Developer docs
API playgroundTry for free, no card

Search company profiles

Predictia

Full company profile

uuid000ubtc

Namestring
Predictia
Legal namestring
Predictia Intelligent Data Solutions, S.L.
Websiteurl
predictia.es
Company typeenum
Private
Founded yearint
2008
Descriptiontext

Predictia Intelligent Data Solutions, S.L. ("Predictia") is a privately held Spanish AI and data-analytics company founded in 2008 as a spin-off from the machine learning group at the University of Cantabria and headquartered in Santander. The company designs custom software solutions applying artificial intelligence, machine learning, and deep learning to climate, weather, environmental, and health data, spanning weather forecasting (next days), seasonal forecasting (next months), and multi-decadal climate projections. Its portfolio combines a subscription SaaS platform, Climadjust, with a suite of bespoke visualisation and decision-support products such as the COVID-19 Atlas for Spain, the AdapteCCa Climate Scenario Viewer, the FAO CAVA platform, the Panama Climate Risk Assessment Atlas, the 2Cnow Viewer for offshore renewables, the EERIE ocean-eddies data viewer, and the Planet4Health early warning system.

Underlying these products are proprietary AI components including the ConvSwin2SR super-resolution model (a 12M-parameter vision transformer on Hugging Face), an AI-based climate emulator developed for ECMWF's Destination Earth initiative, and a cloud emulator for DestinE's Extremes Digital Twin that integrates SEVIRI satellite data with ERA5 reanalysis. Predictia monetises primarily through professional-services project engagements with international agencies, governments, and private firms, supplemented by a freemium-to-paid SaaS motion on Climadjust; pricing for custom work is contact-based and not publicly disclosed.

Predictia serves more than 50 clients, including FAO, ECMWF, EUMETSAT, ESA, the European Commission, the IPCC, Spain's Instituto de Salud Carlos III, the Ministry of Environment of Panama, and private companies such as Iberdrola and EDP. Strategic co-development partnerships with BSC-CNS, CSIC, IFCA, and Forschungszentrum Jülich anchor its position in the European climate-services ecosystem, while funding from the Spanish Ministry of Science and Innovation and the EU's NextGenerationEU/PRTR supports R&D expansion. In 2025 the company moved to new offices, refreshed its brand, expanded headcount, and rolled out multiple new products across climate, energy, and health verticals.

Short descriptiontext

Predictia is a Spanish AI/ML company founded in 2008 as a University of Cantabria spin-off that builds custom climate, weather, environmental, and health data analytics software, serving 50+ international agencies, governments, research institutions, and private-sector clients.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
11–50
akta.pro rankint
HeadquartersSantander, Spain
HQ citystring
Santander
HQ countrystring
Spain
HQ regionstring
Europe
Markets served

Serves global market

Offices1 record

Each record includes

City, Country, Type, Description, Source

Keyword5 values
climate data analytics, machine learning software, custom climate solutions, bias-adjusted projections, environmental data platforms
Industry7 codes
1EUABALAB
CodeEUABALABPrimaryYes
2EUABALAA
CodeEUABALAAPrimaryNo
3EUABALAJ
CodeEUABALAJPrimaryNo
4EUABALAH
CodeEUABALAHPrimaryNo
5EUABALAG
CodeEUABALAGPrimaryNo
6HDAAAHAL
CodeHDAAAHALPrimaryNo
7EUAHAJAD
CodeEUAHAJADPrimaryNo
NAICS code2 codes
  • 5132
  • 54136
SIC code3 codes
  • 7372
  • 7370
  • 7373
Product category
Climate Data Analytics Software
GTM motion2 records

Each record includes

Type, Description, Source

Revenue model2 records
1Custom Software Development
TypeProfessional Services
Description

Predictia develops bespoke AI-powered software solutions for climate, weather, and health data analysis. Projects include interactive visualization tools, climate scenario viewers, and data management platforms for government agencies, international organizations, and private companies.

predictia.es
2Climadjust SaaS Platform
TypeSubscription Recurring
Description

Subscription-based web service providing bias-adjusted climate projections with sector indexes. Offers free trial for initial use, then paid experiments for further access.

predictia.es
Marketing channels4 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels3 records

Each record includes

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

Cost components5 values
Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure
Pricing details2 tiers
1Free trial tier for Climadjust
ModelFreemiumBilling cadencePay-as-you-go
Notes

One free experiment available for users to test the tool before committing to paid usage.

predictia.es
2Paid experiments for Climadjust
ModelSubscriptionBilling cadencePay-as-you-go
Notes

Payment required for experiments after the free trial. Custom observational data integration available via [email protected].

predictia.es
GTM typeB2B
B2B
Offering typeSoftware
Software
Core offering1 text field

Predictia develops AI-powered custom software solutions for climate, weather, and health data analysis using machine learning and deep learning techniques. Its portfolio includes the Climadjust SaaS platform for bias-adjusted climate projections and a suite of sector-specific interactive visualization tools (COVID Atlas, AdapteCCa, FAO CAVA, Panama Climate Risk Atlas, 2Cnow, EERIE Data Viewer) delivered to international agencies, governments, research institutions, and private companies.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 3 values shown
  • Bias reduction in air quality predictions: 85% (NO2), 92% (O3), 78% (PM2.5) of stations showed reduced bias with the AQ-BiasCorrection model
+2 more records
Product overview1 text field

Predictia offers a portfolio of AI-powered software solutions for climate, environmental, health, and Earth Sciences data analysis. The core offering is Climadjust (bias-adjusted climate projection web service), supplemented by a suite of domain-specific visualisation platforms including the COVID Atlas (epidemiological tracking), AdapteCCa Climate Scenario Viewer (national climate projections), FAO CAVA (agricultural risk), Panama Climate Risk Atlas, and 2Cnow Viewer (offshore energy). Underpinning the portfolio are advanced AI capabilities: ConvSwin2SR (deep learning super-resolution), cloud emulation for DestinE, and the DestinE Climate Emulator. Products span weather forecasting, seasonal prediction, regional climate projections, health data visualisation, and renewable energy planning, serving governments, universities, international agencies, and private sector clients since 2008.

Product and service11 records
1Climadjust
CategoryClimate Analytics SaaS
Description

Web-based SaaS platform that applies the ISIMIP3 bias-adjustment technique to CMIP6 and CORDEX climate projections, providing ready-to-use climate data with quantified uncertainty and sector-specific indices for insurance, finance, agriculture, and water management.

2COVID Atlas
CategoryHealth Data Visualization
Description

Interactive epidemiological data visualisation platform tracking COVID-19 evolution across Spain with 25 parameters at municipality and postcode level, using vector tile technology for high-performance rendering. Built for health institutes and epidemiological surveillance systems.

3AdapteCCa Climate Scenario Viewer
CategoryClimate Scenario Visualization
Description

Spanish national climate change scenario viewer offering projections from 46 EURO-CORDEX models at 5km resolution with ISIMIP3 bias adjustment. Developed for Fundación Biodiversidad and the Spanish Climate Change Office.

4FAO CAVA Platform
CategoryAgricultural Risk Visualization
Description

UN Food and Agriculture Organisation's platform for visualising and assessing climate and agricultural risks globally, redesigned by Predictia with a modern interface and interactive tools for agricultural decision-makers.

5Panama Climate Risk Assessment Atlas
CategoryNational Climate Risk Atlas
Description

Interactive atlas providing current and future climate threat estimations and potential impacts for Panama. Co-developed with Instituto de Hidráulica de Cantabria for Panama's Ministry of Environment.

62Cnow Viewer
CategoryRenewable Energy Visualization
Description

Interactive viewer for offshore renewable energy production forecasting and climate change-related risks such as sea level rise for France Energies Marines, supporting energy planning for marine renewable installations.

7EERIE Project Data Viewer
CategoryOceanographic Data Visualization
Description

Data visualisation platform for the European EERIE project focused on improving representation of ocean eddies and currents in Earth-system models and their climate interactions.

8ConvSwin2SR
CategoryAI Climate Model
Description

Deep learning vision transformer model with 12 million parameters for statistical super-resolution downscaling of ERA5 reanalysis data from ~30km to 5km over the Mediterranean, available on Hugging Face.

9DestinE Climate Emulator
CategoryAI Climate Emulator
Description

AI-based climate emulator under development for the European Destination Earth initiative that reproduces key outputs of physics-based climate simulations at a fraction of computational cost.

10Cloud Emulator for DestinE Extremes Digital Twin
CategoryAI Cloud Emulator
Description

AI-based cloud modelling component for Destination Earth's Extremes Digital Twin that integrates SEVIRI satellite observations to model short-term cloud coverage (up to 12 hours) at 25km regional resolution for photovoltaic sector planning.

11Planet4Health Early Warning System
CategoryHealth Early Warning System
Description

Web-based early warning platform for predicting environmental conditions favouring sandfly-borne leishmaniasis transmission in the Iberian Peninsula across multiple forecast time scales.

Scale indicator4 records

Each record includes

Type, Value, Description, Source

Partnership10 partners
Strategic tierCoreTypeStrategic or Co-development Partner
Description

Partnership for developing AI-based climate emulator for Destination Earth. BSC-CNS provides access to one of Europe's most powerful supercomputers and contributes previous DestinE experience for integration.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

Part of the team developing climate emulator for DestinE. CSIC contributes extensive experience in AI techniques application to climate science. Includes Group of Meteorology of Cantabria through IFCA.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

Partnership for Destination Earth climate emulator development. FZJ brings supercomputing resources and prior DestinE participation ensuring integration across components.

Strategic tierCoreTypeTechnology or Integration
Description

Ongoing commitment to C3S reflected in maintenance and evolution contracts for Climate Data Store. Climadjust uses C3S data and methodologies. Service implemented by ECMWF.

Strategic tierCoreTypeTechnology or Integration
Description

Strategic partner for Destination Earth initiative. ECMWF leads development of Climate DT and Extremes DT. Predictia selected to develop climate emulator based on Climate DT data. Uses ECMWF SEAS5.1 system.

Strategic tierCoreTypeTechnology or Integration
Description

Funding partner for DestinE cloud emulator development. EUMETSAT operates Meteosat Second Generation satellites providing SEVIRI data used in cloud coverage modeling.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

Long-term collaboration on Climadjust development (2020-2022). Collaborates on DestinE cloud emulator deployment. Validation protocols developed with Santander Meteorology Group.

8Instituto de Hidráulica de Cantabria
Strategic tierCoreTypeStrategic or Co-development Partner
Description

Co-development partner for Panama Climate Risk Assessment Atlas, developed for Panama Ministry for Environment.

predictia.es
Strategic tierCoreTypeTechnology or Integration
Description

Client for Climate and Agricultural Risk Visualization and Assessment Atlas (FAO CAVA). Predictia provides ongoing maintenance and redesign services for the platform.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

Long-term partner for AdapteCCa Climate Scenario Viewer development. Predictia has been working with them for years on operational maintenance and updates.

Recent move8 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight7 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

Cervest delivers AI-powered climate risk modeling (Earth Science AI) covering physical and transition risk for financial and corporate clients. Its science-led, asset-level approach to climate projections and uncertainty characterization is highly analogous to Predictia's Climadjust offering.

TypeDirect peer
Description

Climate X operates a climate risk analytics SaaS platform with global hazard and financial-loss models for asset portfolios. Its focus on downscaled climate data, sector-relevant indices, and enterprise/financial-sector delivery closely mirrors Predictia's Climadjust positioning.

TypeEmerging player
Description

Descartes Underwriting offers parametric climate insurance built on proprietary hazard and climate modeling capabilities. Its use of climate models for insurance product design is adjacent to Predictia's insurance/finance sector focus, though it operates as a carrier rather than a pure analytics vendor.

TypeDirect peer
Description

Kettle is a deep-learning climate analytics company building a fundamentally different climate model for use in insurance, infrastructure, and risk management. Its AI-first approach to reimagining climate models parallels Predictia's emulator and ConvSwin2SR strategy.

TypeDirect peer
Description

The Climate Service provides climate analytics to financial institutions and corporates, with emphasis on scenario analysis, sector indices, and bias-adjusted projections. Its enterprise software model for climate risk decision-making aligns closely with Predictia's insurance/finance use cases.

TypeEmerging player
Description

ClimateAI provides a climate intelligence platform aimed at enterprise supply chain and operations resilience. While overlapping on climate analytics, its focus is on enterprise risk operationalization rather than the government/international-organization bias of Predictia.

TypeBroad incumbent
Description

Tomorrow.io (formerly ClimaCell) is a broader weather and climate intelligence platform combining proprietary data, AI forecasting, and SaaS APIs. It addresses adjacent climate analytics needs but at much larger scale and with proprietary observation assets that Predictia lacks.

TypeDirect peer
Description

reask builds high-resolution climate catastrophe models for (re)insurance and risk capital deployment, using AI and stochastic techniques. Its specialty in extreme event and wind/hazard modeling shares technical DNA with Predictia's downscaling work and DestinE Extremes Digital Twin participation.

TypeDirect peer
Description

Risilience provides climate analytics software for financial institutions and corporates, including transition and physical risk scenario analysis aligned to TCFD/IFRS S2. Its UK-based enterprise platform competes with Predictia's insurance and finance vertical offerings.

TypeDirect peer
Description

Jupiter Intelligence is a US-based climate risk analytics platform serving insurers, asset managers, and infrastructure owners with physical and transition risk scoring. It directly overlaps Predictia's insurance/finance segment and emphasizes downscaled global climate hazard models combined with software delivery to enterprise buyers.

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 highlights6 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers9 records

Each record includes

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

Segment6 records

Each record includes

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

Ideal customer profile4 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

Integration6 records

Each record includes

Title, Type, Description, Source

AI capability8 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
Profiles1 record

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 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 →

Predictia

Climate Data Analytics Softwarepredictia.es

Predictia is a Spanish AI/ML company founded in 2008 as a University of Cantabria spin-off that builds custom climate, weather, environmental, and health data analytics software, serving 50+ international agencies, governments, research institutions, and private-sector clients.

What Predictia does

Predictia Intelligent Data Solutions, S.L. ("Predictia") is a privately held Spanish AI and data-analytics company founded in 2008 as a spin-off from the machine learning group at the University of Cantabria and headquartered in Santander. The company designs custom software solutions applying artificial intelligence, machine learning, and deep learning to climate, weather, environmental, and health data, spanning weather forecasting (next days), seasonal forecasting (next months), and multi-decadal climate projections. Its portfolio combines a subscription SaaS platform, Climadjust, with a suite of bespoke visualisation and decision-support products such as the COVID-19 Atlas for Spain, the AdapteCCa Climate Scenario Viewer, the FAO CAVA platform, the Panama Climate Risk Assessment Atlas, the 2Cnow Viewer for offshore renewables, the EERIE ocean-eddies data viewer, and the Planet4Health early warning system.

Underlying these products are proprietary AI components including the ConvSwin2SR super-resolution model (a 12M-parameter vision transformer on Hugging Face), an AI-based climate emulator developed for ECMWF's Destination Earth initiative, and a cloud emulator for DestinE's Extremes Digital Twin that integrates SEVIRI satellite data with ERA5 reanalysis. Predictia monetises primarily through professional-services project engagements with international agencies, governments, and private firms, supplemented by a freemium-to-paid SaaS motion on Climadjust; pricing for custom work is contact-based and not publicly disclosed.

Predictia serves more than 50 clients, including FAO, ECMWF, EUMETSAT, ESA, the European Commission, the IPCC, Spain's Instituto de Salud Carlos III, the Ministry of Environment of Panama, and private companies such as Iberdrola and EDP. Strategic co-development partnerships with BSC-CNS, CSIC, IFCA, and Forschungszentrum Jülich anchor its position in the European climate-services ecosystem, while funding from the Spanish Ministry of Science and Innovation and the EU's NextGenerationEU/PRTR supports R&D expansion. In 2025 the company moved to new offices, refreshed its brand, expanded headcount, and rolled out multiple new products across climate, energy, and health verticals.

Predictia firmographics

Firmographics
Name
Predictia
Legal name
Predictia Intelligent Data Solutions, S.L.
Website
https://predictia.es
Company type
Private
Founded year
2008
Operating status
Operating
Headcount range
11–50 employees
Short description
Predictia is a Spanish AI/ML company founded in 2008 as a University of Cantabria spin-off that builds custom climate, weather, environmental, and health data analytics software, serving 50+ international agencies, governments, research institutions, and private-sector clients.
Ownership category
akta.pro rank

Where Predictia is headquartered

Location

Headquarters

HQ city
Santander
HQ country
Spain
HQ region
Europe

Offices1 record

Markets served

Predictia 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. Custom Software Development: Predictia develops bespoke AI-powered software solutions for climate, weather, and health data analysis. Projects include interactive visualization tools, climate scenario viewers, and data management platforms for government agencies, international organizations, and private companies.
  2. Climadjust SaaS Platform: Subscription-based web service providing bias-adjusted climate projections with sector indexes. Offers free trial for initial use, then paid experiments for further access.

Pricing tiers

ModelBillingPrice
FreemiumPay-as-you-goFree trial tier for Climadjust
SubscriptionPay-as-you-goPaid experiments for Climadjust

Go-to-market motion2 records

Distribution channels3 records

Marketing channels4 records

Predictia product offering

Product offering

Core offering

Predictia develops AI-powered custom software solutions for climate, weather, and health data analysis using machine learning and deep learning techniques. Its portfolio includes the Climadjust SaaS platform for bias-adjusted climate projections and a suite of sector-specific interactive visualization tools (COVID Atlas, AdapteCCa, FAO CAVA, Panama Climate Risk Atlas, 2Cnow, EERIE Data Viewer) delivered to international agencies, governments, research institutions, and private companies.

Product overview

Predictia offers a portfolio of AI-powered software solutions for climate, environmental, health, and Earth Sciences data analysis. The core offering is Climadjust (bias-adjusted climate projection web service), supplemented by a suite of domain-specific visualisation platforms including the COVID Atlas (epidemiological tracking), AdapteCCa Climate Scenario Viewer (national climate projections), FAO CAVA (agricultural risk), Panama Climate Risk Atlas, and 2Cnow Viewer (offshore energy). Underpinning the portfolio are advanced AI capabilities: ConvSwin2SR (deep learning super-resolution), cloud emulation for DestinE, and the DestinE Climate Emulator. Products span weather forecasting, seasonal prediction, regional climate projections, health data visualisation, and renewable energy planning, serving governments, universities, international agencies, and private sector clients since 2008.

Differentiator

Problem solved

Functional benefit

Products and services

  • Climadjust Web-based SaaS platform that applies the ISIMIP3 bias-adjustment technique to CMIP6 and CORDEX climate projections, providing ready-to-use climate data with quantified uncertainty and sector-specific indices for insurance, finance, agriculture, and water management.
  • COVID Atlas Interactive epidemiological data visualisation platform tracking COVID-19 evolution across Spain with 25 parameters at municipality and postcode level, using vector tile technology for high-performance rendering. Built for health institutes and epidemiological surveillance systems.
  • AdapteCCa Climate Scenario Viewer Spanish national climate change scenario viewer offering projections from 46 EURO-CORDEX models at 5km resolution with ISIMIP3 bias adjustment. Developed for Fundación Biodiversidad and the Spanish Climate Change Office.
  • FAO CAVA Platform UN Food and Agriculture Organisation's platform for visualising and assessing climate and agricultural risks globally, redesigned by Predictia with a modern interface and interactive tools for agricultural decision-makers.
  • Panama Climate Risk Assessment Atlas Interactive atlas providing current and future climate threat estimations and potential impacts for Panama. Co-developed with Instituto de Hidráulica de Cantabria for Panama's Ministry of Environment.
  • 2Cnow Viewer Interactive viewer for offshore renewable energy production forecasting and climate change-related risks such as sea level rise for France Energies Marines, supporting energy planning for marine renewable installations.
  • EERIE Project Data Viewer Data visualisation platform for the European EERIE project focused on improving representation of ocean eddies and currents in Earth-system models and their climate interactions.
  • ConvSwin2SR Deep learning vision transformer model with 12 million parameters for statistical super-resolution downscaling of ERA5 reanalysis data from ~30km to 5km over the Mediterranean, available on Hugging Face.
  • DestinE Climate Emulator AI-based climate emulator under development for the European Destination Earth initiative that reproduces key outputs of physics-based climate simulations at a fraction of computational cost.
  • Cloud Emulator for DestinE Extremes Digital Twin AI-based cloud modelling component for Destination Earth's Extremes Digital Twin that integrates SEVIRI satellite observations to model short-term cloud coverage (up to 12 hours) at 25km regional resolution for photovoltaic sector planning.
  • Planet4Health Early Warning System Web-based early warning platform for predicting environmental conditions favouring sandfly-borne leishmaniasis transmission in the Iberian Peninsula across multiple forecast time scales.

Quantifiable outcome

  • Bias reduction in air quality predictions: 85% (NO2), 92% (O3), 78% (PM2.5) of stations showed reduced bias with the AQ-BiasCorrection model
  • +2 more outcomes

Companies that use Predictia

Customer profile

Named customers9 records

Segments6 records

Ideal customer profiles4 records

Predictia technology and API

Technology

Technology focussed Yes

API detail

Has API
Yes
API docs
API detail

Core technology

AI maturity

App detail

Integration6 records

AI capability8 records

Feature7 records

Predictia partnerships and signals

Strategic signal

Partnerships

Ten partnerships are on record, tiered core.

  • Barcelona Supercomputing Center (BSC-CNS)coreStrategic or Co-development PartnerPartnership for developing AI-based climate emulator for Destination Earth. BSC-CNS provides access to one of Europe's most powerful supercomputers and contributes previous DestinE experience for integration.
  • Consejo Superior de Investigaciones Científicas (CSIC)coreStrategic or Co-development PartnerPart of the team developing climate emulator for DestinE. CSIC contributes extensive experience in AI techniques application to climate science. Includes Group of Meteorology of Cantabria through IFCA.
  • Jülich Research Centre (FZJ)coreStrategic or Co-development PartnerPartnership for Destination Earth climate emulator development. FZJ brings supercomputing resources and prior DestinE participation ensuring integration across components.
  • Copernicus Climate Change Service (C3S)coreTechnology or IntegrationOngoing commitment to C3S reflected in maintenance and evolution contracts for Climate Data Store. Climadjust uses C3S data and methodologies. Service implemented by ECMWF.
  • ECMWF (European Centre for Medium-Range Weather Forecasts)coreTechnology or IntegrationStrategic partner for Destination Earth initiative. ECMWF leads development of Climate DT and Extremes DT. Predictia selected to develop climate emulator based on Climate DT data. Uses ECMWF SEAS5.1 system.
  • EUMETSATcoreTechnology or IntegrationFunding partner for DestinE cloud emulator development. EUMETSAT operates Meteosat Second Generation satellites providing SEVIRI data used in cloud coverage modeling.
  • Instituto de Física de Cantabria (IFCA)coreStrategic or Co-development PartnerLong-term collaboration on Climadjust development (2020-2022). Collaborates on DestinE cloud emulator deployment. Validation protocols developed with Santander Meteorology Group.
  • Instituto de Hidráulica de CantabriacoreStrategic or Co-development PartnerCo-development partner for Panama Climate Risk Assessment Atlas, developed for Panama Ministry for Environment.
  • Food and Agriculture Organization (FAO)coreTechnology or IntegrationClient for Climate and Agricultural Risk Visualization and Assessment Atlas (FAO CAVA). Predictia provides ongoing maintenance and redesign services for the platform.
  • Fundación BiodiversidadcoreStrategic or Co-development PartnerLong-term partner for AdapteCCa Climate Scenario Viewer development. Predictia has been working with them for years on operational maintenance and updates.

Scale indicators4 records

Recent moves8 records

Expansion highlights7 records

Predictia competitors and assessment

Company assessment

Direct peers

  • Cervest: Cervest delivers AI-powered climate risk modeling (Earth Science AI) covering physical and transition risk for financial and corporate clients. Its science-led, asset-level approach to climate projections and uncertainty characterization is highly analogous to Predictia's Climadjust offering.
  • Climate X: Climate X operates a climate risk analytics SaaS platform with global hazard and financial-loss models for asset portfolios. Its focus on downscaled climate data, sector-relevant indices, and enterprise/financial-sector delivery closely mirrors Predictia's Climadjust positioning.
  • Kettle: Kettle is a deep-learning climate analytics company building a fundamentally different climate model for use in insurance, infrastructure, and risk management. Its AI-first approach to reimagining climate models parallels Predictia's emulator and ConvSwin2SR strategy.
  • The Climate Service: The Climate Service provides climate analytics to financial institutions and corporates, with emphasis on scenario analysis, sector indices, and bias-adjusted projections. Its enterprise software model for climate risk decision-making aligns closely with Predictia's insurance/finance use cases.
  • reask: reask builds high-resolution climate catastrophe models for (re)insurance and risk capital deployment, using AI and stochastic techniques. Its specialty in extreme event and wind/hazard modeling shares technical DNA with Predictia's downscaling work and DestinE Extremes Digital Twin participation.
  • Risilience: Risilience provides climate analytics software for financial institutions and corporates, including transition and physical risk scenario analysis aligned to TCFD/IFRS S2. Its UK-based enterprise platform competes with Predictia's insurance and finance vertical offerings.
  • Jupiter Intelligence: Jupiter Intelligence is a US-based climate risk analytics platform serving insurers, asset managers, and infrastructure owners with physical and transition risk scoring. It directly overlaps Predictia's insurance/finance segment and emphasizes downscaled global climate hazard models combined with software delivery to enterprise buyers.

Emerging players

  • Descartes Underwriting: Descartes Underwriting offers parametric climate insurance built on proprietary hazard and climate modeling capabilities. Its use of climate models for insurance product design is adjacent to Predictia's insurance/finance sector focus, though it operates as a carrier rather than a pure analytics vendor.
  • ClimateAI: ClimateAI provides a climate intelligence platform aimed at enterprise supply chain and operations resilience. While overlapping on climate analytics, its focus is on enterprise risk operationalization rather than the government/international-organization bias of Predictia.

Broad incumbents

  • Tomorrow.io: Tomorrow.io (formerly ClimaCell) is a broader weather and climate intelligence platform combining proprietary data, AI forecasting, and SaaS APIs. It addresses adjacent climate analytics needs but at much larger scale and with proprietary observation assets that Predictia lacks.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights6 records

Customer concentration

Predictia social profiles

Digital presence

Predictia compliance and trust

Trust signal

Compliance1 record

Predictia financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Predictia leadership team

Management profile

Number of profiles

Profiles1 record

Predictia funding detail

Funding detail

Funding overview

Funding rounds

Investors

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

Predictia 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 Predictia

What does Predictia do?

Predictia develops AI-powered custom software solutions for climate, weather, and health data analysis using machine learning and deep learning techniques. Its portfolio includes the Climadjust SaaS platform for bias-adjusted climate projections and a suite of sector-specific interactive visualization tools (COVID Atlas, AdapteCCa, FAO CAVA, Panama Climate Risk Atlas, 2Cnow, EERIE Data Viewer) delivered to international agencies, governments, research institutions, and private companies.

Is Predictia a public or private company?

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

When was Predictia founded?

Predictia was founded in 2008. It employs 11 to 50 people.

Where is Predictia based?

Predictia is headquartered in Santander, Spain, in the Europe region.

How does Predictia make money?

Two revenue lines are on record. Custom Software Development is the primary driver. The others are climadjust SaaS Platform.

Who are Predictia's main competitors?

Direct peers on record are Cervest, Climate X, Kettle, The Climate Service, reask, Risilience and Jupiter Intelligence. Emerging players are Descartes Underwriting and ClimateAI. Tomorrow.io is listed as a broad incumbent.

Does Predictia have an API?

Yes. Climadjust offers API access upon request for tailored climate services. Users can contact the team via [email protected] to request API access for integrating bias-adjusted climate projections into their workflows.

Unlock the full company data

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

Contact sales