Frequently Asked Questions

General

How do I get started?

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Book an onboarding call with our team to discuss the right usage plan for your use case here.

How much does Maya cost?

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The pricing depends on your usage and the analysis jobs that you want to access. Get a quote here.

For what use cases is Maya best suited?

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Maya covers several use cases and industries.

Use Cases: NbS Eligibility & Feasibility Studies, TNFD & Nature Strategy Reports, EUDR & Deforestation Reports, Environmental Assessments (e.g., for EIA), Climate Risk Assessments (e.g., for EU Taxonomy).

Industries: Nature-based Solutions, Forestry & Agriculture, Financial Services & Insurance, Energy & Power, Architecture, Engineering & Construction. 

Users can configure their own assessment pipelines (i.e., a set combination of analyses), ensuring that they have all the necessary analyses for their day-to-day operations and specific use cases.

What type of analysis jobs can I automate with Maya?

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Our infrastructure is very flexible, and you can run analysis jobs on public, commercial, or proprietary datasets. For a comprehensive look at our analysis offerings, please check out our detailed Analysis Catalog.

Are there any training programs or webinars available for learning how to use Maya?

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Yes, we are about to launch a wide range of video tutorials on how to use Maya. In the meantime, you can find relevant material on our blog, including recordings of previous webinars.

Will my data be used for training an AI/LLM?

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Absolutely not! Your data will not be used for training our AI or for any other purpose or shared with any third party. For more details please visit our Data Processing Agreement in the footer section.

Datasets

Who developed the datasets that Maya is integrating?

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Integrated public datasets are developed by globally leading research institutes. Enterprise users can also access commercial data from companies that have developed their own datasets.

For a full list of analyses available on Maya, along with details about their underlying datasets and dataset providers, please visit our Analysis Catalog.

Can I host my own datasets & models on Maya?

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Please reach out to our customer success team to understand the options and limitations for proprietary data and model hosting here.

What happens if you don’t have a dataset I need?

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You can suggest a new dataset here: Submit Dataset Request.

How frequently is the data on Maya updated?

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The data on Maya is updated as often as the respective datasets are refreshed. For example, the Hansen Global Forest Change dataset is updated approximately once per year, while the Dynamic World dataset is updated continuously, every few days.

Analysis

Does Maya have global coverage?

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Yes, most datasets integrated into Maya provide global coverage. Additionally, we offer select regional datasets to enhance your analysis, such as the Keetch-Byram Drought Index (KBDI), tailored to assess drought conditions in Asia.

What is the size limitation for project areas?

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All our customers have an area limit of 5 million hectares, which increases to 10 million hectares for our enterprise customers. If you want to analyze larger areas, let us know, and we will increase the maximum project area to meet your needs.

How does Maya ensure the accuracy of results?

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The accuracy of the results depends on the model utilized or developed for the respective datasets used for Maya’s automated analyses. Maya doesn't perform an independent assessment of accuracy. Please check out the dataset sources in our Analysis Catalog for the official validation done by the dataset providers.

Does Maya support historical data analysis, and how far back can the data go?

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Yes, many of the datasets integrated into Maya are based on retrospective analysis. Some datasets go back as far as 1999 (e.g., NDVI based on Landsat) or 2000 (e.g., Hansen Forest Cover & Surface Water Changes). As long as the dataset is available for that time period, you can use it for your historical analysis.

What customization options are available in Maya for analyses?

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For all analyses, users can select the specific years they want to assess. Further customization options depend on the underlying dataset.

For example, with the Hansen Forest Cover dataset, users can customize the canopy cover threshold. Lowering the Hansen dataset’s threshold (Maya default = 30%) is particularly useful in regions with generally sparse forest coverage, such as certain areas in Africa where tree cover is naturally less dense.

For the eligible area analysis based on Dynamic World or Hansen, users can also select which land cover classes they consider eligible, choose a minimum plot size for eligible areas, define a buffer size around non-eligible areas, and more.

Please contact us if you require any specific customization options for your analyses that are not yet available.

Reports

In what format do I get the pipeline outputs and reports, and can I export them?

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You can share online links with your partners to directly access the reports through Maya or export the reports in Word format. Depending on your subscription plan, you can also use our API.

What customization options are available in Maya for reports?

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Maya's Report Builder gives users full control over creating and editing reports. With this tool, users can:
- Edit and version report text.
- Use pre-defined or custom prompts to edit text outputs with AI. 
- Import widgets from a pipeline.
- Add new text widgets.
- Drag and drop widgets to rearrange their order.
- Adjust the width of charts and maps (full width/half width).
- Activate/deactivate footnotes and titles within text widgets.
- View the structured data used in AI context.

What part of the results are AI-generated?

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All map and chart outputs in Maya are generated directly from the underlying datasets without the involvement of AI during the initial calculation phase. This ensures that the analyses are purely data-driven, reflecting the most accurate and reliable information available.

Once these outputs are created, AI comes into play in the next step. The AI assists by translating complex data into clear, understandable text commentary, making it easier for users to interpret the results and draw meaningful insights.

Additionally, the AI chatbot is available to answer questions about the analyses in your report. It can provide explanations, clarify data points, and assist with further analysis by correlating different outputs. For example, AI can help you understand the relationship between deforestation and historic fire events by correlating these datasets' outputs.