Advisory mode
ClimaMind can begin by recommending setpoint changes without writing to the BAS.
01
Unified cooling-system solution
Supervisory Optimization.
Add an AI control layer above your existing BAS to optimize chillers, pumps, cooling towers, and selected setpoints as one coordinated system.
Retained
Existing BAS
Maintained
Operator authority
- ✓Whole-system optimization instead of isolated equipment tuning
- ✓No BAS rip-and-replace and no replacement of the existing controls stack
- ✓Operator-visible approvals, guardrails, and fallback paths
The control problem
Supervision, not observation.
Commercial HVAC is still a massive, under-optimized control problem. Most plants already have BAS visibility, trends, alarms, and operator screens; the persistent waste comes from static setpoints, poor sequencing, and subsystems that are not coordinated through supervised control against real load, weather, and equipment efficiency.
What we optimize
Plant-wide cooling control
The solution is designed around the operating system you already have in the field, then extended with supervisory logic that can coordinate the assets that matter most.
ClimaMind AI Overlay
A supervisory layer evaluates live conditions and recommends plant-level setpoints without replacing existing controls.
Existing BAS/BMS
The BAS remains the operating interface and native control layer. Operators keep visibility, overrides, and local authority.
Optimized HVAC equipment
ClimaMind focuses on the assets that drive plant energy: chillers, pumps, towers, storage, and selected system setpoints.
Non-optimized building systems
Adjacent systems stay outside the optimization boundary unless they are explicitly mapped into the deployment scope.
AI HVAC optimization for existing BAS
The broader ClimaMind guide explains the supervisory AI control pattern behind this BAS overlay, including chiller plants, pumps, cooling towers, AHUs, guardrails, and measured savings.
Secure intervention
Safety strategy by design
Before AI writes to the BAS, ClimaMind can start in advisory mode, define hard limits, apply bounded tuning steps, and preserve a clear path back to native BAS control.
Hard safety boundaries
Commands outside authorized equipment limits are rejected automatically.
02
Small-step tuning
Gradual, rate-limited adjustments avoid aggressive transients.
03
AI/BAS handoff
Operators can return control to BAS while fail-hold preserves safe operation.
04
Deployment path
Safe BAS rollout
Optimize inside guardrails; keep BAS control.
Step 1
Data intake and point mapping
Capture schematics, equipment inventory, point lists, and control boundaries before any write path is enabled.
Step 2
Edge appliance beside the BAS
Deploy a site-resident edge appliance that reads the live system and integrates with the existing BAS architecture.
Step 3
Guardrails and operator approvals
Define authorized points, approval steps, rate limits, and fallback behavior with site operators in the loop.
Step 4
Continuous optimization
Move from observation to controlled optimization at the pace the site can support, with rollback visibility preserved.
Operational guardrails
Visible control boundaries, not hidden automation
The operating model keeps native BAS authority and human takeover inside the same frame as the AI layer.
How value is measured
Audit-ready savings
Measurement fits the site's operating constraints, metering, and commercial boundary so results can be reviewed by operators and sponsors.
The measurement package depends on site conditions, available data, and the agreed commercial boundary.
01
Measurement method
Choose the lightest defensible method for the commercial question: alternating days, a baseline model, or settlement-grade IPMVP when required.
01
Alternating-day comparison
Used where site operations allow a controlled comparison between baseline and optimized operation.
02
Historical or baseline analysis
Used when direct A/B cycling is not practical and the site needs a baseline-based reporting path.
03
IPMVP-alignedM&V
A settlement-grade option for contracts, incentives, financing, or third-party review; requires a pre-agreed M&V Plan and complete data access.
02
What we measure
Once the method is set, the evidence package tracks outcomes, comparable operating conditions, and control traceability.
Metered energy outcome
Plant meters, utility interval data, or BAS energy points define the energy result when they are available.
Utility cost basis
Tariffs, demand charges, time-of-use periods, and billing assumptions translate energy movement into cost impact.
Operating context
Weather, load proxies, schedules, occupancy, and equipment availability explain whether periods are comparable.
Control-log traceability
Keeps the setpoint and operating record available so measured outcomes can be tied back to runtime decisions.
Commercial model
Two ways to work with us
Performance-based pricing is the default. Total HVAC energy-cost share is available when customers need a fixed budget or procurement-friendly structure.
Default
Performance-based savings
Payment aligns to measured savings when the site boundary and reporting data support it.
- ✓Measurement boundary agreed up front
- ✓Reporting tied to metering and utility context
Long-term / special requirements
Total HVAC energy-cost share
Available when a total HVAC energy-cost basis fits a long-term customer relationship or procurement requirement better.
- ✓Fixed budget basis
- ✓Useful for special procurement constraints
Where it fits
Adaptive control for every site
The control layer stays conceptually consistent even when the facilities and operating constraints change.
Commercial buildings
Central cooling systems serving multi-tenant or comfort-sensitive operations.
Campuses
Multi-asset environments with varying loads across buildings or thermal loops.
Hospitals
Reliability-sensitive environments that need explicit oversight and fallback paths.
Data centers
Cooling infrastructure where operator control boundaries and measurable outcomes both matter.
Deployment-readiness briefing
Start with the BAS you already trust.
Review control scope, guardrails, and measurement approach with our team before any closed-loop rollout.