MultiSensor AI to Debut Sub-2-Second Multi-Camera Thermal Monitoring at The Reliability Conference 2026

San Francisco, California--(Newsfile Corp. - May 14, 2026) - MultiSensor AI Holdings, Inc. (NASDAQ: MSAI) ("MSAI", "MultiSensor AI" or the "Company") today announced that it will exhibit at The Reliability Conference 2026 (the "2026 TRC") May 19-20th at the South San Francisco Conference Center, where it will demonstrate MSAI Connect running multiple simultaneous thermal camera feeds on a single unified dashboard with sub-2-second1 refresh - a latency threshold we believe the condition monitoring industry has not previously achieved at multi-feed scale.

While single-feed thermal monitoring at speed is a resolved problem in the industry, each additional camera feed added to a unified view compounds processing load. Most thermal condition monitoring platforms have historically responded by sacrificing latency to manage scale - increasing polling intervals to minutes, not seconds. With MSAI Connect, MultiSensor AI's cloud-based condition intelligence layer, there is no tradeoff: multiple thermal camera feeds with a sub-2-second refresh rate1 can be monitored simultaneously, from a single dashboard.

Visitors to Booth 29 will experience this live as a thermal camera mounted in the booth captures a real-time infrared feed of the surrounding space. Staff will demonstrate temperature differentials using props, such as hot coffee and cold ice, to illustrate the precision and speed of MSAI Connect under realistic conditions. The MSAI Connect platform, which unifies thermal, visual, vibration and acoustic sensing into a single condition intelligence layer, will also be available for in-depth walk-throughs.

"The reliability industry has depended on periodic improvements - not because operators wanted it that way, but because continuous monitoring at scale was technically difficult to achieve," said Asim Akram, CEO of MultiSensor AI. "What we are demonstrating at the 2026 TRC is fundamentally different: multiple simultaneous thermal feeds updating in near real time from a single unified view without sacrificing speed for scale. Such developments can change how reliability teams detect issues, respond to risk, and ultimately protect uptime across critical operations."

The Reliability Conference draws more than 1,000 maintenance, reliability and asset management professionals annually. Based on 2025 attendee data, 69 percent expected to increase reliability and asset management spending within 24 months, and 63 percent of attendees operated under a formal digital transformation mandate. MSAI's platform works alongside existing CMMS, BMS and SCADA systems, with no changes to standard workflows and no specialized training required to operate it.

"Getting a single thermal feed to refresh in near real time is not the hard part. Aggregating multiple feeds onto one dashboard and maintaining sub-2-second latency across all of them - while keeping the output actionable rather than just data-dense - is where previous approaches have broken down," said James Newman, Senior Director of Product Enablement at MultiSensor AI. "We built around that constraint specifically because we believe that is what industrial customers actually require: multiple assets, one view, and no latency penalty for scale."

Reliability and asset management professionals attending the 2026 TRC are invited to visit Booth 29 for a live demonstration.

Click here for the full press release published by MultiSensor AI