01 / SENSE
Sense the whole facility
Read temperatures, humidity, equipment state and energy demand.
A.I.M.I. / AUTONOMOUS COOLING
Control the heat.
Unlock the headroom.
Autonomously reduce cooling energy waste.
A.I.M.I.™ adjusts your existing cooling equipment to free power capacity for additional IT load.
Explore your cooling opportunityLOCAL EXECUTIONOPERATOR AUTHORITYEXISTING INFRASTRUCTURE
THE PRODUCT / IN ACTION
See the decision.
See the equipment respond.
One workspace for facility conditions, autonomous actions, and the energy impact. Every command stays inside your operating limits.
ILLUSTRATION
EXISTING EQUIPMENT
Read the facility.
Autonomous cooling control · illustration
40%Cooling demand · illustration
60%Autonomously adjusted
Compressor usageAI workload +25% · illustrative
Action logTRACEABLE BY DESIGN
AI workload ramp detected
01IT load increased 25% in the last minute. Hot aisle reached 93°F.
A.I.M.I.™ evaluates response
02A.I.M.I.™ increases minimum fan speed to reduce compressor usage.
Autonomous control applied
03Minimum fan speed ramps from 60% to 80% within operating limits.
Response verified
04Compressor usage (cooling demand) reduced from 40% to 15%.
Illustrative product walkthrough. Example signals, autonomous actions, and compressor usage demonstrate the workflow; actual control limits and outcomes are site-specific.
A FACILITY CONTROL LOOP
Every system, in thermal balance.
02 / PREDICT
Predict the response
Anticipate how equipment changes affect facility conditions.
03 / ACT
Act within guardrails
Adjust cooling automatically within approved limits, with fallback to native control.
ADAPTIVE CONTROL / ILLUSTRATIVE RESPONSE
Respond to the load.
Stay inside the envelope.
Match cooling to changing demand while keeping conditions within operating limits.
Demand-matched cooling
Normalized cooling effort is shown for a comparable thermal demand profile.
COOLING EFFORT / NORMALIZED INDEX
Conventional responseCoordinated control
Illustrative control profiles, not measured site telemetry or a savings forecast. Actual operating bands, responses, and energy impact are site-specific.
THE OPERATOR ADVANTAGE
Efficiency that respects uptime.
Lower cooling costs
Match cooling to demand and reduce wasted energy.
Unlock IT capacity
Free power capacity for additional IT load.
Maintain operating conditions
Keep temperature and humidity within operator-set limits.
BUILT FOR YOUR INFRASTRUCTURE
Deploy inside your facility.
Keep control on your terms.
A.I.M.I.™ runs on your server, connects to your facility network and controls your existing equipment.
- On-prem deployment
- Air-gapped option
- Vendor agnostic
INSIDE YOUR SECURITY BOUNDARYYour cooling systems. Connected.
Cooling equipment → BMS / SCADA → autonomous control
CUSTOMER-PROVIDED SERVERA.I.M.I.™ software + AI agentsLocal execution · Site-defined permissions
01 / Customer server
FLUIX deploys software + AI agents
02 / Facility network
Connect through BMS / SCADA or direct interfaces
03 / Cooling equipment
Sense → predict → act within guardrails
A clear path to autonomous control.
CONFIGURED AROUND YOUR SITE- 01 / INSTALL
You provide the server.
We deploy A.I.M.I.™ within your approved on-prem environment.
- 02 / DISCOVER
Capture your equipment.
Automatically discover accessible assets and map telemetry for site-team review.
- 03 / CONFIGURE
Define the boundaries.
Customize integrations, operating limits, permissions and control objectives.
- 04 / COMMISSION
Enable control in stages.
Validate in read-only mode, then enable autonomous control with action logging.
Connect to the systems you use.
Existing BMS / SCADA connections and equipment interfaces.
- BACnet
- Modbus
- SNMP
- TCP/IP
Across your cooling infrastructure.
Air, liquid and central plant systems. Mixed vendors. One control layer.
- CRAC / CRAH units
- Chillers & cooling towers
- Fans, pumps & air handlers
- CDUs & liquid-cooling loops
Configured for your environment.
Choose an air-gapped deployment where required. Local execution, operating limits and native-control fallback keep control within your facility.
- Operator-defined limits
- Rate limits
- Native-control fallback
- Logged actions
RELEVANT CASE STUDIES
Real facilities. Documented control.
TENHATS / LIVE 2 MW DATA CENTER
Autonomous cooling on production equipment.
Four months of operation inside operator-set guardrails. The deployment reported PUE improving from 1.36 to 1.27, with zero SLA excursions and zero new sensors.
Read the Utility Dive report6.6%
Reported PUE improvement
Before1.36
Full control1.27
Reported during the study’s full-control period. PUE is total facility power divided by IT power; lower is better.
U.S. AI FACTORY
~10% cooling-load reduction during a grid event.
Up to 23% cooling-load optimization during grid events and facility operation. A.I.M.I. autonomously coordinates HVAC response while maintaining operating constraints and uptime.
LATAM COLOCATION
~15% stranded capacity unlocked.
The existing deployment summary describes lower baseline cooling consumption recovering usable capacity without physical expansion.
FLUIX / TECHNICAL RESEARCH
Explore the control methodology.
Read the A.I.M.I. 1.0 whitepaper for the research behind continuous control of data center cooling.
Read our whitepaperDEPLOYED IN THE REAL WORLD
Built for live facilities.
Already in the field.
The most deployed autonomous AI for data centers.* From colocation and neoclouds to powered shells, across the United States and Latin America.Autonomous control across the U.S. and Latin America.*
150 MW+Contracted data center capacity
10data centers
99%Data center compatibility
FLUIX controls power and cooling without requiring ownership of tenant servers.
*FLUIX AI is the most deployed autonomous AI control layer in live facilities—executing real control of physical infrastructure, beyond insights and simulation. Markers show approximate city locations. Data center count excludes the Santa Clara AI lab and includes contracted sites.
BRING YOUR INFRASTRUCTURE INTO CONCERT