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Lumo

Lumo is an AI-powered operational intelligence platform that unifies data from RTLS, CMMS, building sensors, work orders, and vendor reports into a single real-time model of physical facilities. The platform automatically detects anomalies, qualifies and dispatches the right technician, and writes outcomes back to IBM Maximo or SAP without manual re-keying. It includes a conversational plain-language query interface that lets teams ask questions about assets and dispatch work directly from the conversation.

Traction 6/10
San Francisco, United States · HQ
Founded 2025650+ followers
  • AI Agents
  • Internet of Things
  • Property Technology
  • Enterprise Software
  • Artificial Intelligence
  • Software Only
  • Data & Analytics
  • Industrial Automation
Updated 6 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Facility operations teams rely on disparate systems such as RTLS, CMMS, building sensors, work orders, and vendor reports that do not communicate with each other. This fragmentation forces staff to switch between multiple tools to answer a single question, delays response to emerging issues, and creates manual data re-entry errors that compromise operational accuracy.

Solution

Lumo acts as an operational brain that sits on top of existing infrastructure, ingesting live signals from RTLS, CMMS, building sensors, work orders, and vendor reports into a single real-time model of the facility. The platform reconciles these signals so every asset, technician, and open job is tracked in one unified view, updated the moment reality changes. Lumo then runs the operation by flagging anomalies as they emerge, qualifying the right technician for each job, dispatching work automatically, and writing outcomes back to IBM Maximo or SAP without manual re-keying. This enables teams to stop switching between five tools, making the facility something they can query directly and that acts on its own.

Target Audience

Primary users are facility operations teams at large enterprises, industrial plants, healthcare campuses, and commercial real estate operators that rely on IBM Maximo, SAP, or Corrigo for asset and work order management.

Features

  • Real-time ingestion and reconciliation of signals from RTLS, CMMS, building sensors, work orders, and vendor reports
  • Unified operational model where every asset, technician, and open job is tracked with live status updates
  • Automated anomaly detection that flags operational issues as they emerge
  • Intelligent technician qualification and automated work dispatch based on job requirements, with average dispatch time under one minute
  • Native integrations with IBM Maximo, SAP, and Corrigo with encrypted, role-based, audit-ready data handling
  • Automated write-back of work outcomes to enterprise systems, eliminating manual data re-entry
  • Asset onboarding via nameplate scanning that auto-matches manufacturer, model, and serial number against installed records, assigning a permanent digital identity
  • Conversational plain-language query interface that answers questions grounded in live data and supports dispatch directly from the conversation
  • Mobile-first experience for technicians with role-based views for supervisors and facility leaders
This profile is AI-generated and may contain inaccuracies.