100
Top strength Ease of data integration + accuracy (top strength, 3/4): Cognite Data Fusion contextualizes OT and IT data with 90+ extractors, open APIs and Snowflake zero-copy. Cost economics + time-to-value (3/4) shows documented ROI and a 7-week deployment, and asset performance + grid reliability (3/4) adds health monitoring and robotic inspection.
Top gap Grid + DER orchestration (0/4) and utility customer engagement + billing (0/4) are structural absences; Cognite serves asset and field operators, not utility retail operations. Energy data analytics is operational-data analytics (2/4), not AMI consumption forecasting, and pricing is quote-only.
Best for Large energy operators and asset-intensive utilities seeking industrial data unification, digital twins, and production optimization.
14 Utilidata Real-time grid-edge AI for DER visibility and power-flow control. Cross-industry 44 /100
Top strength Grid + DER orchestration (top strength, 3/4): the Karman platform delivers real-time DER management at the grid edge with sub-20ms control, embedded in smart meters via a custom NVIDIA Jetson module. Asset performance + grid reliability (3/4) adds real-time grid measurement and distribution-edge resiliency.
Top gap Utility customer engagement + billing is a structural absence (0/4, grid-edge and data-center power orchestration only). Ease of data integration + accuracy is hardware-bound (2/4, no software API or AMI/MDM/CIS connectors), regulatory/security/compliance is undisclosed, cost economics + time-to-value is low (1/4, quote-only with no TTV evidence), and CEO name is unconfirmed.
Best for Utilities seeking distribution-level DER visibility and high-resolution power measurement at the meter.
15 GridX Enterprise rate engine and billing analytics for utilities. Cross-industry 42 /100
Top strength Utility customer engagement + billing (top strength, 4/4): bills complex rates inside the existing CIS across 40M meters under contract, 1,000+ tariffs modeled, and 49M bills calculated daily, with a named PG&E deployment. Energy data analytics + forecasting (3/4) adds GridX Forecast and the Innowatts acquisition.
Top gap Grid + DER orchestration (0/4, rate-design scope only, no DERMS/dispatch), asset performance + grid reliability (0/4), and regulatory/security/compliance (0/4, placeholder security page) are all structural absences. Ease of data integration is API-first but thinly evidenced (2/4, developer site 404'd), AI/ML is unevidenced, and pricing is quote-only.
Best for Utilities seeking rate design, bill-impact analytics, and CIS-adjacent billing modernization without replacing core systems.
16 Verdigris Circuit-level electrical waveform monitoring for facility power chains. Cross-industry 42 /100
Top strength Cost economics + time-to-value (top strength, 4/4): transparent published pricing from $25,000 per MW per year, a measured 6:1 ROI at T-Mobile on 800 rectifiers, and a 30-to-90-day pilot. Asset performance + grid reliability (3/4) uses 8,000-samples-per-second waveform analysis to catch degradation that threshold alarms miss.
Top gap Reads as a building/data-center (facility-side) vendor rather than a utility vendor, cohort fit is flagged. Grid + DER orchestration (0/4) and utility customer engagement + billing (0/4) are structural absences, integration targets building/BMS gear only (Schneider, Honeywell, Eaton, Vertiv via BACnet/Modbus, 2/4), and founding, HQ, funding, and leadership are all undisclosed.
Best for AI data-center and colocation operators seeking circuit-level power-quality analytics and predictive maintenance on facility equipment.
17 Avathon Industrial-AI asset-performance management for power and renewable assets. Cross-industry 31 /100
Top strength Asset performance + grid reliability (top strength, 3/4): predictive maintenance and digital-twin analytics on renewable, hydro and offshore assets, including turbine ML and ESP failure prediction. Energy data analytics + forecasting (2/4) adds AI on operational asset data.
Top gap Grid + DER orchestration (0/4) and utility customer engagement + billing (0/4) are structural absences. Ease of data integration + accuracy is generic (2/4, no named AMI/MDM/CIS/SCADA connectors), and regulatory/security/compliance is [UNKNOWN] (no security or trust page surfaced).
Best for Large energy-asset operators seeking predictive maintenance and digital-twin analytics on generation or upstream infrastructure.
18 Reactive Technologies Real-time grid inertia and system-strength measurement for operators. Cross-industry 27 /100
Top strength Asset performance + grid reliability (top strength, 4/4): high-precision grid inertia and system-strength measurement at scale for transmission operators, with named customers NESO and TEPCO and a NESO contract expansion.
Top gap Grid + DER orchestration (0/4) and utility customer engagement + billing (0/4) are structural absences. Ease of data integration + accuracy is low (1/4, accuracy claimed but no API evidence), regulatory/security/compliance is thin (1/4, IEEE engagement only), cost economics + time-to-value is low (1/4, quote-only), AI/ML is unevidenced, and founding year, headcount, and investor names are undisclosed.
Best for Grid operators needing real-time inertia and system-strength measurements to support renewable integration and reliability planning.
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