ControlRooms.ai partnered with Ideas2IT to build an AI-powered observability platform that ingests terabytes of sensor data, detects anomalies in real-time, and helps plant operators troubleshoot before production is impacted.

The Situation:

Industrial manufacturers lose billions annually to unplanned downtime. Operators often sift through thousands of trends manually and respond only after alarms are triggered.

ControlRooms.ai set out to change that by building a cloud-native platform that detects issues before human intervention is needed, using machine learning and continuous data ingestion.

With early traction and fresh funding, they had the vision in place. What they needed was a technology partner to deliver on it.

The Problem:

Stream terabytes of sensor data from IoT devices in near real time

Detect and surface anomalies proactively with minimal false positives

Trigger notifications across channels (web, Teams, email)

Support a multi-tenant architecture for multiple plants and customers


Stay cost-efficient enough to roll out commercially

Commercial cloud platforms could not meet the performance and customization demands. So we built a custom solution from the ground up.

What We Built:

Ideas2IT collaborated with Stride K12’s academic and product leaders to rewire the platform using generative AI, GPT-based assistants, and gamified UX.

The Results:

Metric Before After
Customer migration time Weeks-months Hours-days
Maintenance overhead High Down 36%
Tenant scalability Limited Seamless across environments
Data consistency Manual validation Automated hecksums+ audits
Onboarding new clients Painful Click-to-provision ready

What This Taught Us

Sensor data is only useful when delivered in real time and with context

Machine learning models must be production-grade, including validation and alerting

Multi-tenancy is a design requirement

This platform was designed to scale across plants, sectors, and use cases with industrial-grade resilience.

Co-create with the Ideas2IT AI Lab:

Bring Us In. Wherever You’re At.

What Happens When You Reach Out:

  • We schedule a quick call to understand your AI priorities and context
  • Pick the format: workshop, assessment, pilot, or build sprint
  • We bring in the right team from our AI Lab to co-create with yours
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