Las Vegas, NV — At CES, Mona presented a clear evolution of its artificial intelligence platform, moving from localized inspection tools to large-scale physical AI systems designed for battery safety, infrastructure evaluation, and industrial reuse.
Mona's CES presence builds on several years of engagement at the show and reflects the company's transition from pilot projects into broader commercial and public sector deployments.
From Proof of Concept to Physical AI at Scale
Mona representatives explained that earlier versions of the company's solution focused on localized inspection tasks. Over the past year, that approach has expanded into what the company now describes as a physical AI model.
"Last year, our solution focused mostly on local inspection," a Mona representative said. "This year, we expanded the physical AI area so we can inspect much larger areas using the same model."
This shift allows Mona's system to analyze larger battery installations, infrastructure zones, and industrial environments without relying on fragmented inspection workflows. For TechTimes readers, this marks a meaningful step from experimental AI into deployable inspection infrastructure.
Battery Inspection and Energy Infrastructure Use Cases
A major focus for Mona at CES was battery inspection and lifecycle management. The company has been working with multiple partners exploring AI-based solutions for battery safety, quality control, and reuse.
"We are working with companies that want solutions for battery inspection," the representative explained, referencing projects related to battery cells, modules, and packs.
By expanding its inspection coverage area, Mona's system can now assess battery packs and facilities at scale, supporting both manufacturing quality checks and post-use evaluation.
From a TechTimes perspective, this capability is increasingly relevant as electric vehicles, energy storage systems, and industrial batteries reach second life and recycling stages.
Collaboration with the Public Sector and Regional Expansion
Mona also highlighted discussions with public sector organizations, including projects connected to the State of Nevada.
"We suggested two projects with the State of Nevada," the representative said. "One is related to battery testing and inspection facilities, and another focuses on reusing battery packs for infrastructure like data centers."
One proposed application involves evaluating used battery packs for safe reuse, while another explores deploying battery systems to support long-term power needs near major technology hubs.
This public sector engagement signals Mona's ambition to move beyond enterprise pilots into regional and infrastructure-level deployments.
What Sets Mona Apart
From a TechTimes editorial standpoint, Mona stands out for three reasons
- A shift from localized AI inspection to scalable physical AI systems
- A strong focus on battery safety, reuse, and lifecycle analysis
- Early engagement with the public sector and infrastructure-level projects
Rather than positioning AI as a purely digital tool, Mona is applying intelligence directly to physical environments where safety, accuracy, and scale matter.
A Forward-Looking CES Presence
Looking ahead, Mona plans to deepen its presence in North America and continue expanding its inspection platform across energy, infrastructure, and industrial markets.
"Our next step is preparing local expansion and building stronger partnerships," the representative said, pointing to continued collaboration with regional stakeholders.
For TechTimes readers following applied AI and energy technology trends, Mona's CES presence reflects a growing category of companies using AI not for abstract automation, but for solving concrete, safety-critical problems. As battery systems become central to transportation and energy infrastructure, scalable physical AI inspection may prove essential, and Mona is positioning itself early in that transition.
ⓒ 2026 TECHTIMES.com All rights reserved. Do not reproduce without permission.
