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
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.
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.
Alternating-day comparison
Used where site operations allow a controlled comparison between baseline and optimized operation.
Historical or baseline analysis
Used when direct A/B cycling is not practical and the site needs a baseline-based reporting path.
Energy and cost reporting
Ties plant performance back to the metering and utility context the customer actually manages.
Control-log traceability
Keeps the setpoint and operating record available so measured outcomes can be tied back to runtime decisions.
Meter-aligned
Energy reporting
Utility-aware
Cost reporting
The measurement package depends on site conditions, available data, and the agreed commercial boundary.
Commercial model
Two ways to work with us
Shared savings is the default. Cooling-tonnage pricing is reserved for long-term customers or sites with special procurement requirements.
Default
Shared 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
Cooling-tonnage pricing
Available when a fixed cooling-tonnage basis fits a long-term customer relationship or procurement requirement better.
- ✓Fixed scope 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.