01 / SENSE
Sense the whole facility
Bring temperatures, humidity, equipment state, and energy signals into a shared view of thermal demand.
A.I.M.I. / AUTONOMOUS COOLING
Control the heat.
Unlock the headroom.
Less cooling waste. More room for productive infrastructure.
A.I.M.I. continuously coordinates cooling, airflow, and facility signals inside operator-defined limits. It turns changing thermal conditions into real control actions—helping data centers reduce energy use and recover capacity from the equipment already in place.
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 cooling and airflow changes will affect conditions across the facility, rather than tuning each unit in isolation.
03 / ACT
Act within guardrails
Adjust approved setpoints continuously, with rate limits, action validation, and fallback to native control.
ADAPTIVE CONTROL / ILLUSTRATIVE RESPONSE
Respond to the load.
Stay inside the envelope.
As thermal demand changes, coordinated control can reduce oscillation and unnecessary cooling effort. Explore two views of the same illustrative operating cycle.
Demand-matched cooling
Normalized cooling effort is shown for a comparable thermal demand profile.
COOLING EFFORT / NORMALIZED INDEX
— Conventional response— Coordinated 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.
Reduce cooling overhead
Coordinate fans and cooling equipment around actual demand to limit overcooling and unnecessary energy use.
Protect the operating envelope
Keep thermal constraints and operator authority at the center of every control decision.
Recover usable headroom
Convert lower cooling overhead into potential capacity for additional IT load, without assuming a physical expansion.
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 + cooling without server ownership. Compute orchestration requires control of the 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.
LOCAL INTELLIGENCE / EXPLICIT AUTHORITY
Built around your operating limits.
Connect existing facility systems, validate the control scope, and define the autonomy envelope before rollout. On-premises execution supports environments where control must remain local.
ACTION VALIDATIONRATE LIMITSNATIVE-CONTROL FALLBACKLOGGED ACTIONS
Talk through your facility