Niantic: Bringing spatial intelligence to the industrial edge
Most AI tools live on screens and focus on office work. But most of the world’s economy still happens in physical spaces: factories, logistics yards, energy sites, and outdoor infrastructure.
Niantic is pushing its geospatial and “physical AI” technology into that gap, aiming to bring the kind of spatial mapping it built for games into industrial settings. By tying precise 3D maps of the real world to connected sensors and equipment at the edge, enterprises can track assets, guide field workers, and automate inspections directly in the environments where work happens, not just in back-office software. The goal is to turn industrial sites into data-rich, machine-readable spaces that AI systems can understand and act on in real time.
More from Technology
TL;DR: FLAG activated a subsea cable route between Chennai, India, and Singapore, according to Light Reading. The company said the route complements i...
Google reset Gemini quota counters to zero for free and paid users when it deployed a refreshed Gemini 3.5 Flash model in Antigravity, according to a...
Qualcomm and RCRTech announced a webinar about recent 3GPP progress toward 6G, focused on outcomes from RAN Plenary #112. TL;DR Qualcomm and RCRTech a...
TL;DR: Light Reading reported that telecom operators currently have enough network capacity to handle expected artificial intelligence traffic growth....
Cisco said at Cisco Live that artificial intelligence could at least triple network capacity demand within three years. TL;DR Cisco executives said AI...
Paste launched Paste MCP on June 2, 2026, adding Model Context Protocol support that connects Paste clipboard history to AI tools including Claude, Co...