Technosylva and Pano AI announce technical integration for wildfire decisions
Iain Hoey
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Wildfire integration aims to connect forecasts and live incident context
Technosylva and Pano AI have announced a partnership to integrate their systems to provide a unified view of wildfire risk and active incidents for utilities, fire agencies and first responders.
In a joint announcement, the companies said the integration will combine Technosylva’s predictive wildfire risk and event analysis with Pano AI’s live camera views and ignition intelligence.
The companies said they are building technical integrations that bring Pano AI’s visual confirmation of smoke and incident intelligence into Technosylva’s wildfire risk and modelling software.
The integration is also intended to allow Technosylva simulations and projections to appear within Pano AI’s incident management environment.
The companies said the goal is to move teams away from separate systems and fragmented context towards a shared operating picture that links current conditions with projected changes.
Planned workflow for utilities and agencies
Michael McGuire, Chief Commercial Officer at Technosylva, said: “We’re working to make it easier for utilities and agencies to align on the same operating picture – pairing the industry standard for predictive wildfire modeling with live AI-enabled incident visibility so teams can coordinate earlier and act with greater confidence as conditions change.”
“When you can see risk and projected behavior alongside verified, real-time incident context, it strengthens decision-making across planning, operations, and response.”
Arvind Satyam, Co-Founder and Chief Commercial Officer at Pano AI, said: “Early detection and shared situational awareness are critical to reducing time to response and improving coordination.”
“By connecting Pano’s visual intelligence and situational awareness with Technosylva’s predictive analysis, we’re helping teams bring together what they’re seeing now with what the data suggests could unfold next – so they can plan resources, communicate clearly, and respond more effectively.”
Paul McGregor, Vice President of Wildfire Risk Management at Xcel Energy, said: “Bringing Technosylva’s predictive modeling together with Pano AI’s real-time visibility helps our teams connect risk conditions with what’s actually unfolding in the field.”
“That shared picture can improve coordination across our operations and with responding agencies–supporting faster, more confident decisions as incidents evolve.”
The companies said they will work with select mutual customers to validate deployments and refine integration milestones ahead of broader availability.
