Developer docs
API playgroundTry for free, no card

Search company profiles

ZZapp Malaria

Full company profile

uuid000jval

Namestring
ZZapp Malaria
Legal namestring
ZMART
Company typeenum
Private
Founded yearint
2016
Descriptiontext

Zzapp Malaria (legal entity: ZMART) is an Israel-based for-profit software company founded in 2016 that builds an AI-powered platform for planning and executing malaria elimination operations, primarily for government health ministries and malaria control NGOs in sub-Saharan Africa. The company's core product is a two-component system: a web-based operations dashboard and a map-based mobile application that delivers AI-generated elimination strategies directly to field workers, with offline capability and GPS-tagged data capture. Its underlying technology uses convolutional neural networks to analyze satellite imagery and topographical maps in order to predict the location of water bodies suitable for mosquito reproduction and to identify malaria transmission hotspots by overlaying these with population density data; a weather analysis module co-developed with IBM's Data Science and AI Elite team further optimizes the timing of interventions.

The company's business model is based on software licensing and services delivered through direct partnerships with national malaria control programs, ministries of health, and established malaria control organizations rather than commercial sales. Revenue mechanics are not publicly disclosed, and operations appear to be funded primarily through non-dilutive prize capital (the $3M IBM Watson AI XPRIZE grand prize in June 2021 and the $250K Cisco Global Problem Solver Challenge grand prize in August 2021) and grant-funded research collaborations with bodies such as IVCC and the Bill and Melinda Gates Foundation. Named customer engagements span São Tomé and Príncipe (flagship countrywide elimination), Ghana via AGAMal (Obuasi operation protecting over 200,000 people), Mozambique (NMCP pilot launched March 2022), and Zanzibar (drone-integrated Spatial Intelligence System). With 1-10 employees and no disclosed commercial revenue, the company remains in an early commercialization phase, scaling primarily through government and NGO program partnerships.

Short descriptiontext

Zzapp Malaria is an Israel-based software company that uses AI to analyze satellite imagery and field data for malaria elimination, serving government health ministries and malaria control NGOs in sub-Saharan Africa via a web dashboard and mobile app.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
1–10
akta.pro rankint
HeadquartersTel Aviv, Israel
HQ citystring
Tel Aviv
HQ countrystring
Israel
HQ regionstring
Middle East
Markets served

Serves global market

Keyword5 values
malaria elimination software, vector control platform, AI disease surveillance, public health analytics, larviciding operations system
Industry3 codes
1Vector-Borne Disease Surveillance & Control
CodeHLAJABAGPrimaryYes
2Mosquito & Tick Control
CodeIMAIAHAIPrimaryNo
3Satellite Imagery & Remote Sensing Geospatial Platforms
CodeBPAMANAMPrimaryNo
NAICS code2 codes
  • Computer Systems Design Services541512
  • Geophysical Surveying and Mapping Services54136
SIC code1 code
  • Services-Prepackaged Software7372
Product category
Malaria Elimination Software
GTM motion1 record

Each record includes

Type, Description, Source

Revenue model1 record
1Software Licensing and Services
TypeLicensing Royalties
Description

Zzapp provides its AI-powered software system and mobile app to government malaria control programs and organizations. Revenue appears to come from licensing the technology platform and potentially providing implementation/support services for larviciding operations.

zzappmalaria.com
Marketing channels5 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels2 records

Each record includes

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

Cost components5 values
Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure
GTM typeB2B
B2B
Offering typeSoftware
Software
Core offering1 text field

Zzapp Malaria develops an AI-powered software platform that analyzes satellite imagery and topographical maps to identify malaria transmission hotspots, then delivers optimized larviciding strategies directly to field workers via a map-based mobile app. The system combines computer vision for water body detection, weather-based timing optimization, and population density analysis to guide targeted mosquito breeding-site treatment, with field data syncing back to an operations dashboard for managers.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 8 values shown
  • 74.9% mosquito population reduction in São Tomé operation
+7 more records
Product overview1 text field

Zzapp Malaria offers a unified software system consisting of two integrated components: the Zzapp System (web-based platform and dashboard for planning, analysis, and operations management) and the Zzapp Mobile App (field worker application for receiving AI strategies and reporting water body mapping and treatment data). The system uses AI to analyze satellite imagery and topographical data to identify malaria transmission hotspots and optimize elimination strategies, delivering recommendations directly to field workers through the mobile app while syncing field data back for continuous algorithm improvement.

Product and service2 records
1Zzapp System
CategoryOperations Management Software
Description

Web-based platform for planning, analyzing satellite imagery, and managing larviciding operations, providing operations managers with real-time visibility into field coverage and worker assignment.

2Zzapp Mobile App
CategoryField Operations Mobile Application
Description

Map-based mobile application that conveys AI-generated malaria elimination strategies to field workers as simple instructions, capturing GPS, photos, size, and characteristics of each water body, with offline capability and sync when connection is available.

Scale indicator12 records

Each record includes

Type, Value, Description, Source

Partnership13 partners
1International Centre of Insect Physiology and Ecology (ICIPE)
Strategic tierMajorTypeStrategic or Co-development PartnerAnnounced on2021-06-23
Description

Research partner collaborating on demonstrating effectiveness of app-guided control of mosquito breeding sites. Worked with Dr. Abebe Asale on alternative malaria control methods.

zzappmalaria.com
Strategic tierCoreTypeTechnology or Integration
Description

IBM Watson sponsored the $5M AI XPRIZE competition. The IBM Data Science and AI Elite team developed weather analysis modules for Zzapp's system in collaboration with Zzapp, improving temporal optimization of interventions.

Strategic tierMajorTypeStrategic or Co-development Partner
Description

Research partner and collaborator in malaria control efforts.

Strategic tierMajorTypeStrategic or Co-development Partner
Description

Research partner collaborating on Zanzibar Spatial Intelligence System project involving drone detection of mosquito breeding sites.

Strategic tierMajorTypeStrategic or Co-development Partner
Description

Collaboration partner in Mozambique vector control pilot launched March 2022, working with NMCP and CISM.

Strategic tierMajorTypeStrategic or Co-development Partner
Description

Research partner in Mozambique collaboration for vector control pilot in Maputo.

7Mozambique Ministry of Health
Strategic tierMajorTypeStrategic or Co-development Partner
Description

Government partner for nationwide malaria elimination scaling following successful Maputo pilot.

zzappmalaria.com
8São Tomé and Príncipe Ministry of Health
Strategic tierFlagshipTypeStrategic or Co-development Partner
Description

Primary government partner for ambitious countrywide malaria elimination project targeting complete elimination within two years.

zzappmalaria.com
Strategic tierMajorTypeStrategic or Co-development Partner
Description

Research partner in Zanzibar project using drones for mosquito breeding site detection.

Strategic tierMajorTypeStrategic or Co-development Partner
Description

Research partner in Zanzibar Spatial Intelligence System project.

Strategic tierMajorTypeStrategic or Co-development Partner
Description

Government partner implementing drone-powered mosquito breeding site detection integrated with Zzapp system.

Strategic tierFlagshipTypeStrategic or Co-development Partner
Description

Leading malaria control organization in Ghana; collaboration since 2017 for house spraying and larviciding operations in Obuasi protecting 200,000+ people.

Strategic tierMinorTypeOthers
Description

Listed as a funder and partner organization.

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight5 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

Akros uses geospatial data and satellite imagery to support malaria and neglected tropical disease control programs in Africa, including water/sanitation mapping for vector control. Closest direct comparable — both apply GIS/satellite analytics to government-led NTD elimination, serving similar ministry-of-health buyers.

TypeDirect peer
Description

Dimagi's CommCare platform powers mobile data collection and frontline worker workflows for health and development programs across 80+ countries. Comparable in deploying offline-capable mobile apps to government and NGO field workers in low-resource settings, though Dimagi serves broader health verticals beyond vector control.

TypeBroad incumbent
Description

Esri's ArcGIS platform underpins much of the world's public-health mapping, including malaria surveillance, with tools for hotspot analysis and field-data integration. Comparable as the dominant geospatial layer for vector-control programs; Zzapp layers purpose-built AI and field execution on top of similar underlying GIS capabilities.

TypeDirect peer
Description

Nexleaf Analytics builds data and sensor solutions for global-health programs, including vaccine cold-chain monitoring and disease surveillance in low- and middle-income countries. Comparable in applying data-driven software to LMIC public-health missions funded by Gates and similar donors.

TypeBroad incumbent
Description

Palantir provides large-scale data integration and analytics platforms used by governments and public-health agencies for outbreak response and disease surveillance. Comparable as a software/data-platform incumbent serving health ministries; Zzapp is a verticalized specialist that Palantir could conceivably displace or partner with.

TypeBroad incumbent
Description

Maxar is a leading provider of high-resolution satellite imagery used in humanitarian, environmental, and public-health applications. Comparable as an upstream satellite-imagery supplier that underpins Zzapp's CNN-based water-body detection, though Maxar sells raw imagery rather than finished malaria-elimination workflows.

TypeEmerging player
Description

Descartes Labs operates a geospatial analytics platform that fuses satellite imagery with AI for agriculture, sustainability, and supply-chain applications. Comparable in applying ML to satellite data for societal-impact use cases, though Descartes Labs is more diversified across commercial verticals than malaria-specific.

TypeRegional player
Description

Zipline operates drone-based medical delivery networks across several African countries, including Rwanda and Ghana. Comparable as a venture-backed drone/logistics company addressing African public-health infrastructure; not a direct competitor but a peer in attracting impact capital and government partnerships in the region.

TypeEmerging player
Description

Baobab Health develops open-source digital health systems deployed in Malawi and other African countries, including electronic medical records and patient management for HIV and TB. Comparable in building digital-health software tailored to resource-constrained African ministries of health.

10Medic (formerly Medic Mobile)
TypeEmerging player
Description

Medic builds open-source mobile tools for community health workers across Africa and Asia, covering antenatal care, child health, and disease surveillance. Comparable in providing offline-capable field-worker apps for government health programs, though Medic focuses on community-health workflows rather than vector control.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat5 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 customers4 records

Each record includes

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

Segment3 records

Each record includes

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

Ideal customer profile2 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

AI capability6 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
Profiles1 record

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 →

ZZapp Malaria

Malaria Elimination Softwarezzappmalaria.com

Zzapp Malaria is an Israel-based software company that uses AI to analyze satellite imagery and field data for malaria elimination, serving government health ministries and malaria control NGOs in sub-Saharan Africa via a web dashboard and mobile app.

What ZZapp Malaria does

Zzapp Malaria (legal entity: ZMART) is an Israel-based for-profit software company founded in 2016 that builds an AI-powered platform for planning and executing malaria elimination operations, primarily for government health ministries and malaria control NGOs in sub-Saharan Africa. The company's core product is a two-component system: a web-based operations dashboard and a map-based mobile application that delivers AI-generated elimination strategies directly to field workers, with offline capability and GPS-tagged data capture. Its underlying technology uses convolutional neural networks to analyze satellite imagery and topographical maps in order to predict the location of water bodies suitable for mosquito reproduction and to identify malaria transmission hotspots by overlaying these with population density data; a weather analysis module co-developed with IBM's Data Science and AI Elite team further optimizes the timing of interventions.

The company's business model is based on software licensing and services delivered through direct partnerships with national malaria control programs, ministries of health, and established malaria control organizations rather than commercial sales. Revenue mechanics are not publicly disclosed, and operations appear to be funded primarily through non-dilutive prize capital (the $3M IBM Watson AI XPRIZE grand prize in June 2021 and the $250K Cisco Global Problem Solver Challenge grand prize in August 2021) and grant-funded research collaborations with bodies such as IVCC and the Bill and Melinda Gates Foundation. Named customer engagements span São Tomé and Príncipe (flagship countrywide elimination), Ghana via AGAMal (Obuasi operation protecting over 200,000 people), Mozambique (NMCP pilot launched March 2022), and Zanzibar (drone-integrated Spatial Intelligence System). With 1-10 employees and no disclosed commercial revenue, the company remains in an early commercialization phase, scaling primarily through government and NGO program partnerships.

ZZapp Malaria firmographics

Firmographics
Name
ZZapp Malaria
Legal name
ZMART
Website
https://zzappmalaria.com
Company type
Private
Founded year
2016
Operating status
Operating
Headcount range
1–10 employees
Short description
Zzapp Malaria is an Israel-based software company that uses AI to analyze satellite imagery and field data for malaria elimination, serving government health ministries and malaria control NGOs in sub-Saharan Africa via a web dashboard and mobile app.
Ownership category
akta.pro rank

ZZapp Malaria industry classification

Industry
Product category
Malaria Elimination Software
NAICS
Computer Systems Design Services (541512), Geophysical Surveying and Mapping Services (54136)
SIC
Services-Prepackaged Software (7372)
akta.pro primary industry
Vector-Borne Disease Surveillance & Control (HLAJABAG)
akta.pro secondary industries
Mosquito & Tick Control (IMAIAHAI), Satellite Imagery & Remote Sensing Geospatial Platforms (BPAMANAM)

Keywords

  • Malaria elimination software
  • Vector control platform
  • AI disease surveillance
  • Public health analytics
  • Larviciding operations system

Where ZZapp Malaria is headquartered

Location

Headquarters

HQ city
Tel Aviv
HQ country
Israel
HQ region
Middle East

Markets served

ZZapp Malaria business model

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

Revenue model

  1. Software Licensing and Services: Zzapp provides its AI-powered software system and mobile app to government malaria control programs and organizations. Revenue appears to come from licensing the technology platform and potentially providing implementation/support services for larviciding operations.

Go-to-market motion1 record

Distribution channels2 records

Marketing channels5 records

ZZapp Malaria product offering

Product offering

Core offering

Zzapp Malaria develops an AI-powered software platform that analyzes satellite imagery and topographical maps to identify malaria transmission hotspots, then delivers optimized larviciding strategies directly to field workers via a map-based mobile app. The system combines computer vision for water body detection, weather-based timing optimization, and population density analysis to guide targeted mosquito breeding-site treatment, with field data syncing back to an operations dashboard for managers.

Product overview

Zzapp Malaria offers a unified software system consisting of two integrated components: the Zzapp System (web-based platform and dashboard for planning, analysis, and operations management) and the Zzapp Mobile App (field worker application for receiving AI strategies and reporting water body mapping and treatment data). The system uses AI to analyze satellite imagery and topographical data to identify malaria transmission hotspots and optimize elimination strategies, delivering recommendations directly to field workers through the mobile app while syncing field data back for continuous algorithm improvement.

Differentiator

Problem solved

Functional benefit

Products and services

  • Zzapp System Web-based platform for planning, analyzing satellite imagery, and managing larviciding operations, providing operations managers with real-time visibility into field coverage and worker assignment.
  • Zzapp Mobile App Map-based mobile application that conveys AI-generated malaria elimination strategies to field workers as simple instructions, capturing GPS, photos, size, and characteristics of each water body, with offline capability and sync when connection is available.

Quantifiable outcome

  • 74.9% mosquito population reduction in São Tomé operation
  • +7 more outcomes

Companies that use ZZapp Malaria

Customer profile

Named customers4 records

Segments3 records

Ideal customer profiles2 records

ZZapp Malaria technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

AI capability6 records

Feature5 records

ZZapp Malaria partnerships and signals

Strategic signal

Partnerships

13 partnerships are on record, tiered major, core, flagship and minor.

  • International Centre of Insect Physiology and Ecology (ICIPE)majorStrategic or Co-development Partner · 23 June 2021Research partner collaborating on demonstrating effectiveness of app-guided control of mosquito breeding sites. Worked with Dr. Abebe Asale on alternative malaria control methods.
  • IBM Watson / IBM Data Science and AI Elite TeamcoreTechnology or IntegrationIBM Watson sponsored the $5M AI XPRIZE competition. The IBM Data Science and AI Elite team developed weather analysis modules for Zzapp's system in collaboration with Zzapp, improving temporal optimization of interventions.
  • AngloGold Ashanti Malaria ControlmajorStrategic or Co-development PartnerResearch partner and collaborator in malaria control efforts.
  • Aberystwyth UniversitymajorStrategic or Co-development PartnerResearch partner collaborating on Zanzibar Spatial Intelligence System project involving drone detection of mosquito breeding sites.
  • Goodbye MalariamajorStrategic or Co-development PartnerCollaboration partner in Mozambique vector control pilot launched March 2022, working with NMCP and CISM.
  • CISM (Manhiça Health Research Center)majorStrategic or Co-development PartnerResearch partner in Mozambique collaboration for vector control pilot in Maputo.
  • Mozambique Ministry of HealthmajorStrategic or Co-development PartnerGovernment partner for nationwide malaria elimination scaling following successful Maputo pilot.
  • São Tomé and Príncipe Ministry of HealthflagshipStrategic or Co-development PartnerPrimary government partner for ambitious countrywide malaria elimination project targeting complete elimination within two years.
  • London School of Hygiene and Tropical MedicinemajorStrategic or Co-development PartnerResearch partner in Zanzibar project using drones for mosquito breeding site detection.
  • Liverpool School of Tropical MedicinemajorStrategic or Co-development PartnerResearch partner in Zanzibar Spatial Intelligence System project.
  • Zanzibar Ministry of HealthmajorStrategic or Co-development PartnerGovernment partner implementing drone-powered mosquito breeding site detection integrated with Zzapp system.
  • AGAMal (Ghana)flagshipStrategic or Co-development PartnerLeading malaria control organization in Ghana; collaboration since 2017 for house spraying and larviciding operations in Obuasi protecting 200,000+ people.
  • Sight DiagnosticsminorOthersListed as a funder and partner organization.

Scale indicators12 records

Recent moves6 records

Expansion highlights5 records

ZZapp Malaria competitors and assessment

Company assessment

Direct peers

  • Akros: Akros uses geospatial data and satellite imagery to support malaria and neglected tropical disease control programs in Africa, including water/sanitation mapping for vector control. Closest direct comparable — both apply GIS/satellite analytics to government-led NTD elimination, serving similar ministry-of-health buyers.
  • Dimagi: Dimagi's CommCare platform powers mobile data collection and frontline worker workflows for health and development programs across 80+ countries. Comparable in deploying offline-capable mobile apps to government and NGO field workers in low-resource settings, though Dimagi serves broader health verticals beyond vector control.
  • Nexleaf Analytics: Nexleaf Analytics builds data and sensor solutions for global-health programs, including vaccine cold-chain monitoring and disease surveillance in low- and middle-income countries. Comparable in applying data-driven software to LMIC public-health missions funded by Gates and similar donors.

Broad incumbents

  • Esri: Esri's ArcGIS platform underpins much of the world's public-health mapping, including malaria surveillance, with tools for hotspot analysis and field-data integration. Comparable as the dominant geospatial layer for vector-control programs; Zzapp layers purpose-built AI and field execution on top of similar underlying GIS capabilities.
  • Palantir Technologies: Palantir provides large-scale data integration and analytics platforms used by governments and public-health agencies for outbreak response and disease surveillance. Comparable as a software/data-platform incumbent serving health ministries; Zzapp is a verticalized specialist that Palantir could conceivably displace or partner with.
  • Maxar Technologies: Maxar is a leading provider of high-resolution satellite imagery used in humanitarian, environmental, and public-health applications. Comparable as an upstream satellite-imagery supplier that underpins Zzapp's CNN-based water-body detection, though Maxar sells raw imagery rather than finished malaria-elimination workflows.

Emerging players

  • Descartes Labs: Descartes Labs operates a geospatial analytics platform that fuses satellite imagery with AI for agriculture, sustainability, and supply-chain applications. Comparable in applying ML to satellite data for societal-impact use cases, though Descartes Labs is more diversified across commercial verticals than malaria-specific.
  • Baobab Health Trust: Baobab Health develops open-source digital health systems deployed in Malawi and other African countries, including electronic medical records and patient management for HIV and TB. Comparable in building digital-health software tailored to resource-constrained African ministries of health.
  • Medic (formerly Medic Mobile): Medic builds open-source mobile tools for community health workers across Africa and Asia, covering antenatal care, child health, and disease surveillance. Comparable in providing offline-capable field-worker apps for government health programs, though Medic focuses on community-health workflows rather than vector control.

Regional players

  • Zipline: Zipline operates drone-based medical delivery networks across several African countries, including Rwanda and Ghana. Comparable as a venture-backed drone/logistics company addressing African public-health infrastructure; not a direct competitor but a peer in attracting impact capital and government partnerships in the region.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

ZZapp Malaria social profiles

Digital presence

ZZapp Malaria financial estimates

Financial estimate

Revenue estimate

Valuation estimate

ZZapp Malaria leadership team

Management profile

Number of profiles

Profiles1 record

ZZapp Malaria funding detail

Funding detail

Funding overview

Funding rounds

Investors

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

ZZapp Malaria 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 ZZapp Malaria

What does ZZapp Malaria do?

Zzapp Malaria develops an AI-powered software platform that analyzes satellite imagery and topographical maps to identify malaria transmission hotspots, then delivers optimized larviciding strategies directly to field workers via a map-based mobile app. The system combines computer vision for water body detection, weather-based timing optimization, and population density analysis to guide targeted mosquito breeding-site treatment, with field data syncing back to an operations dashboard for managers.

Is ZZapp Malaria a public or private company?

ZZapp Malaria is a private company. It is classified as founder individual operated bootstrapped and is currently operating.

When was ZZapp Malaria founded?

ZZapp Malaria was founded in 2016. It employs 1 to 10 people.

Where is ZZapp Malaria based?

ZZapp Malaria is headquartered in Tel Aviv, Israel, in the Middle East region.

How does ZZapp Malaria make money?

One revenue line is on record: software Licensing and Services.

Who are ZZapp Malaria's main competitors?

Direct peers on record are Akros, Dimagi and Nexleaf Analytics. Broad incumbents are Esri, Palantir Technologies and Maxar Technologies. Emerging players are Descartes Labs, Baobab Health Trust and Medic (formerly Medic Mobile). Zipline is listed as a regional player.

Does ZZapp Malaria have an API?

No public API is recorded for ZZapp Malaria.

What industry is ZZapp Malaria in?

ZZapp Malaria's product category is Malaria Elimination Software. Its primary akta.pro industry code is HLAJABAG, Vector-Borne Disease Surveillance & Control, with a secondary code of IMAIAHAI, Mosquito & Tick Control. Its NAICS code is 541512 and its SIC code is 7372.

Unlock the full company data

50 free credits on sign-up, no credit card required.

Contact sales