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MeteoIA

Full company profile

uuid0033m1s

Namestring
MeteoIA
Legal namestring
MeteoIA
Websiteurl
meteoia.com
Company typeenum
Private
Founded yearint
2017
Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
11–50
akta.pro rankint
HeadquartersSão Paulo, Brazil
HQ citystring
São Paulo
HQ countrystring
Brazil
HQ regionstring
Latin America
Markets served

Serves global market

Offices2 records

Each record includes

City, Country, Type, Description, Source

Keyword5 values
AI weather forecasting, climate risk analytics, agricultural weather intelligence, renewable energy forecasting, insurance risk modeling
Industry4 codes
1Scenario Planning, Forecasting Platforms & Planning Intelligence
CodeHDAAAHALPrimaryYes
2Downscaled Climate Projections & Scenario Analytics (CMIP, SSP/RCP, Regionalization)
CodeEUABALABPrimaryNo
3Forecasting & AI Optimization for Flexibility (Load/Price/Renewables/SoC)
CodeEUAFAKAHPrimaryNo
4AI/ML Engineering & Model Development Services
CodeBPAEAHAFPrimaryNo
NAICS code2 codes
  • Computer Systems Design and Related Services54151
  • Geophysical Surveying and Mapping Services54136
SIC code3 codes
  • Services-Prepackaged Software7372
  • Services-Commercial Physical & Biological Research8731
  • Services-Computer Programming, Data Processing, Etc.7370
Product category
Climate Risk Analytics Software
Social media profiles3 records
GTM motion3 records

Each record includes

Type, Description, Source

Revenue model3 records
1Climate Risk Forecasting SaaS (MIA Platform)
TypeSubscription Recurring
Description

Subscription-based access to the MIA platform providing climate forecasts, risk analyses, and decision-support dashboards. Revenue generated through annual or multi-year contracts with enterprise clients in energy, insurance, agribusiness, and infrastructure sectors. Pricing is quote-based and customized to client scope.

meteoia.com
2QUALARIA Air Quality Monitoring
TypeSubscription Recurring
Description

AI-powered air quality forecasting service for the São Paulo Metropolitan Region, combining sensor data with modeling outputs. Partially funded by FAPESP and BMBF research grants. Commercial components likely included for government and enterprise clients.

meteoia.com
3Custom R&D and Consulting Projects
TypeProfessional Services
Description

Research and development projects in climate-dependent sectors (agriculture, energy, urban planning) delivered as customized solutions. Funded in part by ANEEL R&D programs and FAPESP grants.

meteoia.com
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
Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure
Pricing details1 tier
1Custom enterprise solutions - pricing not publicly disclosed
ModelOtherBilling cadenceAnnual
Notes

No public pricing tiers listed. Solutions are customized per client and sector (energy, insurance, agriculture, infrastructure). Contact-based sales with demo requests via WhatsApp and email.

meteoia.com
GTM typeB2B
B2B
Offering typeSoftware
Software
Brand1 of 4 records shown
1MIA (MeteoIA Intelligence)
Description

Proprietary AI modeling system for climate predictions offering short-term (0-15 days), seasonal (1-365 days), and IPCC scenario forecasting with high spatial resolution up to 30 meters.

meteoia.com
+3 more records
Core offering1 text field

MeteoIA develops and operates Sistema MIA (MeteoIA Intelligence for Action), a proprietary AI-based climate forecasting platform that uses deep neural networks to generate high-resolution weather and climate predictions across short-term (0-15 days), seasonal (1-365 days), and long-term scenario (up to 30 years) horizons. The platform serves enterprise clients in energy, agriculture, insurance, and infrastructure sectors with sector-specific modules (MIA Agro, MIA Energia, MIA-Risk, MIA-Climap) plus a separate air quality product (QUALARIA), delivered through interactive dashboards, APIs, and raw data files.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 5 values shown
  • MIA Agro forecasts up to 20 weeks ahead vs. competitors' ~6 weeks
+4 more records
Product overview1 text field

MeteoIA is a climate intelligence company providing AI-powered climate data, forecasts, and impact analyses through its proprietary MIA (MeteoIA Intelligence for Action) system—a unified AI climate modeling platform. The core MIA system serves as the foundational engine for sector-specific modules including MIA Agro (agricultural productivity and risk), MIA Energia (energy generation and trading), MIA-Risk (extreme event alerts at asset scale), and MIA-Climap (hyperlocal surface climate simulation at 30m resolution). A parallel product line, QUALARIA, extends the platform to air quality monitoring and forecasting for urban environments. All outputs are delivered via interactive dashboards, APIs, and raw data files (FTP). The company was founded within academia with a strong R&D DNA and a team of PhDs in data science and meteorology.

Product and service6 records
1Sistema MIA (MeteoIA Intelligence for Action)
CategoryCore Platform / Climate AI Engine
Description

Sistema MIA is the proprietary AI-powered climate modeling system at the core of all MeteoIA solutions. It integrates deep neural networks with atmospheric science to generate short-term (0-15 days), seasonal (1-365 days), and long-range climate scenario forecasts (up to 30 years) at high spatial resolution (down to 30 meters), serving energy, agriculture, insurance, and infrastructure sectors. Delivered through interactive dashboards, APIs, and raw data files (FTP).

2MIA Agro
CategoryAgricultural Climate Intelligence Module
Description

Agricultural sector module of the MIA platform providing medium- and long-range weather forecasts, exclusive temperature/rainfall/frost maps at 30-meter spatial resolution, and agricultural market opportunity identification up to 20 weeks ahead — significantly outperforming traditional 6-week competitor forecasts. Designed for farmers, cooperatives, and agribusiness companies managing crop productivity, frost risk, and irrigation planning.

3MIA Energia
CategoryEnergy Climate Intelligence Module
Description

Energy sector module providing predictive models for wind and hydroelectric generation with superior temporal range, spatial refinement, and accuracy versus traditional models (e.g., IFS/ECMWF). Includes energy price scenario optimization, operational risk management, and renewable energy investment opportunity identification. Designed for utilities, energy generators, and traders managing renewable energy assets.

4MIA-Risk
5MIA-Climap
6QUALARIA
Scale indicator7 records

Each record includes

Type, Value, Description, Source

Partnership11 partners
1Green Sampa (Hub de Inovação)
Strategic tierFoundationalTypeStrategic or Co-development PartnerAnnounced on2017-01-01
Description

MeteoIA began its journey in 2017 as an incubated startup at Green Sampa, the City of São Paulo's green innovation hub. The relationship provided initial incubation and support for the company's development.

meteoia.com
Strategic tierCoreTypeStrategic or Co-development Partner
Description

FAPESP (São Paulo State Research Foundation) has provided R$2M in funding for the development of sub-seasonal rainfall forecasting with the MIA system. Also a funding partner for the QUALARIA project (air quality monitoring) and PIPE/FAPESP grant for AI applied to sub-seasonal energy forecasting.

3IAG/USP (Instituto de Astronomia, Geofísica e Ciências Atmosféricas da Universidade de São Paulo)
Strategic tierCoreTypeStrategic or Co-development Partner
Description

Academic research partnership for the QUALARIA air quality project and broader climate AI research. Co-developing AI models for air quality and climate prediction with university researchers.

meteoia.com
Strategic tierCoreTypeStrategic or Co-development Partner
Description

International scientific collaboration on air quality AI modeling. Partner in QUALARIA project with researcher Guy Brasseur participating in kick-off meetings and project development.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

Environmental agency partnership for the QUALARIA project. CETESB's official air quality monitoring stations serve as reference for calibrating MeteoIA's low-cost sensors, and the data is used as input for AI models.

Strategic tierMinorTypeGTM or Marketing Partner
Description

São Paulo city development agency that supported MeteoIA and was institutional co-host of the I Fórum de Previsão de Riscos Climáticos.

7Government of the State of São Paulo (Secretaria do Desenvolvimento Econômico)
Strategic tierMinorTypeGTM or Marketing Partner
Description

State government development body with which MeteoIA has a partnership for innovation and development activities.

meteoia.com
8Bernard Technologies GmbH
Strategic tierCoreTypeTechnology or Integration
Description

German company producing low-cost air pollutant sensors (Bernard Air Analysers) used in the QUALARIA project for monitoring in the São Paulo Metropolitan Region. Sensors transmit data in real-time to support AI model training.

meteoia.com
Strategic tierMinorTypeGTM or Marketing Partner
Description

São Paulo state government innovation initiative partnered with MeteoIA for climate technology initiatives.

Strategic tierMinorTypeGTM or Marketing Partner
Description

Brazilian Risk Management Association. Institutional co-host of the I Fórum de Previsão de Riscos Climáticos and platform for insurance sector relationship building.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

Major Brazilian highway concessionaire using MeteoIA's landslide prediction platform (Plataforma de Previsão de Deslizamento de Taludes) on Arteris Planalto Sul. Platform won ANTT 2024 award. Active operational use of MIA system for infrastructure risk management.

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Peers10 records
TypeEmerging player
Description

AI-based climate risk analytics platform providing asset-level physical climate risk scoring and scenario projections for enterprises. Comparable to MeteoIA's asset-level downscaling approach (30m resolution) and climate risk quantification for insurance/infrastructure buyers.

TypeDirect peer
Description

AI climate intelligence platform providing long-range climate risk forecasts and scenario analysis for enterprises in agriculture, food & beverage, and supply chains. Comparable to MeteoIA's MIA Agro and MIA-Risk modules on AI-first climate risk analytics for commercial users.

TypeDirect peer
Description

Israel/US-based AI weather forecasting company offering high-resolution, long-range predictions via API and dashboards to enterprise clients in logistics, energy, agriculture, and insurance. Closely comparable to MeteoIA on AI-first forecasting architecture, multi-sector enterprise GTM, and API + dashboard delivery model.

TypeDirect peer
Description

Climate risk analytics company providing physical climate risk scoring and forecasting for infrastructure, insurance, and financial services. Closely comparable to MeteoIA's MIA-Risk and MIA-Climap modules serving infrastructure (Arteris) and insurance (Zurich, Aon) customers.

TypeOthers
Description

Brazilian investment firm referenced as MeteoIA's investor; included only for ecosystem context, not as a peer — they do not operate a comparable forecasting product.

TypeEmerging player
Description

Agricultural intelligence platform providing weather-driven agronomic insights and forecasts to agribusinesses in emerging markets, including Latin America. Comparable to MeteoIA's MIA Agro module on agricultural climate risk and crop productivity optimization.

7DTN
TypeBroad incumbent
Description

Large, established provider of weather, climate, and agricultural intelligence for energy, agriculture, and transportation enterprises globally. Comparable to MeteoIA on customer verticals (agribusiness, energy) and subscription weather-data delivery, but operates at much larger scale with broader portfolio.

TypeBroad incumbent
Description

IBM-owned weather and climate data platform serving global enterprise customers with forecasting APIs, AI models, and industry-specific analytics. Direct overlap with MeteoIA's AI forecasting and API delivery model, but with significantly larger scale and broader product portfolio.

TypeDirect peer
Description

AI-driven weather and climate forecasting platform serving utilities, energy traders, and insurance with high-resolution nowcasting and long-range forecasts. Direct overlap with MeteoIA's energy and insurance verticals and similar AI-augmented probabilistic forecasting approach.

TypeEmerging player
Description

AI-driven sub-seasonal to seasonal climate forecasting company serving energy, agriculture, and insurance. Highly comparable to MeteoIA's core claim of long-range (multi-week to seasonal) AI forecasts beyond traditional weather model horizons.

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 customers10 records

Each record includes

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

Segment5 records

Each record includes

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

Ideal customer profile5 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
Yes

Docs URL, Description

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
Profiles7 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 rounds1 record

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 →

MeteoIA

Climate Risk Analytics Softwaremeteoia.com

MeteoIA firmographics

Firmographics
Name
MeteoIA
Legal name
MeteoIA
Website
https://meteoia.com
Company type
Private
Founded year
2017
Operating status
Operating
Headcount range
11–50 employees
Ownership category
akta.pro rank

MeteoIA industry classification

Industry
Product category
Climate Risk Analytics Software
NAICS
Computer Systems Design and Related Services (54151), Geophysical Surveying and Mapping Services (54136)
SIC
Services-Prepackaged Software (7372), Services-Commercial Physical & Biological Research (8731), Services-Computer Programming, Data Processing, Etc. (7370)
akta.pro primary industry
Scenario Planning, Forecasting Platforms & Planning Intelligence (HDAAAHAL)
akta.pro secondary industries
Downscaled Climate Projections & Scenario Analytics (CMIP, SSP/RCP, Regionalization) (EUABALAB), Forecasting & AI Optimization for Flexibility (Load/Price/Renewables/SoC) (EUAFAKAH), AI/ML Engineering & Model Development Services (BPAEAHAF)

Keywords

  • AI weather forecasting
  • Climate risk analytics
  • Agricultural weather intelligence
  • Renewable energy forecasting
  • Insurance risk modeling

Where MeteoIA is headquartered

Location

Headquarters

HQ city
São Paulo
HQ country
Brazil
HQ region
Latin America

Offices2 records

Markets served

MeteoIA business model

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

Revenue model

  1. Climate Risk Forecasting SaaS (MIA Platform): Subscription-based access to the MIA platform providing climate forecasts, risk analyses, and decision-support dashboards. Revenue generated through annual or multi-year contracts with enterprise clients in energy, insurance, agribusiness, and infrastructure sectors. Pricing is quote-based and customized to client scope.
  2. QUALARIA Air Quality Monitoring: AI-powered air quality forecasting service for the São Paulo Metropolitan Region, combining sensor data with modeling outputs. Partially funded by FAPESP and BMBF research grants. Commercial components likely included for government and enterprise clients.
  3. Custom R&D and Consulting Projects: Research and development projects in climate-dependent sectors (agriculture, energy, urban planning) delivered as customized solutions. Funded in part by ANEEL R&D programs and FAPESP grants.

Pricing tiers

ModelBillingPrice
OtherAnnualCustom enterprise solutions - pricing not publicly disclosed

Go-to-market motion3 records

Distribution channels4 records

Marketing channels7 records

MeteoIA product offering

Product offering

Core offering

MeteoIA develops and operates Sistema MIA (MeteoIA Intelligence for Action), a proprietary AI-based climate forecasting platform that uses deep neural networks to generate high-resolution weather and climate predictions across short-term (0-15 days), seasonal (1-365 days), and long-term scenario (up to 30 years) horizons. The platform serves enterprise clients in energy, agriculture, insurance, and infrastructure sectors with sector-specific modules (MIA Agro, MIA Energia, MIA-Risk, MIA-Climap) plus a separate air quality product (QUALARIA), delivered through interactive dashboards, APIs, and raw data files.

Product overview

MeteoIA is a climate intelligence company providing AI-powered climate data, forecasts, and impact analyses through its proprietary MIA (MeteoIA Intelligence for Action) system—a unified AI climate modeling platform. The core MIA system serves as the foundational engine for sector-specific modules including MIA Agro (agricultural productivity and risk), MIA Energia (energy generation and trading), MIA-Risk (extreme event alerts at asset scale), and MIA-Climap (hyperlocal surface climate simulation at 30m resolution). A parallel product line, QUALARIA, extends the platform to air quality monitoring and forecasting for urban environments. All outputs are delivered via interactive dashboards, APIs, and raw data files (FTP). The company was founded within academia with a strong R&D DNA and a team of PhDs in data science and meteorology.

Differentiator

Problem solved

Functional benefit

Brands

  • MIA (MeteoIA Intelligence): Proprietary AI modeling system for climate predictions offering short-term (0-15 days), seasonal (1-365 days), and IPCC scenario forecasting with high spatial resolution up to 30 meters.
  • QUALARIA
  • MIA Agro
  • MIA Energia

Products and services

  • Sistema MIA (MeteoIA Intelligence for Action) Sistema MIA is the proprietary AI-powered climate modeling system at the core of all MeteoIA solutions. It integrates deep neural networks with atmospheric science to generate short-term (0-15 days), seasonal (1-365 days), and long-range climate scenario forecasts (up to 30 years) at high spatial resolution (down to 30 meters), serving energy, agriculture, insurance, and infrastructure sectors. Delivered through interactive dashboards, APIs, and raw data files (FTP).
  • MIA Agro Agricultural sector module of the MIA platform providing medium- and long-range weather forecasts, exclusive temperature/rainfall/frost maps at 30-meter spatial resolution, and agricultural market opportunity identification up to 20 weeks ahead — significantly outperforming traditional 6-week competitor forecasts. Designed for farmers, cooperatives, and agribusiness companies managing crop productivity, frost risk, and irrigation planning.
  • MIA Energia Energy sector module providing predictive models for wind and hydroelectric generation with superior temporal range, spatial refinement, and accuracy versus traditional models (e.g., IFS/ECMWF). Includes energy price scenario optimization, operational risk management, and renewable energy investment opportunity identification. Designed for utilities, energy generators, and traders managing renewable energy assets.
  • MIA-Risk
  • MIA-Climap
  • QUALARIA

Quantifiable outcome

  • MIA Agro forecasts up to 20 weeks ahead vs. competitors' ~6 weeks
  • +4 more outcomes

Companies that use MeteoIA

Customer profile

Named customers10 records

Segments5 records

Ideal customer profiles5 records

MeteoIA technology and API

Technology

Technology focussed Yes

API detail

Has API
Yes
API docs
API detail

Core technology

AI maturity

App detail

AI capability7 records

Feature7 records

MeteoIA partnerships and signals

Strategic signal

Partnerships

Eleven partnerships are on record, tiered foundational, core and minor.

  • Green Sampa (Hub de Inovação)foundationalStrategic or Co-development Partner · 1 January 2017MeteoIA began its journey in 2017 as an incubated startup at Green Sampa, the City of São Paulo's green innovation hub. The relationship provided initial incubation and support for the company's development.
  • FAPESPcoreStrategic or Co-development PartnerFAPESP (São Paulo State Research Foundation) has provided R$2M in funding for the development of sub-seasonal rainfall forecasting with the MIA system. Also a funding partner for the QUALARIA project (air quality monitoring) and PIPE/FAPESP grant for AI applied to sub-seasonal energy forecasting.
  • IAG/USP (Instituto de Astronomia, Geofísica e Ciências Atmosféricas da Universidade de São Paulo)coreStrategic or Co-development PartnerAcademic research partnership for the QUALARIA air quality project and broader climate AI research. Co-developing AI models for air quality and climate prediction with university researchers.
  • Max Planck Institute for Meteorology (MPI-M)coreStrategic or Co-development PartnerInternational scientific collaboration on air quality AI modeling. Partner in QUALARIA project with researcher Guy Brasseur participating in kick-off meetings and project development.
  • CETESB (Companhia Ambiental do Estado de São Paulo)coreStrategic or Co-development PartnerEnvironmental agency partnership for the QUALARIA project. CETESB's official air quality monitoring stations serve as reference for calibrating MeteoIA's low-cost sensors, and the data is used as input for AI models.
  • ADE Sampa (Agência São Paulo de Desenvolvimento)minorGTM or Marketing PartnerSão Paulo city development agency that supported MeteoIA and was institutional co-host of the I Fórum de Previsão de Riscos Climáticos.
  • Government of the State of São Paulo (Secretaria do Desenvolvimento Econômico)minorGTM or Marketing PartnerState government development body with which MeteoIA has a partnership for innovation and development activities.
  • Bernard Technologies GmbHcoreTechnology or IntegrationGerman company producing low-cost air pollutant sensors (Bernard Air Analysers) used in the QUALARIA project for monitoring in the São Paulo Metropolitan Region. Sensors transmit data in real-time to support AI model training.
  • IDEAGOVminorGTM or Marketing PartnerSão Paulo state government innovation initiative partnered with MeteoIA for climate technology initiatives.
  • ABGR (Associação Brasileira de Gerência de Riscos)minorGTM or Marketing PartnerBrazilian Risk Management Association. Institutional co-host of the I Fórum de Previsão de Riscos Climáticos and platform for insurance sector relationship building.
  • ArteriscoreStrategic or Co-development PartnerMajor Brazilian highway concessionaire using MeteoIA's landslide prediction platform (Plataforma de Previsão de Deslizamento de Taludes) on Arteris Planalto Sul. Platform won ANTT 2024 award. Active operational use of MIA system for infrastructure risk management.

Scale indicators7 records

Recent moves6 records

Expansion highlights6 records

MeteoIA competitors and assessment

Company assessment

Emerging players

  • Cervest: AI-based climate risk analytics platform providing asset-level physical climate risk scoring and scenario projections for enterprises. Comparable to MeteoIA's asset-level downscaling approach (30m resolution) and climate risk quantification for insurance/infrastructure buyers.
  • aWhere: Agricultural intelligence platform providing weather-driven agronomic insights and forecasts to agribusinesses in emerging markets, including Latin America. Comparable to MeteoIA's MIA Agro module on agricultural climate risk and crop productivity optimization.
  • Salient Predictions: AI-driven sub-seasonal to seasonal climate forecasting company serving energy, agriculture, and insurance. Highly comparable to MeteoIA's core claim of long-range (multi-week to seasonal) AI forecasts beyond traditional weather model horizons.

Direct peers

  • ClimateAI: AI climate intelligence platform providing long-range climate risk forecasts and scenario analysis for enterprises in agriculture, food & beverage, and supply chains. Comparable to MeteoIA's MIA Agro and MIA-Risk modules on AI-first climate risk analytics for commercial users.
  • Tomorrow.io: Israel/US-based AI weather forecasting company offering high-resolution, long-range predictions via API and dashboards to enterprise clients in logistics, energy, agriculture, and insurance. Closely comparable to MeteoIA on AI-first forecasting architecture, multi-sector enterprise GTM, and API + dashboard delivery model.
  • Jupiter Intelligence: Climate risk analytics company providing physical climate risk scoring and forecasting for infrastructure, insurance, and financial services. Closely comparable to MeteoIA's MIA-Risk and MIA-Climap modules serving infrastructure (Arteris) and insurance (Zurich, Aon) customers.
  • Climavision: AI-driven weather and climate forecasting platform serving utilities, energy traders, and insurance with high-resolution nowcasting and long-range forecasts. Direct overlap with MeteoIA's energy and insurance verticals and similar AI-augmented probabilistic forecasting approach.

Others

Broad incumbents

  • DTN: Large, established provider of weather, climate, and agricultural intelligence for energy, agriculture, and transportation enterprises globally. Comparable to MeteoIA on customer verticals (agribusiness, energy) and subscription weather-data delivery, but operates at much larger scale with broader portfolio.
  • IBM (The Weather Company): IBM-owned weather and climate data platform serving global enterprise customers with forecasting APIs, AI models, and industry-specific analytics. Direct overlap with MeteoIA's AI forecasting and API delivery model, but with significantly larger scale and broader product portfolio.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

MeteoIA social profiles

Digital presence

MeteoIA financial estimates

Financial estimate

Revenue estimate

Valuation estimate

MeteoIA leadership team

Management profile

Number of profiles

Profiles7 records

MeteoIA funding detail

Funding detail

Funding overview

Funding rounds1 record

Investors

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

MeteoIA 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 MeteoIA

What does MeteoIA do?

MeteoIA develops and operates Sistema MIA (MeteoIA Intelligence for Action), a proprietary AI-based climate forecasting platform that uses deep neural networks to generate high-resolution weather and climate predictions across short-term (0-15 days), seasonal (1-365 days), and long-term scenario (up to 30 years) horizons. The platform serves enterprise clients in energy, agriculture, insurance, and infrastructure sectors with sector-specific modules (MIA Agro, MIA Energia, MIA-Risk, MIA-Climap) plus a separate air quality product (QUALARIA), delivered through interactive dashboards, APIs, and raw data files.

Is MeteoIA a public or private company?

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

When was MeteoIA founded?

MeteoIA was founded in 2017. It employs 11 to 50 people.

Where is MeteoIA based?

MeteoIA is headquartered in São Paulo, Brazil, in the Latin America region.

How does MeteoIA make money?

Three revenue lines are on record. Climate Risk Forecasting SaaS (MIA Platform) is the primary driver. The others are QUALARIA Air Quality Monitoring and custom R&D and Consulting Projects.

Who are MeteoIA's main competitors?

Emerging players on record are Cervest, aWhere and Salient Predictions. Direct peers are ClimateAI, Tomorrow.io, Jupiter Intelligence and Climavision. Bossa Invest (portfolio context only — not a peer) is listed as an others. Broad incumbents are DTN and IBM (The Weather Company).

Does MeteoIA have an API?

Yes. Previsões disponibilizadas através de dashboard interativos e arquivos brutos disponíveis via API e FTP.

What industry is MeteoIA in?

MeteoIA's product category is Climate Risk Analytics Software. Its primary akta.pro industry code is HDAAAHAL, Scenario Planning, Forecasting Platforms & Planning Intelligence, with a secondary code of EUABALAB, Downscaled Climate Projections & Scenario Analytics (CMIP, SSP/RCP, Regionalization). Its NAICS code is 54151 and its SIC code is 7372.

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