# Models

Global Nature Watch is powered by a sophisticated multi-model AI architecture, meaning we don't rely on just one large language model (LLM) for all tasks. Instead, we strategically combine the strengths of several specialized AI models, including leading LLMs like those from Anthropic, OpenAI and Gemini, which we continuously evaluate and optimize.&#x20;

<mark style="background-color:$primary;">**How it works:**</mark>&#x20;

1. **Processing your intent**: When you ask Global Nature Watch a question, we use LangChain to process the natural language and determine your intent. This allows us to select the best AI models and analysis tools for the response.&#x20;
2. **Retrieving quality data**: Our data comes via APIs from Global Forest Watch and Land & Carbon Lab, platforms powered by contributions from researchers and partners around the globe. This means verifiable data from authoritative sources.
3. **Composing a response**: The AI synthesizes the best response based the information at hand: user prompt, analyzed data and relevant context.&#x20;
4. **Returning a response**: Our agents are currently able to create spatial summary statistics, perform dataset searches and return natural-language summaries.
