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Industry · Digital Infrastructure

Run the infrastructure that runs AI.

Data centers, towers, fiber, subsea and edge are being rebuilt for the AI era — under pressure on power, cooling, capacity and speed to build. Cana agents help operators recover stranded capacity, run cooling smarter, predict failures and deliver new capacity faster.

hall-3 · 5.0 MW · live thermal
IT LOAD4.4 MW+900 kW headroomCDU SUPPLY32.0°Cpre-cooling row CCHILLER 2vibration ↑WO draftedillustrative

Capacity

Use operational signals to find and recover stranded capacity

900 kW

Stranded capacity recoverable in one illustrative 5 MW hall

HiveMQ, agentic data-center operations

Minutes

To surface subtle equipment deviations that can take days or weeks to diagnose manually

HiveMQ

Who we serve

Built for every corner of digital infrastructure.

01

Hyperscale & colocation data centers

Power, cooling, capacity and customer operations across campuses.

02

Tower companies

Site acquisition, lease management, maintenance and tenancy.

03

Fiber & subsea networks

Route planning, construction, splicing and fault localization.

04

Edge & micro data centers

Remote, unmanned sites that need autonomous operations.

The challenge

What’s standing in the way.

Power is the new constraint

Grid connections take years; every kilowatt of stranded capacity matters.

AI racks run hot

High-density GPU workloads create fast thermal transients that static controls can't follow.

Build faster

Construction, commissioning and handover timelines decide who wins capacity deals.

Skilled-labor shortage

Experienced facility engineers are scarce and spread thin across sites.

Use cases

Where agents change the economics.

01

Stranded capacity recovery

Agents model true electrical and thermal headroom per hall and recommend safe increases in deployable load.

More sellable megawatts from the same building.

02

Predictive thermal control

Anticipate GPU workload phases and adjust CDU setpoints, flow and chiller staging ahead of transients.

Higher efficiency within hardware limits.

03

System-level cooling optimization

Optimize the full thermal chain — plant, distribution, rack — instead of fixed schedules.

04

Predictive maintenance

Compare live equipment behavior to baselines and flag vibration, pressure or efficiency drift before alarms fire.

05

Peak-demand management

Use UPS and battery energy in limited windows to shave peaks and smooth load, without compromising resilience.

06

Capacity sales & quoting

Turn customer requirements into feasible designs, prices and delivery dates in hours.

07

Construction & commissioning

Track schedules, submittals and test scripts; flag slippage early.

08

Remote hands over Walkie-Talkie

Technicians get step-by-step guidance and log work hands-free on the floor.

Across the value chain

Agents at every stage.

Plan

01

Site selection

Power procurement

Demand forecasting

Build

02

Schedule control

Submittal review

Commissioning scripts

Sell

03

Quote & design

Contract review

Customer onboarding

Operate

04

Thermal control

Capacity headroom

Predictive maintenance

Serve

05

Remote hands

Ticket resolution

Usage reporting

FAQ

Questions from the field.

Do agents control physical equipment directly?

Only if you choose. Most operators start with recommendations to the BMS/DCIM and move to closed-loop control for specific, bounded setpoints after validation.

Which systems do you connect to?

BMS, DCIM, EPMS, CMMS and ticketing systems through MCP adapters, plus telemetry over standard protocols.

Bring agents to digital infrastructure. Let’s talk.

Join the waitlist for early access to Super Intelligent Agents and updates as Cana opens up.