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Pano

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uuid0000doi

Namestring
Pano
Legal namestring
Pano AI, Inc.
Websiteurl
pano.ai
Company typeenum
Private
Founded yearint
2019
Descriptiontext

Pano AI, Inc. is a San Francisco-based private company founded in 2019 that builds AI-powered wildfire detection and situational awareness infrastructure for utilities, fire agencies, and government organizations. Its core product, Pano Rapid Detect, consists of proprietary high-definition camera stations (6-megapixel dual-camera, 30x optical zoom, 360-degree panoramic views) deployed on high vantage points and monitored 24/7 by cloud-based deep-learning and computer-vision models trained to detect smoke and fire in both day and night conditions. Every AI detection is verified by a human analyst at the Pano Intelligence Center before alerts are pushed to customers, blending automation with human-in-the-loop quality control. The companion Pano 360 platform provides a unified situational awareness interface, integrating patented triangulation for incident GPS coordinates, real-time weather data, fire perimeter information, and custom map layers to coordinate response across utilities and first responders.

Pano monetizes primarily through annual camera subscriptions priced at approximately $50,000 per camera per year, with custom multi-year enterprise agreements and volume-based pricing for larger utility deployments. Go-to-market is enterprise field sales targeting investor-owned utilities, cooperatives, and public utility organizations in U.S. states including California, Colorado, Texas, Arizona, Minnesota, Wisconsin, Oklahoma, Utah, and New Mexico, plus Australian states (New South Wales, Victoria) and British Columbia via a Rogers channel partnership. Fire agencies and government organizations receive free access to Pano 360 and stations in their region as part of the offering, while landowners constitute a secondary segment. The company has raised $64 million total ($20M Series A led by Initialized Capital in September 2022; $44M Series B led by Giant Ventures in June 2025) and operates from San Francisco with a regional headquarters in Sydney, Australia.

Notable customers include Xcel Energy (126+ cameras deployed in Colorado with multi-state expansion), Austin Energy (full service-territory deployment), Arizona Public Service (~40 cameras scaling to 71), Avista, Portland General Electric, Puget Sound Energy, CORE Electric Cooperative, and federal agencies including the U.S. Bureau of Land Management, U.S. Forest Service, and U.S. Fish and Wildlife Service. The company reports 735 wildfire alerts sent in 2025 (over half before traditional 911 calls) and has received recognition from TIME (100 Most Influential Companies 2025), Fast Company (Most Innovative Companies 2026 - Sustainability; AI 20 for 2025), and MIT Technology Review (2024 Climate Tech Companies to Watch), while holding ISO/IEC 27001:2022 certification and six granted U.S. patents covering its detection technology.

Short descriptiontext

Pano AI builds AI-powered camera networks and cloud-based computer vision software for real-time wildfire detection and situational awareness, serving electric utilities, fire agencies, and government organizations across multiple U.S. states, Australia, and Canada on a per-camera annual subscription model.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
101–250
akta.pro rankint
HeadquartersSan Francisco, United States
HQ citystring
San Francisco
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Offices3 records

Each record includes

City, Country, Type, Description, Source

Keyword5 values
wildfire detection technology, AI-powered surveillance, computer vision monitoring, situational awareness platform, early warning systems
Industry4 codes
1Fire Detection & Early Warning (Lookouts, Sensors, Aerial Patrol)
CodeAFAMAEAGPrimaryYes
2System Monitoring & Dispatch Services (Fire/CO Alarm Monitoring)
CodeHSAHAFAFPrimaryNo
3Fire Alarm Monitoring & Dispatch
CodeBPAKAFACPrimaryNo
4Carbon Monoxide & Smoke Detection Monitoring Services
CodeHSAHAAAJPrimaryNo
NAICS code2 codes
  • Security Systems Services (except Locksmiths)561621
  • Security Systems Services56162
SIC code1 code
  • Services-Computer Integrated Systems Design7373
Product category
Wildfire Detection Technology
Social media profiles3 records
GTM motion2 records

Each record includes

Type, Description, Source

Revenue model2 records
1Annual Camera/System Subscription
TypeSubscription Recurring
Description

Annual subscription model charging approximately $50,000 per camera per year for the AI-powered wildfire detection system. Includes hardware (Pano Stations), software (Pano 360 platform), AI monitoring, human analyst review, and ongoing support.

livemint.com
2Enterprise Agreements
TypeSubscription Recurring
Description

Custom enterprise agreements with utilities, fire agencies, and government organizations. Pricing and terms vary by customer, typically multi-year contracts with volume-based pricing.

pano.ai
Marketing channels7 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
Technology or R&D, Personnel, Operations, Infrastructure, Marketing or Sales
Pricing details1 tier
1Per-camera annual subscription at approximately $50,000 per year
ModelUnit PricingBilling cadenceAnnual
Notes

Pricing is approximately $50,000 per camera annually. This includes the Pano Station hardware, Pano 360 platform access, AI monitoring, human analyst review, and ongoing support and training. Enterprise agreements are custom and may include multiple cameras with volume-based pricing.

livemint.com
GTM typeB2B
B2B
Offering typeSoftware
Software
Brand1 of 2 records shown
1Pano Rapid Detect
Description

AI-powered wildfire detection and real-time situational awareness platform for rapid response to wildfires.

pano.ai
+1 more record
Core offering1 text field

Pano sells an AI-powered wildfire detection and situational awareness solution that combines hardware camera stations (Pano Stations) with cloud-based computer vision software (Pano Rapid Detect) and a 360-degree operations platform (Pano 360). The system detects smoke at the earliest stages, triangulates GPS coordinates, and delivers verified alerts within minutes to utilities, fire agencies, governments, and landowners.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 7 values shown
  • Detects fires approximately 45 minutes faster than traditional 911 calls on average
+6 more records
Product overview1 text field

Pano AI offers a unified wildfire detection and situational awareness platform. The core product, Pano Rapid Detect, combines AI-powered camera stations with continuous 24/7 monitoring to detect smoke and wildfires in near real-time. Detections are verified by human analysts at the Pano Intelligence Center before confirmed incidents are sent to response partners. Pano 360 serves as the situational awareness component, providing a unified interface with real-time data integration including weather feeds, fire perimeters, and custom map layers for coordinated wildfire response.

Product and service1 record
1Pano Rapid Detect
Scale indicator8 records

Each record includes

Type, Value, Description, Source

Partnership4 partners
Strategic tierCoreTypeTechnology or IntegrationAnnounced on2026-02-04
Description

Strategic partnership to integrate Western Weather Group's weather station data—including wind speed, humidity, and temperature—directly into Pano AI's wildfire intelligence platform, Pano 360. The integration enables utilities and fire agencies to view hyperlocal weather conditions alongside wildfire detections in real time, accelerating critical decision-making during wildfire response. Xcel Energy, a customer of both companies, highlighted the partnership's value.

Strategic tierCoreTypeTechnology or IntegrationAnnounced on2026-02-03
Description

Strategic partnership to integrate wildfire risk modeling and real-time incident detection technologies. The collaboration aims to provide utilities and fire agencies with a unified operational view to improve wildfire response and decision-making by combining predictive risk modeling with real-time detection.

3The Wildfire Industry Collective
Strategic tierMinorTypeStrategic or Co-development PartnerAnnounced on2024-08-27
Description

Pano AI joined The Wildfire Industry Collective to help bring advanced technology to the frontline of wildland firefighting. The collective works to advance technology adoption and standards in the wildfire management industry.

globenewswire.com
Strategic tierRegionalTypeChannel Partner/ Reseller/ DistributorAnnounced on2023-09-21
Description

Rogers partnered with Pano AI to bring world-leading wildfire detection and prevention technology to British Columbia, Canada. This partnership enables deployment of AI-powered camera networks across Rogers' service territory.

Recent move7 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight7 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

University of California San Diego-operated network of pan-tilt-zoom wildfire detection cameras deployed across the western US. Direct competitor to Pano's camera-based detection approach, though ALERTWildfire is a public-sector/academic initiative without commercial software layers.

TypeDirect peer
Description

German-based satellite thermal infrared wildfire detection provider with its own constellation of small satellites. Competes with Pano in early wildfire detection but via space-based rather than ground-based cameras, and is also pursuing utility and forestry customers globally.

TypeDirect peer
Description

Germany-based IoT sensor company deploying multi-sensor (gas, temperature, humidity) detection units in forests for ultra-early wildfire ignition detection. Competes with Pano in the wildfire early-detection category but uses distributed chemical/environmental sensors rather than visual AI.

TypeEmerging player
Description

Provider of wildfire risk simulation and real-time incident prediction software used by utilities and fire agencies. Now an integration partner of Pano but historically a competitor in the broader wildfire intelligence software stack, addressing complementary predictive use cases.

TypeEmerging player
Description

Wildfire simulation, prescribed fire planning, and post-burn analysis platform serving utilities and land management agencies. Adjacent to Pano's situational awareness layer but focused on pre-incident planning and simulation rather than live detection.

TypeEmerging player
Description

Geospatial analytics company applying AI to satellite imagery for agriculture, mining, and environmental monitoring including wildfire. Comparable in its AI-on-imagery technical approach to Pano but operates purely from satellite data without deployed ground sensors.

7SilviaTerra
TypeEmerging player
Description

AI-driven forest inventory and wildfire risk assessment company serving utilities, timberland owners, and government agencies. Competes with Pano in the utility wildfire mitigation conversation but focuses on pre-incident risk modeling and forest data rather than live detection.

TypeEmerging player
Description

AI reinsurance company using deep learning to model wildfire and other climate risks for insurance carriers. Comparable in its climate-AI approach and overlapping in utility/insurance customer base, though focused on risk pricing rather than live detection.

TypeEmerging player
Description

Wildfire mitigation technology company deploying remote-controlled prescribed burning machines and AI-supported operations. Adjacent to Pano in the wildfire management ecosystem but addresses fuel reduction rather than early detection and response coordination.

TypeBroad incumbent
Description

Computer vision AI platform companies with wildfire/smoke detection modules that compete for utility and government budget share. Broader horizontal computer vision players with wildfire as one of many verticals versus Pano's category-specialized approach.

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 customers13 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

Integration2 records

Each record includes

Title, Type, Description, Source

AI capability3 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature5 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles12 records

Each record includes

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

No data
Compliance1 record

Each record includes

Name, Class, Description

Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds6 records

Each record includes

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

Investors16 records

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 →

Pano

Wildfire Detection Technologypano.ai

Pano AI builds AI-powered camera networks and cloud-based computer vision software for real-time wildfire detection and situational awareness, serving electric utilities, fire agencies, and government organizations across multiple U.S. states, Australia, and Canada on a per-camera annual subscription model.

What Pano does

Pano AI, Inc. is a San Francisco-based private company founded in 2019 that builds AI-powered wildfire detection and situational awareness infrastructure for utilities, fire agencies, and government organizations. Its core product, Pano Rapid Detect, consists of proprietary high-definition camera stations (6-megapixel dual-camera, 30x optical zoom, 360-degree panoramic views) deployed on high vantage points and monitored 24/7 by cloud-based deep-learning and computer-vision models trained to detect smoke and fire in both day and night conditions. Every AI detection is verified by a human analyst at the Pano Intelligence Center before alerts are pushed to customers, blending automation with human-in-the-loop quality control. The companion Pano 360 platform provides a unified situational awareness interface, integrating patented triangulation for incident GPS coordinates, real-time weather data, fire perimeter information, and custom map layers to coordinate response across utilities and first responders.

Pano monetizes primarily through annual camera subscriptions priced at approximately $50,000 per camera per year, with custom multi-year enterprise agreements and volume-based pricing for larger utility deployments. Go-to-market is enterprise field sales targeting investor-owned utilities, cooperatives, and public utility organizations in U.S. states including California, Colorado, Texas, Arizona, Minnesota, Wisconsin, Oklahoma, Utah, and New Mexico, plus Australian states (New South Wales, Victoria) and British Columbia via a Rogers channel partnership. Fire agencies and government organizations receive free access to Pano 360 and stations in their region as part of the offering, while landowners constitute a secondary segment. The company has raised $64 million total ($20M Series A led by Initialized Capital in September 2022; $44M Series B led by Giant Ventures in June 2025) and operates from San Francisco with a regional headquarters in Sydney, Australia.

Notable customers include Xcel Energy (126+ cameras deployed in Colorado with multi-state expansion), Austin Energy (full service-territory deployment), Arizona Public Service (~40 cameras scaling to 71), Avista, Portland General Electric, Puget Sound Energy, CORE Electric Cooperative, and federal agencies including the U.S. Bureau of Land Management, U.S. Forest Service, and U.S. Fish and Wildlife Service. The company reports 735 wildfire alerts sent in 2025 (over half before traditional 911 calls) and has received recognition from TIME (100 Most Influential Companies 2025), Fast Company (Most Innovative Companies 2026 - Sustainability; AI 20 for 2025), and MIT Technology Review (2024 Climate Tech Companies to Watch), while holding ISO/IEC 27001:2022 certification and six granted U.S. patents covering its detection technology.

Pano firmographics

Firmographics
Name
Pano
Legal name
Pano AI, Inc.
Website
https://pano.ai
Company type
Private
Founded year
2019
Operating status
Operating
Headcount range
101–250 employees
Short description
Pano AI builds AI-powered camera networks and cloud-based computer vision software for real-time wildfire detection and situational awareness, serving electric utilities, fire agencies, and government organizations across multiple U.S. states, Australia, and Canada on a per-camera annual subscription model.
Ownership category
akta.pro rank

Pano industry classification

Industry
Product category
Wildfire Detection Technology
NAICS
Security Systems Services (except Locksmiths) (561621), Security Systems Services (56162)
SIC
Services-Computer Integrated Systems Design (7373)
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), Fire Alarm Monitoring & Dispatch (BPAKAFAC), Carbon Monoxide & Smoke Detection Monitoring Services (HSAHAAAJ)

Keywords

  • Wildfire detection technology
  • AI-powered surveillance
  • Computer vision monitoring
  • Situational awareness platform
  • Early warning systems

Where Pano is headquartered

Location

Headquarters

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

Offices3 records

Markets served

Pano business model

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

Revenue model

  1. Annual Camera/System Subscription: Annual subscription model charging approximately $50,000 per camera per year for the AI-powered wildfire detection system. Includes hardware (Pano Stations), software (Pano 360 platform), AI monitoring, human analyst review, and ongoing support.
  2. Enterprise Agreements: Custom enterprise agreements with utilities, fire agencies, and government organizations. Pricing and terms vary by customer, typically multi-year contracts with volume-based pricing.

Pricing tiers

ModelBillingPrice
Unit PricingAnnualPer-camera annual subscription at approximately $50,000 per year

Go-to-market motion2 records

Distribution channels4 records

Marketing channels7 records

Pano product offering

Product offering

Core offering

Pano sells an AI-powered wildfire detection and situational awareness solution that combines hardware camera stations (Pano Stations) with cloud-based computer vision software (Pano Rapid Detect) and a 360-degree operations platform (Pano 360). The system detects smoke at the earliest stages, triangulates GPS coordinates, and delivers verified alerts within minutes to utilities, fire agencies, governments, and landowners.

Product overview

Pano AI offers a unified wildfire detection and situational awareness platform. The core product, Pano Rapid Detect, combines AI-powered camera stations with continuous 24/7 monitoring to detect smoke and wildfires in near real-time. Detections are verified by human analysts at the Pano Intelligence Center before confirmed incidents are sent to response partners. Pano 360 serves as the situational awareness component, providing a unified interface with real-time data integration including weather feeds, fire perimeters, and custom map layers for coordinated wildfire response.

Differentiator

Problem solved

Functional benefit

Brands

  • Pano Rapid Detect: AI-powered wildfire detection and real-time situational awareness platform for rapid response to wildfires.
  • Pano 360

Products and services

  • Pano Rapid Detect

Quantifiable outcome

  • Detects fires approximately 45 minutes faster than traditional 911 calls on average
  • +6 more outcomes

Companies that use Pano

Customer profile

Named customers13 records

Segments4 records

Ideal customer profiles3 records

Pano technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

Integration2 records

AI capability3 records

Feature5 records

Pano partnerships and signals

Strategic signal

Partnerships

Four partnerships are on record, tiered core, minor and regional.

  • Western Weather GroupcoreTechnology or Integration · 4 February 2026Strategic partnership to integrate Western Weather Group's weather station data—including wind speed, humidity, and temperature—directly into Pano AI's wildfire intelligence platform, Pano 360. The integration enables utilities and fire agencies to view hyperlocal weather conditions alongside wildfire detections in real time, accelerating critical decision-making during wildfire response. Xcel Energy, a customer of both companies, highlighted the partnership's value.
  • TechnosylvacoreTechnology or Integration · 3 February 2026Strategic partnership to integrate wildfire risk modeling and real-time incident detection technologies. The collaboration aims to provide utilities and fire agencies with a unified operational view to improve wildfire response and decision-making by combining predictive risk modeling with real-time detection.
  • The Wildfire Industry CollectiveminorStrategic or Co-development Partner · 27 August 2024Pano AI joined The Wildfire Industry Collective to help bring advanced technology to the frontline of wildland firefighting. The collective works to advance technology adoption and standards in the wildfire management industry.
  • RogersregionalChannel Partner/ Reseller/ Distributor · 21 September 2023Rogers partnered with Pano AI to bring world-leading wildfire detection and prevention technology to British Columbia, Canada. This partnership enables deployment of AI-powered camera networks across Rogers' service territory.

Scale indicators8 records

Recent moves7 records

Expansion highlights7 records

Pano competitors and assessment

Company assessment

Direct peers

  • ALERTWildfire: University of California San Diego-operated network of pan-tilt-zoom wildfire detection cameras deployed across the western US. Direct competitor to Pano's camera-based detection approach, though ALERTWildfire is a public-sector/academic initiative without commercial software layers.
  • OroraTech: German-based satellite thermal infrared wildfire detection provider with its own constellation of small satellites. Competes with Pano in early wildfire detection but via space-based rather than ground-based cameras, and is also pursuing utility and forestry customers globally.
  • Dryad Networks: Germany-based IoT sensor company deploying multi-sensor (gas, temperature, humidity) detection units in forests for ultra-early wildfire ignition detection. Competes with Pano in the wildfire early-detection category but uses distributed chemical/environmental sensors rather than visual AI.

Emerging players

  • Technosylva: Provider of wildfire risk simulation and real-time incident prediction software used by utilities and fire agencies. Now an integration partner of Pano but historically a competitor in the broader wildfire intelligence software stack, addressing complementary predictive use cases.
  • Simtable: Wildfire simulation, prescribed fire planning, and post-burn analysis platform serving utilities and land management agencies. Adjacent to Pano's situational awareness layer but focused on pre-incident planning and simulation rather than live detection.
  • Descartes Labs: Geospatial analytics company applying AI to satellite imagery for agriculture, mining, and environmental monitoring including wildfire. Comparable in its AI-on-imagery technical approach to Pano but operates purely from satellite data without deployed ground sensors.
  • SilviaTerra: AI-driven forest inventory and wildfire risk assessment company serving utilities, timberland owners, and government agencies. Competes with Pano in the utility wildfire mitigation conversation but focuses on pre-incident risk modeling and forest data rather than live detection.
  • Kettle: AI reinsurance company using deep learning to model wildfire and other climate risks for insurance carriers. Comparable in its climate-AI approach and overlapping in utility/insurance customer base, though focused on risk pricing rather than live detection.
  • BurnBot: Wildfire mitigation technology company deploying remote-controlled prescribed burning machines and AI-supported operations. Adjacent to Pano in the wildfire management ecosystem but addresses fuel reduction rather than early detection and response coordination.

Broad incumbents

  • IQT (In-Q-Tel) backed wildfire startups (e.g., Chooch AI): Computer vision AI platform companies with wildfire/smoke detection modules that compete for utility and government budget share. Broader horizontal computer vision players with wildfire as one of many verticals versus Pano's category-specialized approach.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat6 records

Key risks6 records

Key highlights7 records

Customer concentration

Pano social profiles

Digital presence

Pano compliance and trust

Trust signal

Compliance1 record

Pano financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Pano leadership team

Management profile

Number of profiles

Profiles12 records

Pano funding detail

Funding detail

Funding overview

Funding rounds6 records

Investors16 records

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

Pano 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 Pano

What does Pano do?

Pano sells an AI-powered wildfire detection and situational awareness solution that combines hardware camera stations (Pano Stations) with cloud-based computer vision software (Pano Rapid Detect) and a 360-degree operations platform (Pano 360). The system detects smoke at the earliest stages, triangulates GPS coordinates, and delivers verified alerts within minutes to utilities, fire agencies, governments, and landowners.

Is Pano a public or private company?

Pano is a private company. It is classified as venture growth investor backed and is currently operating.

When was Pano founded?

Pano was founded in 2019. It employs 101 to 250 people.

Where is Pano based?

Pano is headquartered in San Francisco, United States, in the North America region.

How does Pano make money?

Two revenue lines are on record. Annual Camera/System Subscription is the primary driver. The others are enterprise Agreements.

Who are Pano's main competitors?

Direct peers on record are ALERTWildfire, OroraTech and Dryad Networks. Emerging players are Technosylva, Simtable, Descartes Labs, SilviaTerra, Kettle and BurnBot. IQT (In-Q-Tel) backed wildfire startups (e.g., Chooch AI) is listed as a broad incumbent.

Does Pano have an API?

No public API is recorded for Pano.

What industry is Pano in?

Pano's product category is Wildfire Detection Technology. 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 561621 and its SIC code is 7373.

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Live signals
ABC4 UtahPANO AI cameras detect wildfires in remote areas and alert firefighters before fires growPANO AI's wildfire detection camera system identified a fire start in a remote area of Summit County, Utah, alerting firefighters through the company's incident center before the fire could grow. The early detection enabled crews to contain the blaze at just 0.1 acres, preventing what could have become a major wildfire requiring evacuations. PANO operates 10 stations in Utah and monitors over 50 million acres across 18 states, Canada, and Australia using AI trained on more than 50 billion images.ABC4 UtahAI wildfire detection camera identifies new fire start in remote area of Summit CountyAn AI wildfire detection camera system operated by Pano AI identified a lightning-caused fire on Lewis Peak in Summit County, Utah on Friday morning, allowing North Summit Fire Service District crews to respond quickly and extinguish the fire before afternoon heat and winds could increase fire activity. Firefighters hiked difficult terrain to reach the remote location and successfully stopped the fire from spreading in the canyon. The early detection capability highlights the growing role of AI-powered monitoring networks in wildfire prevention, with similar camera systems being installed across Utah's remote areas.POLITICOAs fire season looms, tech startups come calling in DCWildfire technology startups are conducting a coordinated lobbying campaign in Washington to secure federal funding and support for their AI cameras, drones, and detection systems as the West faces what forecasters warn could be a severe wildfire season. The sector, which has attracted over $3.5 billion in investment since 2012, is pushing for legislation including the Fix Our Forests Act and a $20 million annual research center while navigating a Trump administration that has rolled back climate policies but shown openness to fire tech. Key players including Pano AI, which held a Capitol demonstration and won an Air Force Academy contract, and Bridger Aerospace, founded by Sen. Tim Sheehy, are working to convert state-level pilot projects into sustained federal contracts.TechRoundExperts Share: What’s The Most Underrated American Startup Today?Experts named several American startups as underrated, including Bedrock Energy, Plurio, Pano AI, Cartwheel, Pave, Clay, and SpaceX. SpaceX's valuation exceeds $2 trillion, and Cartwheel reports 92% of students reported improved wellbeing. The article highlights these companies' impact beyond financial metrics.GlobeNewswirePano AI Expands Its Wildfire Offerings to Help Utilities and Emergency ManagersPano AI announced expanded wildfire detection and situational-awareness tools for utilities and emergency managers at EEI 2026. The expansion includes new AI models, predictive integrations, and a 2025 alert record of 735 vegetation fires. The company will showcase these capabilities at the Las Vegas convention.WBURAI is watching for wildfires across the drought-stricken WestAI-powered camera networks are detecting wildfires across the U.S. West, with Cal Fire's Alert California system spotting 915 fires before public reports in 2025. Pano AI monitors 50 million acres across 17 states, and Arizona Public Service expects 71 cameras by summer. Experts note AI's limitations and call for public data access.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.MintStates across the wildfire-prone Western US are using AI for early detection | MintStates across the wildfire-prone Western US are deploying AI-powered smoke-detection cameras for early wildfire identification, with utilities like Arizona Public Service and Xcel Energy installing dozens of cameras across their service territories. The technology, provided by companies such as Pano AI, can detect fires approximately 45 minutes faster than traditional 911 calls and has already helped contain blazes like the Diamond Fire before they spread beyond 7 acres. While adoption is growing, challenges remain including high costs (around $50,000 annually per camera) and limitations in populated areas and extreme weather conditions.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.BNNStates across the wildfire-prone Western U.S. are using AI for early detectionStates in the Western U.S. are deploying AI cameras for early wildfire detection, with Arizona Public Service having nearly 40 and Xcel Energy 126. Pano AI detected 725 U.S. wildfires last year, and the technology notifies about 45 minutes faster than 911 calls. Researchers are developing AI-based fire forecasting systems.