Windscape.ai

What Windscape.ai does

Windscape.ai (Windscape AI, Inc.) is a Berkeley, California-based seed-stage startup founded in 2021 that develops AI-powered software to improve the operational efficiency of utility-scale wind farms. The company's core offering is a SaaS platform that ingests data from proprietary, solar-powered barometric pressure sensors deployed as IoT arrays across wind farm landscapes and uses machine learning models to generate sub-minute imminent wind predictions and wake detection alerts. These alerts are delivered to existing automated turbine controllers, enabling operators to pre-position turbines to maximize energy capture and reduce equipment wear.

The underlying technology relies on patented methods for deriving wind pattern signals from pressure data, a sensor hardware layer that the company describes as small, solar-powered, and IoT-connected, and ML models trained on time-series sensor data. The company has three pilot installations with potential wind farm customers and reports encouraging modeling results. It claims that independent studies predict an average 2% increase in electricity production from imminent wind alerts, which the company translates into over $1 billion per year of additional energy value at current market conditions.

Windscape sells its platform through a direct, field-sales-led enterprise motion targeting wind farm developers and operators, with pricing not publicly disclosed. Revenue mechanics are structured as a recurring SaaS subscription, and the company claims a 1000+% customer ROI based on energy capture gains. The firm is led by cofounders Jason Yosinski (CEO, ML research veteran with prior leadership at Uber and Cornell/Bengio lineage) and Eric Thompson (CCO, wind industry veteran with prior founder/BD roles at Nordic Windpower, Natel Energy, and Ensemble Energy), supported by technical advisers Deval Pandya (Vector Institute, Shell New Energies) and Joe Pasquariello (founder of Fenway Systems). Capital sources disclosed to date consist of a $275,000 NSF SBIR Phase I grant awarded in August 2023 and accelerator participation with the Batchery (2021), Third Derivative (2023), and Third Deriv (2024).

Name

Windscape.ai

Legal name

Windscape AI, Inc.

Website

https://windscape.ai

Company type

Private

Founded year

2021

Operating status

Operating

Headcount range

1–10 employees

Short description

Windscape.ai builds AI-powered SaaS that predicts imminent wind from on-site solar-powered IoT pressure sensors, delivering alerts to turbine controllers for enterprise wind farm operators to increase energy capture.

Ownership category

akta.pro rank

Product category

Wind Energy Optimization Software

NAICS

Computer Systems Design and Related Services (54151)

SIC

Services-Computer Integrated Systems Design (7373)

akta.pro primary industry

Wind Resource Assessment & Energy Yield Analytics (Met Masts, LiDAR, Modeling) (EUAMACAJ)

akta.pro secondary industries

Wind Operations, Maintenance & Asset Management (Scheduled/Unscheduled) (EUAMACAH), Renewables Monitoring & Controls (Solar/Wind/Hydro Edge) (EUADAPAF)

Keywords

• Wind farm optimization
• AI wind prediction
• Renewable energy software
• IoT wind sensors
• Wind energy analytics

Headquarters

HQ city

Berkeley

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Supply Chain, Operations, Marketing or Sales

Revenue model

1. SaaS Wind Prediction Platform: The company delivers imminent wind alerts and wake detection as a SaaS application to wind farm owners, who gain increased revenue, uptime, and ROI through the service.

Go-to-market motion1 record

Distribution channels1 record

Marketing channels3 records

Core offering

Windscape AI delivers a SaaS platform that provides imminent wind alerts and wake detection to wind farm operators, enabling automated turbine controllers to optimize positioning for maximum energy capture and equipment protection. The platform is powered by AI and machine learning models trained on data from solar-powered barometric pressure sensors deployed as IoT arrays across wind farm landscapes. The solution integrates with existing turbine control systems and targets enterprise wind farm owners seeking to increase electricity production and reduce equipment wear.

Product overview

Windscape AI offers a unified SaaS platform for wind farm optimization, consisting of a hardware component (solar-powered barometric pressure sensors) and a software component (AI-powered wind prediction SaaS). The sensors are deployed across wind farm landscapes in an IoT-connected array, feeding real-time pressure data to machine learning models that generate imminent wind alerts delivered as a SaaS application. The product integrates with existing automated turbine controllers to optimize turbine positioning for maximum energy output and equipment protection.

Differentiator

Problem solved

Functional benefit

Products and services

• Windscape AI SaaS Platform A SaaS application that delivers imminent wind alerts and wake detection to automated turbine controllers, enabling wind farm operators to maximize energy capture and reduce equipment wear. The platform uses AI and machine learning to process data from solar-powered barometric pressure sensors deployed across wind farms. It integrates with existing turbine control systems to optimize turbine positioning in real-time.
• Solar-Powered Barometric Pressure Sensors Small solar-powered IoT-connected sensors placed around wind farm landscapes that measure barometric pressure changes to detect incoming wind patterns. The sensors form a connected array for real-time environmental data collection, providing the input data stream for Windscape AI's machine learning models.

Quantifiable outcome

• 2% average increase in electricity produced
• +2 more outcomes

Named customers1 record

Segments1 record

Ideal customer profiles1 record

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability3 records

Feature3 records

Scale indicators8 records

Recent moves6 records

Expansion highlights5 records

Direct peers

• WindESCo: WindESCo sells AI-driven wind farm performance optimization SaaS to wind farm owners/operators, directly competing with Windscape's "maximize energy capture + reduce wear" use case via SCADA-data analytics.
• ONYX InSight: ONYX InSight offers wind-farm condition monitoring, predictive analytics, and O&M optimization driven by sensor and SCADA data — a direct competitive analog in delivering AI insights to wind operators.
• StormGeo: StormGeo provides high-resolution wind forecasting and energy weather analytics to wind farm operators globally; it competes on the forecast/optimization layer that Windscape's imminent-prediction products address.
• Vortex / Vortex Energy: Vortex provides wind resource assessment, energy yield forecasting, and operational analytics using modeled and LiDAR data — directly comparable to Windscape's predictive wind-input layer used for turbine optimization.
• Fenway Systems: Fenway Systems (founded by Windscape adviser Joe Pasquariello) provides SCADA, met data acquisition, and wind turbine control systems installed on 7,000+ turbines; an incumbent in the same controls/data layer Windscape integrates against.

Others

• Natural Power Consultants: Natural Power offers wind farm technical advisory, resource assessment, and O&M/asset management services, often incorporating analytics; an adjacent/complementary peer rather than direct SaaS competitor.

Broad incumbents

• GE Vernova: GE Vernova, via its wind turbine OEM and digital wind farm software, bundles controls, analytics, and SCADA across global fleets — the dominant broad incumbent Windscape must either partner with or displace at the AI-prediction layer.
• Vestas: Vestas is the world's largest wind turbine OEM and increasingly sells digital/optimization services through its turbine-installed base, creating both partnership and competitive pressure for software-first players like Windscape.
• Siemens Gamesa Renewable Energy: Siemens Gamesa combines wind turbine manufacturing with digital services and wind farm controls; a major broad incumbent whose installed-base data and OEM relationships could either block or acquire imminent-prediction functionality.
• AutoGrid (Ørsted): AutoGrid, acquired by Ørsted, provides AI-based energy optimization across DERs and renewable assets including wind; an analogous energy-AI incumbent that could expand into imminent wind prediction through its renewable portfolio customers.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights7 records

Customer concentration

• LinkedInlinkedin.com/company/windscape-ai

Revenue estimate

Valuation estimate

Number of profiles

Profiles4 records

Funding overview

Funding rounds3 records

Investors3 records

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

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Windscape.ai