DCOA
Data center operations automation
Sensor-driven automation on /IOTCONNECT™ + AWS. Automate manual rounds, detect failures before they happen, and keep every critical system optimized around the clock.
DCOA
Sensor-driven automation on /IOTCONNECT™ + AWS. Automate manual rounds, detect failures before they happen, and keep every critical system optimized around the clock.
Our Clients
The BMS tracks cooling performance. DCIM monitors rack power. SCADA manages electrical systems. And many more tools. None of them talks to each other.
Every senior tech runs the same task differently. Documentation lives in PDFs nobody has read in two years.
Your last UPS string was supposed to have another 18 months. Your last CRAC failure cost you 47 minutes of downtime.
Nameplate says 80%. Real load says 60%. Somewhere in that gap is the rack you didn't have to build.
Deploy sensor-driven intelligence across thermal, power, environmental, and asset systems built on /IOTCONNECT™ and AWS. The platform converts raw sensor data into predictive alerts, real-time dashboards, and automated control loops without manual intervention. The solution supports facilities ranging from a single 10,000 sq ft site to large multi-site portfolios while automating four critical operational domains:
1. See
Single pane of
glass
See every site, every alert, in one view.
2. Know
Predictive
maintenance
Know before it breaks, 30 to 90 days ahead.
3. Connect
Open
integrations
Connect to the tools you already trust.
4. Optimize
Energy and capacity
intelligence
Optimize PUE, reclaim capacity, and ship reports.
5. Empower
Operational
resilience
Empower tech teams with the right runbook in real time.
At $9,000 per minute of unplanned downtime, a single avoided outage delivers significant cost savings and stronger operational stability.
Book a discovery session ›The platform is production ready. All core modules, sensor onboarding, edge processing, cloud analytics, dashboards, and runbook delivery are fully available for deployment.
Average reduction in manual operational effort across facilities that have deployed the solution. From eliminating walkthroughs to automating escalation and compliance logging.
A structured four-stage deployment process, Discovery, Feasibility, Pilot, Production, gets you to live results in weeks. Value is validated at every stage before scaling further.
Facilities from 10,000 sq ft to 100,000+ sq ft, and multi-site portfolios of any scale. Every in-scope sensor and system feed into a single platform.
AWS Greengrass edge processing at the facility level. Low-latency local alerts, OTA firmware updates, and remote device configuration for every edge device.
/IOTCONNECT™ on AWS. Integrated with Greengrass, Bedrock, SageMaker, Cognito, and more. Rule engines, AI model deployment, and complex pattern detection at cloud scale.
Real-time dashboards. ERP and CMMS integration paths. Security via X.509 certificate authentication, encryption at rest and in transit, and role-based access control.
We map your telemetry, identify your top three pain points, and baseline the KPIs we'll move together: MTTD, unplanned downtime, PUE, stranded capacity, change-failure rate.
Unified visibility goes live across one site, paired with the capability that pays back fastest for you — Predictive Maintenance, Energy Intelligence, or Operational Resilience.
Unified visibility goes live across one site, paired with the capability that pays back fastest for you — Predictive Maintenance, Energy Intelligence, or Operational Resilience.
Automated sensor coverage replaces 100% of labor walk-through with continuous monitoring. It captures readings every few seconds across every in-scope system, every minute of the day.
/IOTCONNECT™ tracks hours per unit and captures continuous sensor baselines. It triggers maintenance work orders automatically when degradation patterns emerge.
Dynamic cooling modulates CRAH and AHU output based on live sensor data from actual rack temperatures. Automation reduces cooling energy waste.
Automated fault triage, role-based escalation, and GenAI runbooks close the gap from milliseconds of sensor detection to resolved incidents.
Automated sensor coverage replaces 100% of labor walk-through with continuous monitoring. It captures readings every few seconds across every in-scope system, every minute of the day.
/IOTCONNECT™ tracks hours per unit and captures continuous sensor baselines. It triggers maintenance work orders automatically when degradation patterns emerge.
Dynamic cooling modulates CRAH and AHU output based on live sensor data from actual rack temperatures. Automation reduces cooling energy waste.
Automated fault triage, role-based escalation, and GenAI runbooks close the gap from milliseconds of sensor detection to resolved incidents.
Built on /IOTCONNECT™ and integrated with AWS services including Greengrass, Bedrock, SageMaker, Lookout, Cognito, and Cedar AVP.
We consider labor calculations, outage cost data, and energy savings projections to justify investment before a single sensor is deployed.
The solution deploys in weeks with a structured four-stage process that validates value at every step. Your team sees results and receives training.
Once deployed at one facility, the platform replicates across additional sites. Your dashboard remains the same for the entire portfolio.
Schedule a discovery workshop with our team and walk away with an automation roadmap, ROI model, and integration plan built around your facility.
Schedule a call ›
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