Luceris deploys AI agents that read between the lines of your work orders, vendor quotes, and asset histories—finding cost leaks and risks your CMMS cannot see. Deploys in days. Pays for itself in months.
Trusted by leading enterprises
Thousands of work orders flow through your systems every month. Vendors submit quotes with no context. Assets fail without warning. Your CMMS holds all the data—but cannot tell you which $500 repair prevents a $50,000 replacement, or which vendor is quietly charging 30% above market.
Each agent specializes in a specific leak in facilities spending. They work 24/7, never miss a pattern, and escalate only when human judgment is required.
Luceris integrates with your existing stack through secure APIs. No rip-and-replace. No months-long implementations.
Secure API integration with your CMMS, BMS, and financial systems. We map to your data structure, not the other way around.
AI agents read, classify, and enrich your data—turning inconsistent work orders into structured, analyzable intelligence.
Continuous analysis surfaces cost anomalies, vendor performance gaps, and assets at risk of failure.
Agents take action automatically—routing urgent tickets, flagging overcharges, and generating purchase orders within your existing workflows.
A global enterprise was losing hundreds of requests monthly to the 'miscellaneous' classification black hole. Luceris Auto-Classification recovered them—and accelerated response time by 80%.
Early warning from the Predictive Agent flagged deteriorating HVAC performance weeks before failure—allowing planned replacement instead of emergency shutdown.
A national service provider eliminated manual data entry between their dispatch system and client CMMS—freeing two full-time staff for higher-value work.
Enterprise-grade infrastructure with the certifications and controls required by the world's largest property owners and operators.
Implementation measured in days. ROI in months. Your monthly investment costs less than a single emergency service call.
The founding team previously built one of the first SaaS platforms for commercial facilities management—serving 500+ customers across 56 countries with 63,000+ locations at acquisition.