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Aquicore

AI-powered building performance optimization platform

Cloud-based energy management and building intelligence platform that aggregates real-time data from meters, sensors, and building systems to optimize performance across commercial real estate portfolios.

Pricing
contact the vendor
Alternatives
VIM, 2050 Materials, SoleSensor
Who it's for
Facility Management, Owner/Developer, MEP Engineering
$48.8M raisedEstablished
Founded 2013 · 700+ buildings including CBRE, Hilton, Marriott, Cushman & Wakefield
Website → ← All Tools
WHY IT EXISTS

Why This Tool Exists

The Problem

Commercial real estate portfolios waste 15-30% of energy consumption due to equipment malfunctions, poor scheduling, and lack of real-time visibility across hundreds of buildings. Property managers manually review utility bills monthly, discovering issues weeks after they occur, resulting in millions in unnecessary costs and missed sustainability targets.

The Solution

AI-powered platform aggregates real-time data from meters, sensors, and building systems across portfolios to automatically detect anomalies, predict equipment failures, and recommend energy optimization projects. Provides dashboards and alerts so teams can resolve issues within hours rather than weeks.

USAGE

How You Use It

Delivery Method
SaaSAPIMobile App
Integrations
ENERGY STAR Portfolio ManagerBuilding Management Systems (BMS)Utility meters and sensors
Disciplines
Facility Management, Mep Engineering
Workflows
Data & Automation, Operations & Facility Management
Project Phases
Operations/FM
Project Types
Commercial, Healthcare, Education, Hospitality, Institutional
TRANSPARENCY

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:Utility meter data, Building system data
Optional:Weather data, Occupancy data, Equipment specifications
Formats:Real-time sensor data, CSV files, API feeds, Utility bills
Output
What you get
Format:Real-time dashboards and automated reports
Fields:Energy consumption trends, Anomaly alerts, Equipment performance metrics, Cost savings recommendations, Sustainability metrics
Algorithm
How it works
Model:Proprietary AI with fault detection and diagnostics (specific models not disclosed)
Accuracy:Not publicly specified
Privacy
How your data is protected
Retention:Not publicly specified
Training:Not publicly specified
Compliance:Maintains cyber liability insurance with $1M+ coverage
API
Integration
Endpoint:GraphQL API (contact vendor for access)
Method:GraphQL
USE CASES

Use Cases

  • ·Portfolio-wide energy consumption monitoring and optimization
  • ·Real-time equipment fault detection and maintenance alerts
  • ·Automated utility bill processing and tenant billing
  • ·ESG reporting and sustainability target tracking
  • ·Energy budget management and cost variance analysis
PRICING

Pricing

Free
Demo available
Pro
Contact for pricing
Enterprise
Custom pricing based on portfolio size
Sources & Research NotesResearch date: 2026-02-01
Data Sources (6)
Fields Checked (8)
problem, solution, deliveryMethod, customerBase, fundingTotal, maturityStage, yearFounded, product-features
Not Found (7)
api-documentation, privacy-policy, specific-pricing, algorithm-details, accuracy-metrics, data-retention, soc2-compliance
About this research: This record summarizes the cited sources and fields checked. A research date does not establish hands-on testing. Consult the original sources for current details and limitations.
ALTERNATIVES

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