MaintainX

it's integrated into MaintainX. The work orders are generating for the red alerts.

Digital transformation in manufacturing often fails before it starts. Not because the tech is bad. Because it's built for a world that doesn't exist on the shop floor. Clean data, rigid workflows, dashboards that assume perfect inputs. The actual work looks different: incomplete data, paper logs, tribal knowledge in a senior tech's head, and a plant supervisor who needs an answer in the next 10 minutes. That's the gap we built MaintainX to close. AI that works with messy, real-world data from day one. Insights that show up at the point of work, not in a dashboard nobody trusts. And when a veteran tech retires, their knowledge stays in the system. I sat down with CIO Influence to talk about what it actually takes to make AI useful on the floor. Full interview available here: https://lnkd.in/eurC79Cw !

What MaintainX brings us is the field execution and data piece, the actual asset data piece.

AI only works if it works for the frontline. Great convo with Plant Services on making AI useful on the plant floor 👇 MaintainX

The gap between machine signal and maintenance action is closing. Not in pilot labs, but on the floor of serious industrial operations worldwide. Sensors are everywhere. Data is everywhere. PLCs, historians, MQTT brokers, SCADA systems. Every asset has something to say. And with AI, we can finally listen at scale. But here's the catch: insight without action is just a dashboard. Knowing a pump is about to fail doesn't fix the pump. Detecting an anomaly doesn't dispatch a technician. The hardest and most valuable challenge in this space isn't surfacing the data. It's turning it into work that actually moves the operation. That's what we're building at MaintainX. We're the action platform that takes signals from the physical world (sensors, integrations, AI) and turns them into the work orders, escalations, and decisions that keep the world running. Our Asset Intelligence team sits right at that seam. We own the full pipeline: the connectors and on-premise agent that bring industrial data in, the sensor and IoT experience, the automation & alerting engine, and the ML systems that turn telemetry into foresight, knowing what's going to fail before it does and what to do about it. The challenges are deep. The impact is real. We're hiring full-stack engineers, ML engineers, and applied scientists across Montréal, Toronto, and US hubs. If you've ever wanted to build software that understands machines and changes how the physical world runs, this is the place. Role details in the first comment. DMs open.

🇧🇷➡️🇲🇽 LATAM momentum keeps building! Last week we were in Brazil, and this week we're live here in Mexico at #FabTechMX and the energy at the show and our booth has been incredible. Love spending time with the companies that live on the plant floor helping make all of the products we use every day. If you're walking the floor today, come find us at Booth 3119. Whether you're managing assets, preventive maintenance, or work orders across your facilities we'd love to show you how MaintainX is helping industrial teams across Latin America keep their operations running at full speed. The conversations we're having here remind me why this region is such a massive opportunity. Maintenance and operations teams deserve modern tools and they're ready for them. 🙌 Stop by, say hi, and let's talk about how we can eliminate downtime together. 👇 Are you at FabTech this week? Drop a comment or DM me happy to connect on the floor. #FabTech #MaintainX #LATAM #MantenimientoIndustrial #CMMS #ZeroDowntime

MaintainX is the Leader and Top Trending CMMS on the market today. Join our May 5th webinar to hear challenges/trends maintenance teams are facing today in the State of Industrial Maintenance https://lnkd.in/eADMupKQ

Nothing beats hearing directly from the people using MaintainX every day. Moments like this remind me exactly why we do what we do—and push us to keep getting better. Let’s build 💪

One of my favorite things about this video is how different everyone’s “favorite feature” is. Just shows how many parts of the workflow MaintainX actually touches.