vind.ai valid
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.
For agents: Platform for designing and assessing onshore and offshore wind projects, with yield assessment, layout optimisation, electrical design and financial modelling.
wind farm designwind energylayout optimisationyield assessmentenergy project modelling
- Authority
- 46 reach 0 · trust 10 · quality 21 · freshness 15
- Tier
- listed
- llms.txt
- https://www.vind.ai/llms.txt
- Sections
- 9
- Links
- 30
- Size
- 3772 bytes
- Registered
- 2022-05-02
- Country
- United States Hosting inference
- Hosting country
- United States Hosting inference
- Country evidence
- No published address evidence collected yet
- Categories
- AI and machine learning · Energy and utilities · Business software
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- Inferred actions
- Read documentation About these labels
- Audience
- business · agents can: read docs · en
- First seen
- 2026-10-24T02:30:19.652Z
- Last checked
- 2026-10-24T02:30:21.407Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-24T02:30:19.660Z. Cached copy · Source on vind.ai
# 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)
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