Predictia
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.
- Company typePrivate
- Founded2008
- HeadquartersSantander, Spain
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
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
LocationHeadquarters
- 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
- 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.
- 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
| Model | Billing | Price |
|---|---|---|
| Freemium | Pay-as-you-go | Free trial tier for Climadjust |
| Subscription | Pay-as-you-go | Paid experiments for Climadjust |
Go-to-market motion2 records
Distribution channels3 records
Marketing channels4 records
Predictia product offering
Product offeringCore 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 profileNamed customers9 records
Segments6 records
Ideal customer profiles4 records
Predictia technology and API
TechnologyTechnology 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 signalPartnerships
Ten partnerships are on record, tiered core.
- Barcelona Supercomputing Center (BSC-CNS)corePartnership 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)corePart 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)corePartnership for Destination Earth climate emulator development. FZJ brings supercomputing resources and prior DestinE participation ensuring integration across components.
- Copernicus Climate Change Service (C3S)coreOngoing 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)coreStrategic 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.
- EUMETSATcoreFunding 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)coreLong-term collaboration on Climadjust development (2020-2022). Collaborates on DestinE cloud emulator deployment. Validation protocols developed with Santander Meteorology Group.
- Instituto de Hidráulica de CantabriacoreCo-development partner for Panama Climate Risk Assessment Atlas, developed for Panama Ministry for Environment.
- Food and Agriculture Organization (FAO)coreClient for Climate and Agricultural Risk Visualization and Assessment Atlas (FAO CAVA). Predictia provides ongoing maintenance and redesign services for the platform.
- Fundación BiodiversidadcoreLong-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 assessmentDirect 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 presencePredictia compliance and trust
Trust signalCompliance1 record
Predictia financial estimates
Financial estimateRevenue estimate
Valuation estimate
Predictia leadership team
Management profileNumber of profiles
Profiles1 record
Predictia funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Predictia M&A and investment
M&A and investmentM&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.