Pikes Peak Adopts AI for Wildfire Planning

In the shadow of Pikes Peak, where the threat of wildfire is an ever-present specter, a new digital guardian has arrived, promising to rewrite the script of disaster.

“No one should die in a disaster,” proclaims the stark, powerful tagline of Ladris, a California-based startup whose artificial intelligence-driven software is now being embraced by the Pikes Peak Office of Emergency Management (PPROEM).

It’s a bold assertion, but one that speaks to the profound hope pinned on a burgeoning field where algorithms meet the inferno.

Ladris, the brainchild of 26-year-old UC Berkeley graduate Leo Zlimen and his college roommate, represents a significant leap in emergency preparedness.

Their vision, born in the wildfire-prone landscape of Nevada City, California, is disarmingly simple yet profoundly complex: to find “a path where everyone gets out in a reasonable amount of time.”

For Andrew Notbohm, director of PPROEM, this isn’t just about faster routes; it’s about challenging deeply ingrained assumptions.

His office, having trained dozens of local fire and police agencies on the Ladris platform, is integrating the software into its wildfire evacuation planning this year, aiming to outwit the unpredictable, wind-driven nature of the region’s most formidable threat.

The genius of Ladris lies in its ability to construct a “digital twin” of reality.

It models traffic patterns, factoring in population levels and vehicle density, allowing emergency planners to simulate evacuations and pinpoint potential bottlenecks and chokepoints before a single ember ignites.

This virtual sandbox allows for endless scenario testing, a critical advantage in an environment where every second counts.

Palmer Lake Fire Department Chief John Vincent, for instance, recently put Ladris to the test, simulating an evacuation during his small town’s Fourth of July celebration – an event that swells its population by thousands.

With only three cardinal directions and a handful of roads leading out of town, Vincent admits his options are inherently limited.

For him, the software isn’t a magic bullet but a powerful “thought process” aid, helping to visualize and refine strategies in a low-stakes environment.

Yet, the concept of using technology to map escape routes isn’t entirely new.

The Fast Local Emergency Evacuation Times Model (FLEET), operated by Old Dominion University, has long offered public access to similar data analysis, as demonstrated by The Gazette in 2022 when it highlighted Evergreen’s alarmingly long evacuation times.

What sets Ladris apart, and justifies its hefty $100,000-plus price tag for an 18-month contract, is its intuitive user interface and dynamic operational capacity.

Notbohm praises its nimbleness, suggesting it could even be deployed in real-time during an unfolding disaster.

Unlike the “clunky” and static nature of older software, Ladris is “intuitive,” allowing users to “be running scenarios and understanding what they mean” almost immediately.

Beyond the tech, Notbohm values the human element: the company’s commitment to support, updates, and validation, ensuring that if questions arise, “someone will pick up the phone.”

Despite the technological marvel, the real world remains stubbornly complex.

Chief Vincent, while valuing Ladris for planning, acknowledges that “there’s no absolute when the incident presents itself.”

The chaotic, dynamic nature of a live emergency means his department will ultimately rely on human experience, training, and the improvisational skills honed under pressure.

The software is a powerful tool, but it is not, and perhaps never can be, a replacement for the nuanced judgment of those on the ground.

This brings us to a simmering debate over transparency and public access.

Currently, Ladris is an operational tool exclusively for PPROEM and its partner agencies.

The public, and even most public officials outside emergency management circles, are kept out of the loop.

This decision deeply disappoints Dana Duggan, founder of the local political nonprofit Integrity Matters and a former leader of Westside Watch, an organization advocating for the integration of wildfire-evacuation data into urban planning.

“I guess anything’s better than nothing, but it’s pointless unless you’re going to use it,” she laments, implying that the data’s true value is diminished if not shared widely to inform public behavior and urban development.

However, emergency management officials hold a different view, rooted in the very unpredictability of disaster.

Notbohm argues that keeping evacuation plans less rigidly defined for the public maintains crucial flexibility.

Manitou Springs, for example, refrains from publishing evacuation plans precisely because of the “inherently unpredictable behavior of wildfires.”

Chief Vincent echoes this sentiment, explaining that while Palmer Lake officials map out scenarios, they cannot “solidify to the public every action the town might take.”

The plan, he insists, is “ever-evolving,” and much of it resides “in my head.”

Notbohm assures that PPROEM will “come up with some messaging” once their review process is complete, but the underlying tension between public right-to-know and operational agility in crisis management remains palpable.

As Pikes Peak grapples with the ever-present threat of wildfire, the adoption of Ladris marks a significant step into the future of emergency preparedness.

It’s a testament to the power of artificial intelligence to model chaos, to challenge assumptions, and to offer new pathways to safety.

Yet, it also underscores the enduring truth that even the most sophisticated algorithms are but instruments in the hands of human decision-makers, navigating a world where the unpredictable often trumps the planned, and where the delicate balance between transparency and flexibility continues to define the very art of saving lives.