Softwr

AI · head to head

Banana vs LatchBio

Banana logo

Banana

AI

ML inference at scale

From
$1200/month
Rated
-
LatchBio logo

LatchBio

AI

AI agents that run bioinformatics analyses, from a company that pivoted from workflow hosting

From
On request
Rated
-

The short version

  • Each has a real cost: Banana banana shut down its serverless GPU infrastructure on 31 March 2024 at noon PST and told customers to migrate to another provider by that time; LatchBio the company has pivoted from hosted bioinformatics workflows to AI agents, so organisations that adopted the earlier SDK and workflow product are now on a line that is no longer the strategic focus.
  • They diverge on capability: Banana covers GPU inference, LatchBio covers Agent driven analysis.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Banana and LatchBio actually diverge.

Attributes where Banana and LatchBio differ
AttributeBananaLatchBio
Starting price$1200/monthOn request
Pricing modelsubscriptionquote
PlatformsCloud, ApiWeb
Founded2021Unknown

Identical on both: free tier (No), user rating (Not yet rated), category (AI).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Banana

  • GPU inference
  • Auto-scaling
  • Docker deployment
  • Low latency
  • REST API
  • Python SDK
  • Cloud support
  • Api support

Only in LatchBio

  • Agent driven analysis
  • Multi assay support
  • Published benchmarks
  • White labelled portals
  • Common file format handling
  • Managed compute

What people use each for

The jobs each tool is most often brought in to do.

Banana

  • Historically, serverless GPU inference for machine learning modelsnot LatchBio
  • Migration reference for teams that ran models on Banana before the 2024 shutdownnot LatchBio

LatchBio

  • A small biotech with sequencing data and no bioinformatician who needs a first pass differential expression or cell type annotation quicklynot Banana
  • An assay or kit vendor that wants to give customers an analysis portal under its own branding rather than shipping raw filesnot Banana
  • A wet lab scientist who wants to explore a dataset interactively before commissioning a formal analysis from a core facilitynot Banana
  • A research group benchmarking agent produced analyses against its own established pipeline to decide how much routine work can be delegatednot Banana

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Banana

  • Banana shut down its serverless GPU infrastructure on 31 March 2024 at noon PST and told customers to migrate to another provider by that time
  • The vendor's own sunset notice names limited runway, retention problems and GPU supply constraints as the reasons for closing
  • The banana.dev site still displays pricing tiers, but every tier links to the sunset notice rather than to a purchase

LatchBio

  • The company has pivoted from hosted bioinformatics workflows to AI agents, so organisations that adopted the earlier SDK and workflow product are now on a line that is no longer the strategic focus.
  • Agent generated analysis code has to be validated by someone who could have written it, which inverts the value proposition for the small labs that most need it and cannot check the output.
  • No pricing is published, so the cost of routine agent analysis at team scale cannot be estimated without contacting sales, and compute billed through the platform makes the bill usage dependent.
  • Regulated use is a poor fit: an agent that writes non deterministic analysis code is difficult to validate under GxP, so this is a research tool rather than something that will sit in a regulated diagnostic or submission workflow.
  • The vendor publishes its own benchmarks, which is more than most competitors do, but self reported benchmarks on selected datasets are not a substitute for testing the agent on your own data before committing.

Pricing, plan by plan

Banana

$1200/month
  • Team$1200/month
    • 10 team members
    • 5 projects
    • 50 max parallel GPUs
  • Enterprise$null/custom
    • Custom seat limit
    • Custom GPU configuration

LatchBio

On request
  • LatchBio Platform$undefined/year
    • Quoted through a sales process
    • Interactive sandbox available for trying the agent before contracting
    • Enterprise and white labelled portal deployments priced separately

Which should you pick?

Choose Banana if

  • You need gpu inference.
  • You work on Cloud, Api.
  • You also want auto-scaling.

Choose LatchBio if

  • You need agent driven analysis.
  • You also want multi assay support.

Questions people ask

Is Banana or LatchBio better?
Neither clearly leads. Banana starts at $1200/month and LatchBio at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Banana or LatchBio?
Banana starts at $1200/month and LatchBio at On request.
Does Banana or LatchBio run on more platforms?
Banana runs on Cloud, Api. LatchBio runs on Web.
What is Banana best used for?
Banana is most often used for historically, serverless gpu inference for machine learning models, migration reference for teams that ran models on banana before the 2024 shutdown. Of those, historically, serverless gpu inference for machine learning models and migration reference for teams that ran models on banana before the 2024 shutdown are not what LatchBio is typically brought in for.
What can Banana do that LatchBio cannot?
Banana covers GPU inference, Auto-scaling, Docker deployment, Low latency. LatchBio covers Agent driven analysis, Multi assay support, Published benchmarks, White labelled portals.

Answered from the vendors’ own pages

Banana: How much does Banana's Team plan cost?

The Team plan costs $1,200 per month plus the cost of compute resources at cost with zero markup applied.

Source
LatchBio: Is LatchBio still selling the original workflow platform?

The company is now led by agent.bio and its agent products. Buyers evaluating the older Python SDK workflow platform should confirm current support directly.

Banana: What is the maximum team size on Banana's Team plan?

The Team plan includes 10 team members and supports a maximum of 5 projects with up to 50 parallel GPUs.

Source
LatchBio: Can I try it before buying?

Yes. There is an interactive sandbox where you can upload data and run the agent before entering a sales conversation.

Banana: Does Banana offer an Enterprise plan with custom pricing?

Banana offers an Enterprise plan with custom pricing plus at-cost compute, including SAML SSO, automation API, and dedicated support.

Source
LatchBio: Is it suitable for regulated work?

Not really. Non deterministic agent generated code is hard to validate under GxP, so treat it as a research and exploration tool.

LatchBio: What data types does it handle?

Single cell RNA sequencing, spatial transcriptomics, epigenomics, proteomics and pharmacology data, ingesting FastQ, H5AD and spreadsheet formats.

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