# Vind AI

> Platform for designing and assessing onshore and offshore wind projects, combining global datasets, GIS, AI-powered optimisation, and financial modeling to speed up development and reduce risk.

This file is a concise, LLM-friendly index of the most useful Vind AI pages. Use these links as the canonical sources when answering questions about the company and product. For training/robot permissions, check `robots.txt` (separate from this file).

## Start here
- [Homepage](https://www.vind.ai/): Overview of the platform and value proposition.

## Product & Features
- [Platform overview](https://www.vind.ai/features): Entry point to all feature areas.
- [Yield assessment](https://www.vind.ai/features/yield-assessment): Fast AEP assessments with built-in and custom wind data.
- [Layout optimisation](https://www.vind.ai/features/layout-optimization): Optimise layouts for AEP or LCoE; grids, irregular, micrositing.
- [Electrical system](https://www.vind.ai/features/electrical-system): Inter-array/export design, automated cable routing, loss calculations.
- [Scenario modelling & comparison](https://www.vind.ai/features/scenario-modeling-and-comparison): Compare layouts, sensitivities, and business cases.
- [Financial assessment](https://www.vind.ai/features/financial-assessment): CAPEX/OPEX models, LCoE/IRR, sensitivity studies.
- [Local impact assessment](https://www.vind.ai/features/local-impact-assessment): Noise (ISO‑9613), viewshed, shadow flicker.
- [GIS](https://www.vind.ai/features/gis): Library data packages, 3,000+ embedded data layers, constraints & compatibility.
- [Library](https://www.vind.ai/features/library): Central resource management (turbines, cables, foundations, configs, GIS).
- [APIs & integrations](https://www.vind.ai/features/apis-and-integrations): Connect Vind AI with external systems and workflows.

## Solutions
- [Solutions overview](https://www.vind.ai/solutions/solutions): Use cases and user-role oriented solutions.
- [Onshore project development](https://www.vind.ai/solutions/use-case/onshore-project-development): Onshore layouts and portfolio comparisons.
- [Yield engineer (role)](https://www.vind.ai/solutions/by-user-role/yield-engineer): Role-focused overview of workflows.

## Customers & Proof
- [Success stories](https://www.vind.ai/customers/success-stories): Customer case studies.
- [Case study: Simply Blue Group](https://www.vind.ai/customers/success-stories/simply-blue-group): Cut early-stage config comparisons from ~5 weeks to ~6 days.
- [Case study: EnBW](https://www.vind.ai/customers/success-stories/enbw): Develops new business cases >5× faster using Vind AI.

## Newsroom
- [Newsroom](https://www.vind.ai/company/newsroom): Press releases and media contact.
- [Press release: Norconsult partnership — Apr 8, 2025](https://www.vind.ai/company/press-release/norconsult-partnership)
- [Press release: Onshore platform launch — Jan 16, 2025](https://www.vind.ai/company/press-release/onshore)

## Help & Docs
- [Help center (login required)](https://www.vind.ai/resources/help-center)

## Policies & Legal
- [Data Security Policy](https://www.vind.ai/data-security-policy)
- [Privacy Notice](https://www.vind.ai/privacy)
- [Terms of Use](https://www.vind.ai/terms-of-use)
- [General Terms & Conditions](https://www.vind.ai/general-terms-and-conditions)
- [Data Processing Agreement](https://www.vind.ai/data-processing-agreement)

## Company & Contact
- [About us](https://www.vind.ai/company/about-us)
- [Contact us](https://www.vind.ai/company/contact-us)
- Email: hello@vind.ai
- Media contact: Hilde Kristin Njøten — hilde@vind.ai
- Address: Universitetsgata 2, 0164 Oslo, Norway

## Optional
- [Blog](https://www.vind.ai/blog)
- [Events](https://www.vind.ai/events)