Engineering + AI
Embed energy engineering, site logic, equipment behavior, and operating constraints into AI-assisted decision workflows.
AI-Driven Autonomous Energy Intelligence
Where Expertise Becomes
Intelligence.
DAES® turns energy engineering, IoT data, AI algorithms, field control, M&V verification, ESG compliance, and energy-finance models into a scalable intelligence platform for energy-intensive infrastructure.
Verified
Scalable
Expert-Led
Autonomous
DAES® Autonomous Energy Intelligence Platform
DAES® is an AI-driven autonomous energy intelligence platform built for commercial buildings, industrial facilities, cold chain, data centers, and large-scale infrastructure. It integrates energy engineering, IoT data, AI algorithms, field control, M&V measurement and verification, ESG compliance, and energy-finance models to help organizations reduce energy waste while maintaining operational stability.
Measure
Verify
Optimize
Disclose
Finance
From Energy Savings to Infrastructure Value
DAES is not a single energy-saving device. It converts equipment-level data, operating behavior, and energy cost into a management-grade decision platform trusted by executives, finance teams, ESG functions, and capital markets. Through AI optimization, predictive maintenance, anomaly detection, root-cause analysis, and continuous M&V, DAES helps enterprises move from passive monitoring to proactive energy performance management.
M&V + ESG compliance
Translate savings into measurable, verifiable, auditable, and disclosure-ready energy-performance records.
Financeable deployment
Support ESCO structures, equipment leasing, green financing, and multi-site deployment across regions.
A Platform Connecting Equipment, Operations, ESG, and Finance
DAES is designed as an intelligence layer above equipment and site operations. It connects data acquisition, AI analytics, engineering judgment, measurement verification, and business-model execution into one operating platform.
IoT & Energy Data Layer
Collect energy meters, equipment signals, BMS / EMS data, site operations, tariffs, weather, and production or occupancy context.
AI Intelligence Layer
Apply demand forecasting, anomaly detection, predictive maintenance, benchmarking, and optimization algorithms.
Engineering Expertise Layer
Convert engineering rules, site constraints, operational know-how, and control strategies into reusable decision logic.
M&V / ESG Knowledge Layer
Maintain baselines, verification records, root-cause memory, decision history, ESG evidence, and disclosure-ready reporting logic.
Autonomous Action Layer
Support recommendations, controlled optimization, performance verification, and continuous improvement at portfolio scale.
Platform Capabilities
DAES combines energy intelligence, operational control, verification, ESG reporting, and finance-readiness into one platform.
Enable management and engineering teams to query site performance, energy costs, anomalies, and operational conditions in natural language.
Forecast demand, load behavior, equipment trends, and high-consumption periods before they affect cost and stability.
Detect abnormal consumption, equipment drift, control deviation, and maintenance risk across critical energy systems.
Use AI-assisted optimization and field control logic to reduce waste while protecting uptime, comfort, quality, and reliability.
Identify root causes behind spikes, inefficiency, deviation, or underperformance, and convert findings into corrective actions.
Continuously verify results through M&V and improve future decisions through a closed learning loop.
Industry Applications
DAES is built for energy-intensive assets where energy cost, reliability, ESG performance, and financial value must be managed together.
Optimize HVAC, chiller plants, demand peaks, tenant comfort, portfolio visibility, and ESG energy-performance reporting.
Improve motors, pumps, compressors, utilities, and production-support systems without disrupting operational continuity.
Protect temperature stability while reducing waste across cold storage, distribution centers, logistics, and refrigeration systems.
Enhance cooling efficiency, uptime resilience, energy visibility, and infrastructure-grade performance verification.
Measurable, Verifiable, Financeable Impact
DAES focuses on results that can be measured, verified, disclosed, and converted into long-term infrastructure value.
Reduce avoidable energy waste and inefficient operating patterns while maintaining stable operations.
Create transparent energy and equipment visibility for executives, engineers, ESG teams, and finance teams.
Transform savings into M&V-supported performance records that can support ESG disclosure and commercial decisions.
Enable scalable deployment models including ESCO, equipment leasing, green finance, and cross-border multi-site management.
Deployment & Commercial Models
DAES supports platform deployment, M&V programs, managed optimization, ESCO structures, leasing models, and strategic regional rollout.
Deploy DAES as an autonomous energy intelligence layer across one site or a multi-country infrastructure portfolio.
Set baselines, integrate data, deploy analytics, configure control logic, and validate savings through M&V.
Provide ongoing optimization, reporting, review cycles, root-cause analysis, and continuous performance improvement.
Structure ESCO, equipment leasing, green financing, and market deployment strategies for long-term value creation.
Deployment Roadmap
DAES can be implemented in stages: verify the baseline, deploy intelligence, prove measurable performance, then scale across assets and markets.
Assessment & Baseline
Collect energy bills, equipment data, operating schedules, tariffs, site conditions, and ESG or finance objectives.
AI Model & M&V Plan
Build the baseline, define KPIs, identify savings opportunities, and prepare a measurement and verification framework.
Pilot & Optimization
Connect IoT data, deploy analytics, test control strategies, verify outcomes, and refine the learning loop.
Scale & Finance
Expand across sites and support ESCO, leasing, green finance, ESG disclosure, and portfolio-level management.
Build a Measurable Energy Intelligence Roadmap
Tell us about your asset type, energy baseline, operating model, ESG objectives, or financing structure. DAES will help evaluate the right pilot, M&V plan, ESCO model, and deployment roadmap.
Verified
Scalable
Expert-Led
Autonomous
DAES® MARINE
Autonomous maritime safety and mission systems.自主海事安全與任務系統。
A coordinated product family linking aerial awareness, field positioning, autonomous on-water response and connected command.
整合空中態勢感知、現場定位、自主水面應變與指揮通訊，形成完整的海事安全產品線。
DAES® AERIAL
Mission-built autonomous aircraft—and a new nutrition-logistics platform.
Precision agriculture, logistics and fire response, infrastructure inspection, unarmed patrol, and DA6200-XR nutrition logistics for remote communities.