Vind AI
- Company typePrivate
- Founded2022
- HeadquartersOslo, Norway
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
Vind AI firmographics
Firmographics- Name
- Vind AI
- Legal name
- Vind AI
- Website
- https://vind.ai
- Company type
- Private
- Founded year
- 2022
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Ownership category
- akta.pro rank
Vind AI industry classification
Industry- Product category
- Renewable Energy Project Design Software
- NAICS
- Wind Electric Power Generation (221115), Solar Electric Power Generation (221114)
- SIC
- Services-Computer Integrated Systems Design (7373), Services-Computer Programming Services (7371)
- akta.pro primary industry
- Wind Turbine OEMs & System Integration (Nacelle/Generator/Controls) (EUAMACAC)
- akta.pro secondary industry
- Advanced Wind Technology R&D (Floating Offshore, Airborne Wind, New Rotor/Blade Concepts) (EUAMAOAB)
Keywords
Where Vind AI is headquartered
LocationHeadquarters
- HQ city
- Oslo
- HQ country
- Norway
- HQ region
- Europe
Offices1 record
Markets served
Vind AI business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Marketing or Sales, Infrastructure, Operations
Revenue model
- SaaS Platform Subscription: Subscription-based access to the Vind AI digital platform for wind project design and assessment. Pricing is customized based on organizational needs and scope.
- Data Services: Additional revenue from specialized wind data packages through Norconsult Kjeller Vindteknikk partnership for enhanced site-specific analysis
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Custom Enterprise Subscription |
Go-to-market motion2 records
Distribution channels2 records
Marketing channels7 records
Vind AI product offering
Product offeringCore offering
Vind AI operates a cloud-based SaaS platform that helps wind and hybrid energy project developers plan, design, and assess wind, solar, and battery projects. The platform integrates more than 4,000 geospatial data layers with advanced optimisation algorithms to deliver energy yield assessment, automated turbine layout optimisation, electrical system design, financial modelling (IRR, LCoE), and portfolio-level comparison in a single collaborative workspace for onshore and offshore developers.
Product overview
Vind AI is a cloud-based digital platform for wind and hybrid energy project design and assessment, offering a unified platform-plus-modules architecture. The core Vind AI Platform integrates over 4,000 data layers with advanced optimisation algorithms to deliver yield assessment, layout optimisation, financial analysis, and cross-functional collaboration in a single workspace for both onshore and offshore wind projects. The platform is organised around several core feature modules — Advanced Yield Assessment, Layout Optimisation, Scenario Modelling and Comparison, Electrical System Design, Financial Assessments, Portfolio Assessment, Local Impact Assessment, Central Data Repository (Library), GIS Data, and APIs and Integrations — which are accessed through tailored solution variants for Engineers & Analysts and Project Leadership Roles. Vind AI for Onshore Wind and Vind AI for Offshore Wind provide domain-specific configurations, while Solar & Battery is a recently launched add-on module extending the platform to support co-located wind, solar and battery hybrid projects as a single integrated system, enabling automatic updates to yield projections and financial outputs as design parameters change.
Differentiator
Problem solved
Functional benefit
Products and services
- Vind AI Platform Cloud-based digital platform for the design and assessment of wind, solar and battery projects, integrating 4,000+ geospatial data layers with advanced optimisation algorithms to deliver yield assessment, layout optimisation, financial modelling, electrical system design, and portfolio-level collaboration for onshore and offshore wind developers.
- Solar & Battery Extension of the Vind AI platform enabling wind developers to design and evaluate co-located wind, solar and battery projects as one integrated system within a unified, automatically updated environment. Replaces fragmented spreadsheet workflows with a shared system model where engineering changes trigger automatic updates to yield and financial outputs at both project and portfolio level.
Quantifiable outcome
- Business case development time reduced from weeks to approximately 4 weeks with 2 people using Vind AI, compared to traditional methods requiring larger teams
- +4 more outcomes
Companies that use Vind AI
Customer profileNamed customers18 records
Segments4 records
Ideal customer profiles3 records
Vind AI technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration6 records
AI capability5 records
Feature11 records
Vind AI partnerships and signals
Strategic signalPartnerships
Three partnerships are on record, tiered strategic and key.
- Whiffle AIstrategicNew partnership to detect wind wake losses early, enabling developers to test multiple wind farm layouts quickly and improve wind farm efficiency and planning
- ThemakeyEnergy market data partnership integrating Thema's electricity price projections for Europe directly within Vind AI platform to strengthen financial modeling capabilities
- Norconsult Kjeller VindteknikkkeyStrategic partnership providing advanced wind data with over 25 years of experience in wind measurements and modeling. Users gain access to more granular and precise data for areas where local variations are crucial.
Scale indicators4 records
Recent moves6 records
Expansion highlights5 records
Vind AI competitors and assessment
Company assessmentDirect peers
- EMD International (WindPRO): WindPRO by EMD International is a leading wind resource assessment and wind farm design software widely used by wind developers globally. It is the closest direct competitor to Vind AI in wind project design, yield assessment, and layout optimization, serving the same enterprise customers with a more established installed base.
- WindSim: WindSim provides CFD-based wind resource assessment and wind farm design software, used by wind developers and engineering consultancies. It overlaps with Vind AI on advanced wake modeling, layout optimization, and yield assessment, particularly for complex terrain and offshore applications.
- ReSoft (EasAero / WindFarm): ReSoft offers EasAero and WindFarm software for wind resource assessment and wind farm design. It is a direct competitor in the same wind project design and yield assessment category as Vind AI, used by wind developers and consultancies.
- UL Solutions (OpenWind): UL Solutions acquired the OpenWind software suite, a long-established wind farm design and wake modeling tool used across the wind industry. It competes directly with Vind AI on wind project design, energy yield, and layout optimization, with strong bankability credentials and deep enterprise adoption.
Emerging players
- Aurora (Energy Research): Aurora provides a renewable energy project economics and asset management platform covering solar, wind, and storage. It overlaps with Vind AI in financial modeling and scenario analysis for renewable project development, with an adjacent but broader scope.
- RatedPower (pvDesign): RatedPower offers pvDesign, a cloud-based solar PV plant design and engineering software. It is a parallel emerging SaaS player to Vind AI in renewable project design, now increasingly overlapping as Vind AI extends into Solar & Battery hybrid projects.
- Whiffle: Whiffle is a Dutch technology company that uses Large Eddy Simulation (LES) for high-resolution wind resource and wake modeling. It is both a Vind AI technology partner (announced December 2025 for wake loss detection) and an emerging player in the wind modeling space with overlapping technology and customers.
Others
- Norconsult (Kjeller Vindteknikk): Norconsult's Kjeller Vindteknikk division is a leading wind data and consulting firm providing advanced wind measurements, modeling, and resource assessments. It is a Vind AI data partner (April 2025) and an adjacent ecosystem player serving many of the same wind developer customers.
- K2 Management (wind advisory): K2 Management is a global wind energy technical advisory firm that supports wind project development, owner engineering, and asset management. It is an adjacent ecosystem participant whose services overlap with Vind AI's customers and use cases, and represents both a potential partner and alternative for project design work.
Broad incumbents
- DNV (GH WindFarmer / WindFarmer): DNV is a global energy advisory and certification firm that also offers WindFarmer, a long-established wind farm design and energy yield assessment software. DNV is both a Vind AI partner/investor and a direct competitor in wind project design software, serving the same enterprise wind developer customers with a broader portfolio of services.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat5 records
Key risks6 records
Key highlights6 records
Customer concentration
Vind AI social profiles
Digital presenceVind AI compliance and trust
Trust signalCompliance1 record
Vind AI financial estimates
Financial estimateRevenue estimate
Valuation estimate
Vind AI leadership team
Management profileNumber of profiles
Profiles5 records
Vind AI funding detail
Funding detailFunding overview
Funding rounds1 record
Investors2 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Vind AI 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 Vind AI
What does Vind AI do?
Vind AI operates a cloud-based SaaS platform that helps wind and hybrid energy project developers plan, design, and assess wind, solar, and battery projects. The platform integrates more than 4,000 geospatial data layers with advanced optimisation algorithms to deliver energy yield assessment, automated turbine layout optimisation, electrical system design, financial modelling (IRR, LCoE), and portfolio-level comparison in a single collaborative workspace for onshore and offshore developers.
Is Vind AI a public or private company?
Vind AI is a private company. It is classified as venture growth investor backed and is currently operating.
When was Vind AI founded?
Vind AI was founded in 2022. It employs 11 to 50 people.
Where is Vind AI based?
Vind AI is headquartered in Oslo, Norway, in the Europe region.
How does Vind AI make money?
Two revenue lines are on record. SaaS Platform Subscription is the primary driver. The others are data Services.
Who are Vind AI's main competitors?
Direct peers on record are EMD International (WindPRO), WindSim, ReSoft (EasAero / WindFarm) and UL Solutions (OpenWind). Emerging players are Aurora (Energy Research), RatedPower (pvDesign) and Whiffle. Others are Norconsult (Kjeller Vindteknikk) and K2 Management (wind advisory). DNV (GH WindFarmer / WindFarmer) is listed as a broad incumbent.
Does Vind AI have an API?
Yes. Vind AI is built with an API-first architecture that enables users to connect external geospatial data sources directly, including 4C Offshore and any public service with an ArcGIS REST API, WMS, WFS or WMTS. APIs are designed with flexibility in mind, allowing users to tailor them to unique workflows and requirements. The platform supports easy upload of existing data (e.g., technical data on turbines or wind data in Vortex format) and provides real-time data syncing across users. Developer documentation is at www.vind.ai/platform/apis-and-integrations.
What industry is Vind AI in?
Vind AI's product category is Renewable Energy Project Design Software. Its primary akta.pro industry code is EUAMACAC, Wind Turbine OEMs & System Integration (Nacelle/Generator/Controls), with a secondary code of EUAMAOAB, Advanced Wind Technology R&D (Floating Offshore, Airborne Wind, New Rotor/Blade Concepts). Its NAICS code is 221115 and its SIC code is 7373.