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Real Estate verified Verified Outcome TRL 9

Autonomous Building HVAC (Deep Learning)

domain Client: Commercial Real Estate handshake Provider: BrainBox AI schedule Deploy: 2020-Present
93 Impact
Enterprise Ready
Evidence Score: 5/10
Strength: High

Executive Summary

ANALYST: COI RESEARCH

Deployment of a cloud-based AI that connects to existing HVAC controllers, using deep learning to predict thermal changes 2 hours in advance and micro-adjust equipment to save energy.

rate_review Analyst Verdict

"A leap forward from 'rule-based' controls. Unlike standard BMS which reacts to temperature (Too hot -> Turn on AC), BrainBox *predicts* the heat load (Sun is coming -> Pre-cool now). The cloud-based 'write back' capability is the differentiator."

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Full Audit Report Available Includes Risk Register, Technical Specs & Compliance Data.

warning The Challenge

HVAC systems are reactive and oscillate constantly (hunting), wasting energy and wearing out parts. Traditional BMS fine-tuning requires expensive consultants and drifts over time. Buildings account for 40% of global emissions, primarily due to this inefficiency.

psychology The Solution

Connected an edge device to the BMS (Tridium/BacNet). It maps the data points to the cloud. The AI learns the building's thermal behavior over 6-8 weeks. It then switches to 'autonomous mode', sending write-commands to valves and fans every 5 minutes. It ingests weather and utility tariff data to optimize for cost and carbon.

settings_suggest Technical & Deployment Specs

Integrations
BACnet, Modbus
Deployment Model
SaaS
Data Classification
Building Telemetry
Estimated TCO / ROI
Subscription
POC Summary ( to )

"N/A"

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
Controller Compatibility Medium Custom drivers.
Cybersecurity High Outbound-only connections.

trending_up Impact Trajectory

Audited value realization curve

25-29% reduction in HVAC energy consumption Verified Outcome
Primary KPI30% reduction in equipment runtime (wear & tear)
Audit Cycle218 metric tons CO2 avoided annually per building

policy Compliance & Gov

  • Standards: ESG Reporting
  • Maturity (TRL): 9
  • Evidence Score: 5/10
  • Data Class: Building Telemetry

folder_shared Verified Assets

description
Verified Case Study
PDF • Version 1
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Technical Audit
PDF • Audited
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The "Blind Verification" Protocol

How we verified these outcomes for Commercial Real Estate without exposing sensitive IP or identities.

Private
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1. Raw Evidence

Audit ID: #PRIV-676
Evidence: Direct SQL Logs
Public
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2. Verified Asset

Outcome: Verified
Ref ID: #COI-676

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