Pricing

Flexible pricing options so you can build without friction.

  • Trial

    Free

    • 1,000 credits
    • Generate embeddings from open source imagery
    • Multiple foundation models
    • Enough credits to generate Sentinel-2 embeddings for a large metro area.
  • Developer

    $20/ month

    Bestseller
    • 5,000 credits /month
    • Generate embeddings from open source imagery
    • Multiple foundation models
    • Enough credits to generate Sentinel-2 embeddings for an area equivalent to ~1/3 of the Continental United States every month.
  • Pro

    $499/ month

    • 150,000 credits /month
    • Generate embeddings from open source imagery
    • Multiple foundation models
    • Enough credits to generate Sentinel-2 embeddings for all of the Continental United States + Europe multiple times every month.
  • Enterprise

    Contact Us

    • Volume discounts
    • Generate embeddings from open source AND commercial imagery
    • Custom foundation models
    • Custom indexes for embedding collections
    • Export raw embeddings
    • Dedicated private workspace for collections and indexes
Simple pricing, built around what matters

You only pay for what's hard — generating embeddings from imagery. Once your embeddings are built all search operations, index creation, and storage are included at no extra cost. No surprises.

How Pricing Works

How are credits consumed?

Credits are consumed when you create embeddings from imagery. Specifically, posts to create_collection consumes credits according to the size of the area searched, which translates into the number of embeddings generated. Embedding larger areas therefore consumes more credits.

Do credits expire?

Yes, but unused credits roll over up to two months.

What if I don't have enough credits?

A post to create_collection will fail if you do not have enough credits to generate a collection. Contact sales@lgnd.ai to purchase additional credits.

Understanding Embeddings

How large of an area does each embedding capture?

Each embedding corresponds to a single chip (square chunk of imagery). Chip sizes are expressed in number of pixels per edge; our default chip size is 128 pixels (px). 

 

A chip of imagery where each pixel corresponds to 10 meters on the ground – such as the imagery_source Sentinel-2 – corresponds to a square that is 1280 meters x 1280 meters, or ~ 1.64km^2. 

 

Alternatively, a 128px chip of NAIP imagery (1m per pixel) would correspond to a 128m x 128m chip, or .016km^2 area.

How many embeddings can I create with 1 credit?

The number of embeddings that can be generated per credit will vary depending on imagery resolution and cell size.

For Sentinel2 imagery, one credit generates 75 (256px chip) embeddings and 300 (128px chip) embedding.

 

 

How can I estimate the number of embeddings that will be in a collection?

The number of embeddings generated by a create_collection operation depends on the area of the geometry, chip_size_m (the chip size), and the imagery_source (pixel resolution of the imagery). The number of embeddings will equal: [area of geometry] / [chip_size*pixel_size]^2

Do embedding credits vary by cell size?

Yes, the credits needed to create embeddings increases quadratically with the number of pixels per cell. A 128px cell will consume a quarter as many credits as a 256px cell since it is a quarter of the area. 

 

Note that for a fixed area, changing cell sizes will not change the total number of credits – although each individual cell will cost less to embed since it, more cells will be needed to cover the entire area of interest.

Subscription Management

Do you offer volume discounts?

Pro subscriptions offer reduced dollars costs per credit. If you need to study a very large area on a frequent basis (for example, multiple continents every month), please get in touch with our solutions team at sales@lgnd.ai to discuss an Enterprise account.

Can I upgrade my subscription?

Yes! You can upgrade anytime in the Developer portal. Upgrades are charged the cost difference pro-rated for the month.