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ALERTCalifornia

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uuid0057oot

Namestring
ALERTCalifornia
Legal namestring
Regents of the University of California
Company typeenum
Private
Founded yearint
2023
Descriptiontext

ALERTCalifornia is a public safety research program operated by the University of California San Diego (under the Regents of the University of California) that maintains a statewide network of more than 1,200 high-definition pan-tilt-zoom cameras across California for real-time monitoring of wildfires, storms, floods, debris flows, and other natural hazards. The platform combines the physical camera network with an AI-powered fire detection tool co-developed with CAL FIRE and DigitalPath, infrared and hyperspectral imaging, aircraft- and drone-based LiDAR and multispectral sensing (covering 30,000 square miles of Tier 2 and Tier 3 fire threat regions), and an Esri ArcGIS Living Atlas map layer that distributes live feeds to 1M+ users globally. Cameras perform 360-degree sweeps approximately every two minutes with near-infrared night vision, viewing up to 60 miles by day and 120 miles by night.

The program serves California state and local government fire and emergency management agencies (notably CAL FIRE's 21 911 Dispatch Centers, U.S. Forest Service, Cal OES, and county fire protection districts), federal land management agencies, three major investor-owned utilities (PG&E, SDG&E, Southern California Edison), and the general public. ALERTCalifornia's AI tool generated over 50% of its alerts before any 9-1-1 calls and supported approximately 3,600 wildfire incidents in 2025, with Microsoft collaboration now extending detection 10–30 minutes earlier than the existing platform.

The business model is non-profit academic research funded primarily through California state government appropriations — CAL FIRE has committed $20,277,000 over four years plus an additional $3,516,000 — supplemented by PG&E's initial AI sponsorship, technology partner contributions (Microsoft, Esri, Axis Communications, DigitalPath, Western Digital), and UC San Diego institutional support. Camera feeds, data, and the Esri map layer are provided free to government agencies, researchers, utilities, and the public; commercial use requires licensing negotiation through UC San Diego's Office of Innovation and Commercialization.

Short descriptiontext

ALERTCalifornia is a UC San Diego public safety program operating 1,200+ HD pan-tilt-zoom cameras and an AI fire-detection tool across California to provide real-time wildfire and natural hazard monitoring for CAL FIRE, federal, local, and utility partners, and the public.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
11–50
akta.pro rankint
HeadquartersSan Diego, United States
HQ citystring
San Diego
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Offices2 records

Each record includes

City, Country, Type, Description, Source

Keyword5 values
wildfire detection monitoring, AI fire detection, natural hazard monitoring, camera network platform, emergency situational awareness
Industry3 codes
1Fire Detection & Early Warning (Lookouts, Sensors, Aerial Patrol)
CodeAFAMAEAGPrimaryYes
2System Monitoring & Dispatch Services (Fire/CO Alarm Monitoring)
CodeHSAHAFAFPrimaryNo
3Emergency Communications, Alerting & Public Warning Systems
CodeHLAJAGAFPrimaryNo
NAICS code2 codes
  • Fire Protection92216
  • Security Systems Services56162
SIC code1 code
  • Measuring & Controlling Devices, Nec3829
Product category
Wildfire Detection and Natural Hazard Monitoring
GTM motion1 record

Each record includes

Type, Description, Source

Revenue model2 records
1Government Funding
TypeSubscription Recurring
Description

ALERTCalifornia is a public safety program funded primarily through government appropriations, CAL FIRE funding, and support from the Office of the California Governor. The program operates as a non-profit academic initiative at UC San Diego.

alertcalifornia.org
2Public-Private Partnerships
TypeProfessional Services
Description

Technology partnerships with companies like Microsoft, Esri, DigitalPath, and others contribute to program capabilities. Initial AI development was sponsored by PG&E. CAL FIRE invested $20,277,000 over four years plus $3,516,000 additional funding.

alertcalifornia.org
Marketing channels5 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels4 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Personnel, Technology or R&D, Infrastructure, Operations, Marketing or Sales
Pricing details1 tier
1Free public access to camera network and AI tools
ModelFreemiumBilling cadenceOthers
Notes

No cost for public access to view camera feeds. Open-source data available to all government agencies, researchers, utilities, and the general public. Commercial licensing available upon request.

alertcalifornia.org
GTM typeB2B
B2B
Offering typeServices
Services
Core offering1 text field

ALERTCalifornia operates a statewide network of more than 1,200 high-definition pan-tilt-zoom cameras across California that provides 24-hour near-infrared monitoring of wildfires, storms, floods, and other natural hazards. An AI Fire Detection Tool, developed with CAL FIRE and DigitalPath and deployed at all 21 CAL FIRE 911 Dispatch Centers, analyzes the camera feeds in real time and alerts firefighters with location and certainty estimates. Supporting capabilities include infrared and hyperspectral imaging, LiDAR/multispectral terrain data covering 30,000 square miles, edge computing for near-real-time frame rates, and an Esri ArcGIS map layer for GIS integration by emergency managers.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 6 values shown
  • 50%+ of wildfire alerts generated before any 9-1-1 reports were received
+5 more records
Product overview1 text field

ALERTCalifornia is a multi-hazard public safety platform operated by UC San Diego that provides a unified system for wildfire and natural disaster monitoring, detection, and response across California. The core product is a statewide network of over 1,200 high-definition pan-tilt-zoom cameras providing 24-hour monitoring with AI-powered fire detection. The platform integrates this camera network with AI fire detection tools (developed with CAL FIRE and DigitalPath), infrared and hyperspectral imaging, LiDAR and multispectral remote sensing, and an Esri ArcGIS Living Atlas map layer for GIS integration. Additional modules include edge computing technology for near-real-time monitoring, change detection and landslide analysis for cascading disaster monitoring. The system processes data from cameras, sensors, and aircraft to provide actionable real-time information to emergency managers and support data-driven decisions for disaster preparation, response, and recovery.

Product and service3 records
1Natural Hazard Monitoring Camera Network
CategoryMonitoring Camera Network
Description

Statewide network of more than 1,200 high-definition pan-tilt-zoom cameras deployed across California providing 24-hour monitoring with near-infrared night vision. Cameras perform 360-degree sweeps approximately every two minutes and can view up to 60 miles on a clear day and 120 miles on a clear night, supporting wildfire, storm, flood, and debris flow detection.

2AI Fire Detection Tool
CategoryAI Detection Software
Description

AI-powered fire detection system co-developed with CAL FIRE and DigitalPath that analyzes camera feeds in real time to identify smoke and fire anomalies, alerting firefighters with percentage certainty and estimated location. Deployed at all 21 CAL FIRE 911 Dispatch Centers to reduce watchstander fatigue and confirm fires in the incipient phase.

3Esri ArcGIS Living Atlas Map Layer
Scale indicator10 records

Each record includes

Type, Value, Description, Source

Partnership14 partners
Strategic tierCoreTypeTechnology or IntegrationAnnounced on2026-02-03
Description

Collaboration to strengthen ALERTCalifornia's statewide camera network platform resilience, develop new AI approaches for natural disaster response, and explore the massive data archive for climate change impacts. Preliminary results show 10-30 minutes earlier wildfire detection. Microsoft is also providing secure cloud infrastructure and edge computing support.

Strategic tierCoreTypeTechnology or IntegrationAnnounced on2025-04-01
Description

GIS software company that integrated ALERTCalifornia's camera network into the ArcGIS Living Atlas of the World. The map layer shows camera locations, real-time viewsheds, and current imagery updated every 15 seconds. Over 470,000 views since launch and access to 1 million+ Esri users globally.

Strategic tierFlagshipTypeStrategic or Co-development PartnerAnnounced on2023-07-10
Description

Primary government partner in the ALERTCalifornia program. CAL FIRE invested $20,277,000 over four years plus $3,516,000 additional funding. The AI fire detection tool was deployed to all 21 CAL FIRE 911 Dispatch Centers in September 2023. Firefighters use the camera network and AI for early wildfire detection, situational awareness, and resource allocation.

Strategic tierCoreTypeTechnology or IntegrationAnnounced on2023-01-01
Description

Industry partner that co-developed the AI fire detection tool with ALERTCalifornia and CAL FIRE. The AI uses machine learning to differentiate between smoke and other particles, and continues to improve with CAL FIRE feedback after each detection.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2023-01-01
Description

Federal partner using ALERTCalifornia's camera network for coordinated wildfire response. The network provides real-time 24/7 fire detection intelligence supporting rapid action across local, state, tribal, and federal agencies.

Strategic tierFlagshipTypeStrategic or Co-development PartnerAnnounced on2023-01-01
Description

Primary academic partner hosting ALERTCalifornia's installation team, network managers, and research team. Falko Kuester serves as co-PI, contributing expertise in visualization, virtual reality, and big-data analytics.

7UC San Diego Scripps Institution of Oceanography
Strategic tierFlagshipTypeStrategic or Co-development PartnerAnnounced on2023-01-01
Description

Academic host for ALERTCalifornia. Principal Investigator Neal Driscoll is a professor of geology and geophysics at Scripps. Research interests include landscape evolution, seismology, and geohazards.

alertcalifornia.org
8UC San Diego Qualcomm Institute
Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2023-01-01
Description

UC San Diego research institute that houses part of the ALERTCalifornia team. Contributes to the cyberinfrastructure that processes, stores, manages, and visualizes data from camera installations.

alertcalifornia.org
Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2023-01-01
Description

Initial sponsor of the AI fire detection program. Utility partner with interest in fire detection near power infrastructure in California.

Strategic tierMinorTypeStrategic or Co-development PartnerAnnounced on2023-01-01
Description

Utility partner in the ALERTCalifornia network, using cameras to monitor fire-prone areas in their service territory.

Strategic tierMinorTypeStrategic or Co-development PartnerAnnounced on2023-01-01
Description

Utility partner collaborating on power infrastructure management and fire monitoring in Edison's service territory.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2023-01-01
Description

State emergency management agency utilizing the ALERTCalifornia camera layer in their mapping applications for real-time situational awareness during disasters.

Strategic tierMinorTypeStrategic or Co-development PartnerAnnounced on2023-01-01
Description

U.S. Geological Survey partner collaborating on natural hazard monitoring and research.

Strategic tierMinorTypeStrategic or Co-development PartnerAnnounced on2023-01-01
Description

State agency partner in the ALERTCalifornia consortium.

Recent move7 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Peers10 records
TypeEmerging player
Description

A geospatial analytics company that applies machine learning to satellite imagery for wildfire, agriculture, and supply chain applications. Comparable in AI-over-geospatial-data capabilities and customer overlap (government, agriculture, insurance), though it is a private commercial platform rather than a public-safety program.

TypeBroad incumbent
Description

The dominant GIS software vendor whose ArcGIS Living Atlas already hosts ALERTCalifornia's camera layer and whose platform is used by virtually every U.S. fire agency. Comparable as both a current partner and broad incumbent that could plausibly internalize or replicate real-time wildfire camera layers as a feature of ArcGIS.

TypeOthers
Description

A geospatial software consultancy that builds AI/ML solutions on satellite and aerial imagery for government and commercial clients, including wildfire response work. Comparable as a technical partner in the Earth observation and emergency response ecosystem overlapping with ALERTCalifornia's use of Esri, satellite, and AI workflows.

TypeEmerging player
Description

A non-profit wildfire alerting platform that aggregates data from fire agencies, satellites, and camera networks to push real-time alerts to citizens and agencies. Comparable because it overlaps in real-time wildfire alerting and uses ALERTCalifornia-style camera feeds, but its primary UX is a mobile alerting app rather than owned camera infrastructure.

TypeDirect peer
Description

A venture-backed startup that deploys AI-powered cameras on mountaintops for active wildfire detection, with a focus on utility and forest service customers. Closely comparable to ALERTCalifornia in product, customer type (utilities and fire agencies), and AI-detection value proposition, but operates as a for-profit commercial vendor.

TypeDirect peer
Description

ALERTCalifornia's direct predecessor program; a UC San Diego-led consortium operating a multi-state PTZ camera network across Nevada, Oregon, and Washington for wildfire detection. Highly comparable because it shares technology lineage, governance under UC San Diego, and the same mission of real-time wildfire monitoring for emergency managers.

TypeEmerging player
Description

Applies computer vision and geospatial AI to aerial imagery for property risk analytics, with a focus on insurance and utility wildfire exposure. Comparable in its use of aerial imagery and AI to assess wildfire risk for insurance and utility customers served by ALERTCalifornia's utility partners.

8Briq (Briq Technologies)
TypeEmerging player
Description

Provides wildfire simulation and risk modeling software used by utilities and government agencies to plan mitigation and response. Comparable in that it sits in the same wildfire-tech stack serving utilities and CAL FIRE-style agencies, complementing real-time detection with simulation.

TypeEmerging player
Description

Provides wildfire ignition detection technology (including 'Ting' sensors) for utilities and insurance carriers to monitor electrical infrastructure for fire risk. Comparable as an early-warning wildfire vendor serving utilities like PG&E and SDG&E — overlapping customers with ALERTCalifornia but using sensor rather than camera-based detection.

TypeEmerging player
Description

A wildfire intelligence company that combines AI, satellite, and ground data to deliver fire spread forecasts and risk analytics to utilities and government agencies. Comparable in that it serves the same utility/government buyers with AI-driven wildfire intelligence, though it leans toward prediction rather than real-time camera detection.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat6 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights7 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers5 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment4 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile3 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

Integration1 record

Each record includes

Title, Type, Description, Source

AI capability7 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature7 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles10 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

ALERTCalifornia

Wildfire Detection and Natural Hazard Monitoringalertcalifornia.org

ALERTCalifornia is a UC San Diego public safety program operating 1,200+ HD pan-tilt-zoom cameras and an AI fire-detection tool across California to provide real-time wildfire and natural hazard monitoring for CAL FIRE, federal, local, and utility partners, and the public.

What ALERTCalifornia does

ALERTCalifornia is a public safety research program operated by the University of California San Diego (under the Regents of the University of California) that maintains a statewide network of more than 1,200 high-definition pan-tilt-zoom cameras across California for real-time monitoring of wildfires, storms, floods, debris flows, and other natural hazards. The platform combines the physical camera network with an AI-powered fire detection tool co-developed with CAL FIRE and DigitalPath, infrared and hyperspectral imaging, aircraft- and drone-based LiDAR and multispectral sensing (covering 30,000 square miles of Tier 2 and Tier 3 fire threat regions), and an Esri ArcGIS Living Atlas map layer that distributes live feeds to 1M+ users globally. Cameras perform 360-degree sweeps approximately every two minutes with near-infrared night vision, viewing up to 60 miles by day and 120 miles by night.

The program serves California state and local government fire and emergency management agencies (notably CAL FIRE's 21 911 Dispatch Centers, U.S. Forest Service, Cal OES, and county fire protection districts), federal land management agencies, three major investor-owned utilities (PG&E, SDG&E, Southern California Edison), and the general public. ALERTCalifornia's AI tool generated over 50% of its alerts before any 9-1-1 calls and supported approximately 3,600 wildfire incidents in 2025, with Microsoft collaboration now extending detection 10–30 minutes earlier than the existing platform.

The business model is non-profit academic research funded primarily through California state government appropriations — CAL FIRE has committed $20,277,000 over four years plus an additional $3,516,000 — supplemented by PG&E's initial AI sponsorship, technology partner contributions (Microsoft, Esri, Axis Communications, DigitalPath, Western Digital), and UC San Diego institutional support. Camera feeds, data, and the Esri map layer are provided free to government agencies, researchers, utilities, and the public; commercial use requires licensing negotiation through UC San Diego's Office of Innovation and Commercialization.

ALERTCalifornia firmographics

Firmographics
Name
ALERTCalifornia
Legal name
Regents of the University of California
Website
https://alertcalifornia.org
Company type
Private
Founded year
2023
Operating status
Operating
Headcount range
11–50 employees
Short description
ALERTCalifornia is a UC San Diego public safety program operating 1,200+ HD pan-tilt-zoom cameras and an AI fire-detection tool across California to provide real-time wildfire and natural hazard monitoring for CAL FIRE, federal, local, and utility partners, and the public.
Ownership category
akta.pro rank

ALERTCalifornia industry classification

Industry
Product category
Wildfire Detection and Natural Hazard Monitoring
NAICS
Fire Protection (92216), Security Systems Services (56162)
SIC
Measuring & Controlling Devices, Nec (3829)
akta.pro primary industry
Fire Detection & Early Warning (Lookouts, Sensors, Aerial Patrol) (AFAMAEAG)
akta.pro secondary industries
System Monitoring & Dispatch Services (Fire/CO Alarm Monitoring) (HSAHAFAF), Emergency Communications, Alerting & Public Warning Systems (HLAJAGAF)

Keywords

  • Wildfire detection monitoring
  • AI fire detection
  • Natural hazard monitoring
  • Camera network platform
  • Emergency situational awareness

Where ALERTCalifornia is headquartered

Location

Headquarters

HQ city
San Diego
HQ country
United States
HQ region
North America

Offices2 records

Markets served

ALERTCalifornia business model

Business model
GTM type
B2B
Offering type
Services
Cost components
Personnel, Technology or R&D, Infrastructure, Operations, Marketing or Sales

Revenue model

  1. Government Funding: ALERTCalifornia is a public safety program funded primarily through government appropriations, CAL FIRE funding, and support from the Office of the California Governor. The program operates as a non-profit academic initiative at UC San Diego.
  2. Public-Private Partnerships: Technology partnerships with companies like Microsoft, Esri, DigitalPath, and others contribute to program capabilities. Initial AI development was sponsored by PG&E. CAL FIRE invested $20,277,000 over four years plus $3,516,000 additional funding.

Pricing tiers

ModelBillingPrice
FreemiumOthersFree public access to camera network and AI tools

Go-to-market motion1 record

Distribution channels4 records

Marketing channels5 records

ALERTCalifornia product offering

Product offering

Core offering

ALERTCalifornia operates a statewide network of more than 1,200 high-definition pan-tilt-zoom cameras across California that provides 24-hour near-infrared monitoring of wildfires, storms, floods, and other natural hazards. An AI Fire Detection Tool, developed with CAL FIRE and DigitalPath and deployed at all 21 CAL FIRE 911 Dispatch Centers, analyzes the camera feeds in real time and alerts firefighters with location and certainty estimates. Supporting capabilities include infrared and hyperspectral imaging, LiDAR/multispectral terrain data covering 30,000 square miles, edge computing for near-real-time frame rates, and an Esri ArcGIS map layer for GIS integration by emergency managers.

Product overview

ALERTCalifornia is a multi-hazard public safety platform operated by UC San Diego that provides a unified system for wildfire and natural disaster monitoring, detection, and response across California. The core product is a statewide network of over 1,200 high-definition pan-tilt-zoom cameras providing 24-hour monitoring with AI-powered fire detection. The platform integrates this camera network with AI fire detection tools (developed with CAL FIRE and DigitalPath), infrared and hyperspectral imaging, LiDAR and multispectral remote sensing, and an Esri ArcGIS Living Atlas map layer for GIS integration. Additional modules include edge computing technology for near-real-time monitoring, change detection and landslide analysis for cascading disaster monitoring. The system processes data from cameras, sensors, and aircraft to provide actionable real-time information to emergency managers and support data-driven decisions for disaster preparation, response, and recovery.

Differentiator

Problem solved

Functional benefit

Products and services

  • Natural Hazard Monitoring Camera Network Statewide network of more than 1,200 high-definition pan-tilt-zoom cameras deployed across California providing 24-hour monitoring with near-infrared night vision. Cameras perform 360-degree sweeps approximately every two minutes and can view up to 60 miles on a clear day and 120 miles on a clear night, supporting wildfire, storm, flood, and debris flow detection.
  • AI Fire Detection Tool AI-powered fire detection system co-developed with CAL FIRE and DigitalPath that analyzes camera feeds in real time to identify smoke and fire anomalies, alerting firefighters with percentage certainty and estimated location. Deployed at all 21 CAL FIRE 911 Dispatch Centers to reduce watchstander fatigue and confirm fires in the incipient phase.
  • Esri ArcGIS Living Atlas Map Layer

Quantifiable outcome

  • 50%+ of wildfire alerts generated before any 9-1-1 reports were received
  • +5 more outcomes

Companies that use ALERTCalifornia

Customer profile

Named customers5 records

Segments4 records

Ideal customer profiles3 records

ALERTCalifornia technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

Integration1 record

AI capability7 records

Feature7 records

ALERTCalifornia partnerships and signals

Strategic signal

Partnerships

14 partnerships are on record, tiered core, flagship and minor.

  • Microsoft AI for Good LabcoreTechnology or Integration · 3 February 2026Collaboration to strengthen ALERTCalifornia's statewide camera network platform resilience, develop new AI approaches for natural disaster response, and explore the massive data archive for climate change impacts. Preliminary results show 10-30 minutes earlier wildfire detection. Microsoft is also providing secure cloud infrastructure and edge computing support.
  • EsricoreTechnology or Integration · 1 April 2025GIS software company that integrated ALERTCalifornia's camera network into the ArcGIS Living Atlas of the World. The map layer shows camera locations, real-time viewsheds, and current imagery updated every 15 seconds. Over 470,000 views since launch and access to 1 million+ Esri users globally.
  • CAL FIREflagshipStrategic or Co-development Partner · 10 July 2023Primary government partner in the ALERTCalifornia program. CAL FIRE invested $20,277,000 over four years plus $3,516,000 additional funding. The AI fire detection tool was deployed to all 21 CAL FIRE 911 Dispatch Centers in September 2023. Firefighters use the camera network and AI for early wildfire detection, situational awareness, and resource allocation.
  • DigitalPathcoreTechnology or Integration · 1 January 2023Industry partner that co-developed the AI fire detection tool with ALERTCalifornia and CAL FIRE. The AI uses machine learning to differentiate between smoke and other particles, and continues to improve with CAL FIRE feedback after each detection.
  • U.S. Forest ServicecoreStrategic or Co-development Partner · 1 January 2023Federal partner using ALERTCalifornia's camera network for coordinated wildfire response. The network provides real-time 24/7 fire detection intelligence supporting rapid action across local, state, tribal, and federal agencies.
  • UC San Diego Jacobs School of EngineeringflagshipStrategic or Co-development Partner · 1 January 2023Primary academic partner hosting ALERTCalifornia's installation team, network managers, and research team. Falko Kuester serves as co-PI, contributing expertise in visualization, virtual reality, and big-data analytics.
  • UC San Diego Scripps Institution of OceanographyflagshipStrategic or Co-development Partner · 1 January 2023Academic host for ALERTCalifornia. Principal Investigator Neal Driscoll is a professor of geology and geophysics at Scripps. Research interests include landscape evolution, seismology, and geohazards.
  • UC San Diego Qualcomm InstitutecoreStrategic or Co-development Partner · 1 January 2023UC San Diego research institute that houses part of the ALERTCalifornia team. Contributes to the cyberinfrastructure that processes, stores, manages, and visualizes data from camera installations.
  • PG&EcoreStrategic or Co-development Partner · 1 January 2023Initial sponsor of the AI fire detection program. Utility partner with interest in fire detection near power infrastructure in California.
  • San Diego Gas & Electric (SDG&E)minorStrategic or Co-development Partner · 1 January 2023Utility partner in the ALERTCalifornia network, using cameras to monitor fire-prone areas in their service territory.
  • Southern California EdisonminorStrategic or Co-development Partner · 1 January 2023Utility partner collaborating on power infrastructure management and fire monitoring in Edison's service territory.
  • California Governor's Office of Emergency Services (Cal OES)coreStrategic or Co-development Partner · 1 January 2023State emergency management agency utilizing the ALERTCalifornia camera layer in their mapping applications for real-time situational awareness during disasters.
  • USGSminorStrategic or Co-development Partner · 1 January 2023U.S. Geological Survey partner collaborating on natural hazard monitoring and research.
  • California Natural Resources Agency (CNRA)minorStrategic or Co-development Partner · 1 January 2023State agency partner in the ALERTCalifornia consortium.

Scale indicators10 records

Recent moves7 records

Expansion highlights6 records

ALERTCalifornia competitors and assessment

Company assessment

Emerging players

  • Descartes Labs: A geospatial analytics company that applies machine learning to satellite imagery for wildfire, agriculture, and supply chain applications. Comparable in AI-over-geospatial-data capabilities and customer overlap (government, agriculture, insurance), though it is a private commercial platform rather than a public-safety program.
  • Watch Duty: A non-profit wildfire alerting platform that aggregates data from fire agencies, satellites, and camera networks to push real-time alerts to citizens and agencies. Comparable because it overlaps in real-time wildfire alerting and uses ALERTCalifornia-style camera feeds, but its primary UX is a mobile alerting app rather than owned camera infrastructure.
  • Cape Analytics: Applies computer vision and geospatial AI to aerial imagery for property risk analytics, with a focus on insurance and utility wildfire exposure. Comparable in its use of aerial imagery and AI to assess wildfire risk for insurance and utility customers served by ALERTCalifornia's utility partners.
  • Briq (Briq Technologies): Provides wildfire simulation and risk modeling software used by utilities and government agencies to plan mitigation and response. Comparable in that it sits in the same wildfire-tech stack serving utilities and CAL FIRE-style agencies, complementing real-time detection with simulation.
  • Whisker Labs: Provides wildfire ignition detection technology (including 'Ting' sensors) for utilities and insurance carriers to monitor electrical infrastructure for fire risk. Comparable as an early-warning wildfire vendor serving utilities like PG&E and SDG&E — overlapping customers with ALERTCalifornia but using sensor rather than camera-based detection.
  • Perimeter: A wildfire intelligence company that combines AI, satellite, and ground data to deliver fire spread forecasts and risk analytics to utilities and government agencies. Comparable in that it serves the same utility/government buyers with AI-driven wildfire intelligence, though it leans toward prediction rather than real-time camera detection.

Broad incumbents

  • Esri: The dominant GIS software vendor whose ArcGIS Living Atlas already hosts ALERTCalifornia's camera layer and whose platform is used by virtually every U.S. fire agency. Comparable as both a current partner and broad incumbent that could plausibly internalize or replicate real-time wildfire camera layers as a feature of ArcGIS.

Others

  • Element 84: A geospatial software consultancy that builds AI/ML solutions on satellite and aerial imagery for government and commercial clients, including wildfire response work. Comparable as a technical partner in the Earth observation and emergency response ecosystem overlapping with ALERTCalifornia's use of Esri, satellite, and AI workflows.

Direct peers

  • Pano AI: A venture-backed startup that deploys AI-powered cameras on mountaintops for active wildfire detection, with a focus on utility and forest service customers. Closely comparable to ALERTCalifornia in product, customer type (utilities and fire agencies), and AI-detection value proposition, but operates as a for-profit commercial vendor.
  • ALERTWildfire: ALERTCalifornia's direct predecessor program; a UC San Diego-led consortium operating a multi-state PTZ camera network across Nevada, Oregon, and Washington for wildfire detection. Highly comparable because it shares technology lineage, governance under UC San Diego, and the same mission of real-time wildfire monitoring for emergency managers.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat6 records

Key risks6 records

Key highlights7 records

Customer concentration

ALERTCalifornia social profiles

Digital presence

ALERTCalifornia financial estimates

Financial estimate

Revenue estimate

Valuation estimate

ALERTCalifornia leadership team

Management profile

Number of profiles

Profiles10 records

ALERTCalifornia funding detail

Funding detail

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

ALERTCalifornia M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about ALERTCalifornia

What does ALERTCalifornia do?

ALERTCalifornia operates a statewide network of more than 1,200 high-definition pan-tilt-zoom cameras across California that provides 24-hour near-infrared monitoring of wildfires, storms, floods, and other natural hazards. An AI Fire Detection Tool, developed with CAL FIRE and DigitalPath and deployed at all 21 CAL FIRE 911 Dispatch Centers, analyzes the camera feeds in real time and alerts firefighters with location and certainty estimates. Supporting capabilities include infrared and hyperspectral imaging, LiDAR/multispectral terrain data covering 30,000 square miles, edge computing for near-real-time frame rates, and an Esri ArcGIS map layer for GIS integration by emergency managers.

Is ALERTCalifornia a public or private company?

ALERTCalifornia is a private company. It is classified as state government owned and is currently operating.

When was ALERTCalifornia founded?

ALERTCalifornia was founded in 2023. It employs 11 to 50 people.

Where is ALERTCalifornia based?

ALERTCalifornia is headquartered in San Diego, United States, in the North America region.

How does ALERTCalifornia make money?

Two revenue lines are on record. Government Funding is the primary driver. The others are public-Private Partnerships.

Who are ALERTCalifornia's main competitors?

Emerging players on record are Descartes Labs, Watch Duty, Cape Analytics, Briq (Briq Technologies), Whisker Labs and Perimeter. Esri is listed as a broad incumbent. Element 84 is listed as an others. Direct peers are Pano AI and ALERTWildfire.

Does ALERTCalifornia have an API?

No public API is recorded for ALERTCalifornia.

What industry is ALERTCalifornia in?

ALERTCalifornia's product category is Wildfire Detection and Natural Hazard Monitoring. Its primary akta.pro industry code is AFAMAEAG, Fire Detection & Early Warning (Lookouts, Sensors, Aerial Patrol), with a secondary code of HSAHAFAF, System Monitoring & Dispatch Services (Fire/CO Alarm Monitoring). Its NAICS code is 92216 and its SIC code is 3829.

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Innovation News NetworkMicrosoft backs ALERTCalifornia AI system to detect California wildfires earlierMicrosoft is investing $5m in ALERTCalifornia, a UC San Diego program using AI and cameras to detect California wildfires early. The system, deployed in 2023, detected over 1,200 fires and identified incidents before 911 calls more than 30% of the time. The partnership aims to improve response times and expand the technology.San Diego Union-TribuneUC San Diego develops way to forecast when coastal landslides are imminentUC San Diego's Scripps Institution of Oceanography has developed a method using in-ground sensors, tiltmeters, and LiDAR to predict coastal landslides, successfully forecasting five landslides over a four-year study period ending last year. The most notable prediction came in April 2024 when scientists gave authorities two days' notice of a landslide at Del Mar Bluffs, which occurred and dumped roughly 200 tons of material onto the beach. The study recommends expanding the research across San Diego County and other California coastal areas, with Assemblymember Tasha Boerner securing $2.5 million in state funding and indicating the system could eventually integrate with ALERTCalifornia's wildfire monitoring network.Financial PostStatewide Camera Network and AI Advance Early Wildfire Detection Across CaliforniaAxis Communications announced its ongoing collaboration with the University of California San Diego's ALERTCalifornia program, which uses AI and a network of over 1,200 cameras to detect wildfires and support emergency response across California. In 2025, the system supported response efforts for approximately 3,600 wildfire incidents, with over 50% of alerts received before any 9-1-1 reports came in. The program involves collaboration with CAL FIRE, the U.S. Forest Service, local and state agencies, and technology partners to enhance wildfire detection, storm monitoring, and environmental observation.Business Wire BlogStatewide Camera Network and AI Advance Early Wildfire Detection Across CaliforniaAxis Communications announced its ongoing collaboration with the University of California San Diego's ALERTCalifornia program, a statewide wildfire detection initiative deploying over 1,200 AI-enabled cameras across California. In 2025, the system supported emergency response for approximately 3,600 wildfire incidents, with over 50% of alerts generated before any 9-1-1 reports were received. The program, which also monitors storms, floods, and debris flows, operates in partnership with CAL FIRE, the U.S. Forest Service, and other public safety agencies.Fast CompanyWestern states are installing AI cameras to detect wildfires earlyWestern U.S. states are rapidly deploying AI-powered smoke-detection cameras to identify wildfires earlier, with Pano AI's technology detecting 725 wildfires across the country last year, including the Diamond Fire in Arizona which was contained at just 7 acres. Arizona Public Service has installed nearly 40 AI cameras with plans to expand to 71 by summer's end, while Xcel Energy has deployed 126 cameras across Colorado with goals to cover seven of the eight states it serves. ALERTCalifornia operates a network of over 1,240 AI-enabled cameras across the state as record-breaking heat and poor snowpack intensify wildfire concerns in fire-prone regions.WebProNewsAI Watchtowers Spot Smoke First: Western States Race to Blanket Wildfire Zones with Smart CamerasWestern U.S. states and utilities are rapidly deploying AI-powered camera systems to detect wildfires earlier, with systems like those operated by Arizona Public Service and Xcel Energy cutting response times by up to 45 minutes compared to 911 calls. Pano AI, which caught 725 U.S. fires last year, charges $50,000 per camera yearly and is expanding across utilities and states, while ALERTCalifornia now operates over 1,200 cameras statewide with infrared capability reaching 120 miles at night. Despite proven results—containing Arizona's Diamond Fire at under 7 acres and enabling Cal Fire to roll trucks before calls arrived—challenges remain including high upfront costs, false positives, and limitations during extreme weather events like those seen in Los Angeles last year.The TribuneStates across the wildfire-prone Western US are using AI for early detectionStates across the wildfire-prone Western United States are deploying AI-powered smoke-detection camera systems to enable faster wildfire response and containment. Arizona Public Service, Xcel Energy, and California's ALERTCalifornia network have collectively installed thousands of AI cameras that can detect fires roughly 45 minutes faster than traditional 911 calls, with one blaze successfully contained at just 7 acres. While the technology has proven effective in detecting 725 wildfires last year, challenges remain including high costs of approximately $50,000 annually per camera, false alarms, and limitations during extreme weather events.CommunityforwardredlandsRedlands expands spring wildfire mitigation effortsThe city of Redlands, California is expanding its spring wildfire mitigation efforts in 2026 through its Community Wildfire Protection Plan, with new fuel reduction work, partnerships, and technology upgrades targeting the approximately 30% of the city located within state-designated fire hazard severity zones. The initiative includes coordination with CAL FIRE for vegetation clearing, partnerships with Southern California Edison on power infrastructure management, and collaboration with nonprofits including the Redlands Conservancy, Team Rubicon, and the American Red Cross. The city is also deploying Esri ArcGIS mapping tools and ALERTCalifornia camera systems to monitor fire-prone areas in real time.UC San Diego TodayNew Collaboration Expands Capabilities and Enhances Natural Disaster ResilienceALERTCalifornia, a public safety program at UC San Diego, announced a collaboration with Microsoft's AI for Good Lab to strengthen its statewide network of over 1,200 natural hazard monitoring cameras and enhance natural disaster response capabilities. Preliminary results show the partnership can improve wildfire detection by 10 to 30 minutes earlier than existing platforms, while also providing emergency managers with near-real-time recording capabilities and access to the program's extensive climate change data archive. The collaboration will also support environmental monitoring of endangered species and deploy new edge computing technology to improve camera frame rates from 20 seconds to one second per frame.SdbnNew Collaboration Expands Capabilities and Enhances Natural Disaster Resilience – San Diego Biotechnology NetworkALERTCalifornia announced a collaboration with Microsoft's AI for Good Lab to leverage its camera network and artificial intelligence capabilities for natural disaster preparation, response, and recovery. The partnership aims to foster innovation in using AI technology to enhance resilience against natural disasters. This collaboration represents a strategic alignment between a public monitoring network and a major technology company's AI research division.