Pricing

Simple, usage-based pricing.

Only pay for the resources you use.

Workflows offer an orchestration platform for scalable analyses. Access Latch Verified workflows, upload any bioinformatics workflow with flexibility, and empower scientists to self-serve.

Workflows incur costs based on runtime and resource usage:

Resource

Cost (Credits*)

CPU

0.0000583/core/s

0.003498/core/m

RAM

0.00000277/GiB/s

0.000166/GiB/m

GPU

24 GiB of VRAM and
9,216 CUDA cores

0.000222/GPU/s

0.0132/GPU/m

*1 Credit = $1

Examples

The Latch Verified Bulk RNA-Seq Workflow consists of 4 tasks with varying compute sizes per task. Running 8 samples (30x coverage, average ~1.2 GB file size) costs a total of 14.101 credits with a runtime of 18 minutes and 8.3 seconds on Latch.

Breakdown of each task cost:

  1. Formatting inputs (4 CPU Cores, 8 GiB RAM): 0.002 credits
  2. Trimgalore & Salmon (96 CPU Cores, 192 GiB RAM): 13.521 credits
    (this step consists of 8 subtasks for each sample run in parallel with an average cost of 1.690 credits)
  3. LeafCutter (32 CPU Cores, 128 GiB RAM): 0.376 credits
  4. Count Aggregation & MultiQC (32 CPU Cores, 128 GiB RAM): 0.202 credits

LatchBio offers you a pay-as-you-go approach, only charging for computation and storage on a per-resource basis. No subscriptions, licensing fees, or per-seat charges.

Pay for what you need, as you need it. Credits ($1 = 1 Credit, with discounts for enterprise customers) on the LatchBio platform never expire, and can be used across all product areas (Workflows, Pods, and Data Storage).

Pay as You Go

Access a complete biocomputing platform with simple, pay-as-you-go pricing.

1 credit = $1 — buy as little or as much as your analysis needs, credits never expire

Complete platform access: LatchSDK, Workflows, Pods, and more

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Enterprise

For biotech teams who want hands-on support to set up their cloud bioinformatics.

Volume discounts

24/7 priority support via Slack

Hands-on engineering assistance uploading workflows and data

Free 7-day pilots, a low-risk way to evaluate the platform before purchasing credits

Bioinformatics Contracting

Academics

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