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AI · head to head

LatchBio vs Ollama

LatchBio logo

LatchBio

AI

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

From
On request
Free plan
No
Full reviewWebsite
Ollama logo

Ollama

Machine Learning

Open-source tool for running LLMs locally on desktop and servers

From
Free
Free plan
Yes
Full reviewWebsite

The short version

  • Only Ollama has a free tier, so it costs nothing to try first.
  • Each has a real cost: 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.; Ollama requires user to provide computational hardware; no free cloud compute; models may not fit in available RAM on typical machines
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which LatchBio and Ollama actually diverge.

Attributes where LatchBio and Ollama differ
AttributeLatchBioOllama
Starting priceOn requestFree
Pricing modelquotefreemium
Free tierNoYes
PlatformsWebmacOS, Windows, Linux, Cloud (AWS, Google Cloud, Azure, self-hosted)
CategoryAIMachine Learning

Identical on both: user rating (Not yet rated).

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 LatchBio

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

Only in Ollama

Nothing recorded that LatchBio does not also cover.

What people use each for

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

LatchBio

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

Ollama

  • Local development and testing without API costs or rate limitsnot LatchBio
  • Privacy-sensitive applications requiring data to remain on-devicenot LatchBio
  • Cost-sensitive deployments where computational resources are already availablenot LatchBio
  • Fully offline environments or air-gapped networksnot LatchBio

Where each one falls short

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

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.

Ollama

  • Requires user to provide computational hardware; no free cloud compute; models may not fit in available RAM on typical machines
  • No hosted service option for inference; all computational burden falls to user
  • Limited to open-weight models; cannot run proprietary models like GPT-4 or Claude locally
  • Performance depends entirely on user's hardware; no SLAs or guarantees on speed

Pricing, plan by plan

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

Ollama

Free
  • FreeFree
    • CLI, API, desktop apps
    • Unlimited public models
    • 40,000+ community integrations
  • Pro$20/month
    • Access to larger, more powerful cloud models
    • Run 3 concurrent cloud models
    • 50x more usage than Free
  • Max$100/month
    • Run 10 concurrent cloud models
    • 5x more usage than Pro
  • Team$25/month
    • Per seat pricing (5-seat minimum = $125/month)
    • Shared billing
    • Zero data retention

Which should you pick?

Choose LatchBio if

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

Choose Ollama if

  • You want to start without paying.
  • You work on macOS, Windows, Linux, Cloud (AWS, Google Cloud, Azure, self-hosted).
Ollama review

Questions people ask

Is LatchBio or Ollama better?
Neither clearly leads. LatchBio starts at On request and Ollama at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, LatchBio or Ollama?
Ollama has a free tier; the other does not. Paid plans start at On request for LatchBio and Free for Ollama.
Does LatchBio or Ollama run on more platforms?
LatchBio runs on Web. Ollama runs on macOS, Windows, Linux, Cloud (AWS, Google Cloud, Azure, self-hosted).
Can I use Ollama for free?
Yes. Ollama has a free tier, so you can try it without paying. LatchBio starts at On request.
What is LatchBio best used for?
LatchBio is most often used for a small biotech with sequencing data and no bioinformatician who needs a first pass differential expression or cell type annotation quickly, an assay or kit vendor that wants to give customers an analysis portal under its own branding rather than shipping raw files, a wet lab scientist who wants to explore a dataset interactively before commissioning a formal analysis from a core facility, a research group benchmarking agent produced analyses against its own established pipeline to decide how much routine work can be delegated. Of those, a small biotech with sequencing data and no bioinformatician who needs a first pass differential expression or cell type annotation quickly and an assay or kit vendor that wants to give customers an analysis portal under its own branding rather than shipping raw files are not what Ollama is typically brought in for.
What can LatchBio do that Ollama cannot?
LatchBio covers Agent driven analysis, Multi assay support, Published benchmarks, White labelled portals.

Answered from the vendors’ own pages

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.

Ollama: How much does Ollama cost?

Ollama is free to use with unlimited public models. Pro paid plans start at $20/month for 3 concurrent cloud models, or $100/month for Max with 10 concurrent models. Team plans cost $25/seat/month with a 5-seat minimum.

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.

Ollama: What does the Ollama free tier include?

The free tier includes CLI and API access, unlimited public models, 40,000+ community integrations, and private data retention, though limited to 1 concurrent cloud model.

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.

Ollama: How much usage is included with each Ollama plan?

Pro includes 50x more usage than Free, and Max includes 5x more usage than Pro. Session limits reset every 5 hours and weekly limits reset every 7 days across all tiers.

Source
LatchBio: What data types does it handle?

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

Ollama: Does Ollama log or train on user data?

No, Ollama explicitly states that prompt or response data is never logged or trained on, protecting user privacy across all plans.

Source
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