Elevation Craft

AI-Driven Wildland Mitigation & Response System

Agentic decision support for WUI preplanning, fireground intelligence, ICS operations, and resource coordination. Pick a simulated scenario, advance the operational clock, and watch eight specialist agents build the incident picture an Incident Commander would actually use.

This is a simulated portfolio demo. It is not an official emergency management tool and must not be used for live incident decisions.

Fire behavior, wind-shift mechanics, and spread geometry are modeled after the Lower North Fork (Mar 2012), Quarry (Jul 2024), Cameron Peak (Oct 2020), Hayman (Jun 2002), and Pine Gulch (Aug 2020) fires. Names, coordinates, callsigns, and structures are fictional.

Built by an engineer who runs calls: the design borrows ICS structure, Colorado Ready-Set-Go evacuation language, and WUI structure-triage thinking. Every agent output is simulated from structured mock data behind a clean runScenarioAnalysis() seam, so the same UI could later sit on real dispatch, weather, infrared-satellite, and fuels feeds — and push critical weather alerts to crew devices and radio.

Active incident

Pleasant Park Fire

18 ac0% contained
Threat: Elevated
Operational clock
T+0
Critical weather alertT+0 · NWS red-flag warning + Pleasant Park RAWS + GOES-18 / VIIRS IR fusion

RED FLAG: SW 22 g 37 mph, RH 7%, winds building toward forecast frontal shift

Auto-derived from fused RAWS weather and GOES-18 / VIIRS infrared hot-spot mapping at first size-up: cured GR2 grass and aligned SW wind/slope support a fast NE run. Analog: July 2024 Quarry Fire (Deer Creek Mesa) ran from a deputy discovery to ~100 acres in four hours under similar SW gusts and RH. Trend is for stronger gusts and a forecast NW frontal shift later this afternoon.

Pushed toCrew MDTsPagers / station alertingCmd & Tac radio (auto-voice)

Loading map…

  • Perimeter
  • Predicted spread
  • Day 2–3 outlook
  • Wind
  • Spot fire
  • Threatened
  • Exposure
  • Defensible
  • Est. origin

Simulated incident · mock GeoJSON

AI Incident Summary

Intel

Intel analyzing…

Weather & Wind-Shift Risk

SHIFT CAUTIONIntel

Intel analyzing…

Predicted Spread Window

moderate conf.Fire Behavior

Fire Behavior analyzing…

Structures Threatened

4/4 threatenedStructure Protection

Structure Protection analyzing…

Evacuation Trigger Zones

Evacuation

Evacuation analyzing…

Resource Recommendations

Logistics

Logistics analyzing…

Radio Traffic — ICS Update Draft

Comms

Comms analyzing…

Safety — LCES

CAUTIONSafety Officer

Safety Officer analyzing…

ICS Action Checklist

Safety Officer

Safety Officer analyzing…

Agent Orchestration

0/8
  1. Situation / Intel

    Synthesizes dispatch notes, weather, terrain, fuels, access, and known hazards into a current incident picture.

    Analyzing…
  2. Fire Behavior Analyst

    Estimates likely spread direction, rate-of-spread risk, spotting potential, and wind sensitivity from fuels, slope, and weather.

    Queued
  3. Structure Protection

    Triages threatened WUI clusters: driveway access, turnarounds, water supply limits, and defensible-space concerns.

    Queued
  4. Evacuation

    Recommends simulated Ready / Set / Go trigger zones and flags road-constraint and egress warnings.

    Queued
  5. Logistics

    Tracks engines, tenders, crews, dozers, and aircraft; manages staging, water supply, and supply-cache needs.

    Queued
  6. Communications

    Drafts ICS-style radio updates and stakeholder summaries; tracks channel assignments and coverage.

    Queued
  7. Safety Officer

    Flags LCES, escape routes, safety zones, snags, terrain traps, comms gaps, and weather-change hazards.

    Queued
  8. IC Copilot

    Synthesizes every agent output into a concise, decision-support briefing for the Incident Commander.

    Queued

IC Decision-Support Briefing

IC Copilot

IC Copilot synthesizing agent outputs…

System architecture

Ingestion · orchestration · human review · field outputs

The demo runs on mock data, but the shape is production-minded. Feeds normalize into a shared incident state, specialist agents analyze in parallel and synthesize through an IC Copilot, a human IC validates before anything leaves the truck, and outputs land in the formats the fireground already uses.

01

Data ingestion

Normalize the feeds an incident actually produces.

  • CAD / dispatch notes
  • RAWS + NWS spot weather
  • GOES-18 / VIIRS IR hot-spots
  • LANDFIRE fuels & terrain
  • WUI parcel / structure data
  • AVL resource positions
  • Field size-up reports
02

Agent orchestration

Eight specialists analyze in parallel, then synthesize.

  • Situation / Intel
  • Fire Behavior Analyst
  • Structure Protection
  • Evacuation
  • Logistics
  • Communications
  • Safety Officer
  • IC Copilot
03

Human review

The IC is the decision-maker. Nothing auto-executes.

  • IC validates every finding
  • Confidence surfaced per output
  • Edit before it leaves the truck
  • Full provenance on each claim
04

Field outputs

Decision support in the formats the fireground uses.

  • ICS-style radio updates
  • Critical weather alerts → MDTs / pagers / auto-voice radio
  • Evacuation recommendations
  • Resource orders & staging
  • Structure triage list
  • Exportable IC briefing

What this is, and is not

This is a portfolio demonstration of agentic orchestration applied to a domain I know from the other side of the radio. It shows how a multi-agent system can turn raw incident signal into a structured, reviewable decision-support picture — with confidence surfaced and a human in the loop on every output.

The agents are simulated and deterministic. There is no live inference, no real incident data, and no operational guidance here.

This is a simulated portfolio demo. It is not an official emergency management tool and must not be used for live incident decisions.

Fire behavior, wind-shift mechanics, and spread geometry are modeled after the Lower North Fork (Mar 2012), Quarry (Jul 2024), Cameron Peak (Oct 2020), Hayman (Jun 2002), and Pine Gulch (Aug 2020) fires. Names, coordinates, callsigns, and structures are fictional.