FoundFold presents itself as an independent research lab building generative and predictive models. The website details their recent work on aptamer design and genomic data. However, the information is strictly academic. There is no mention of pricing, service tiers, or commercial products. It is unclear if a non-research entity can engage their services or what the cost structure would be for accessing their foundation models.
Haven't used FoundFold yet?
Ask AI
Ask AI about FoundFold
Post your question publicly — other visitors, and whoever manages this page, can answer. It will be visible on this page.
Want to hear about this company again? Follow it and we’ll email you when a new review appears.
AI-generated from reviews on this page. Verify anything important with the company directly.
4 Reviews
It is quite convenient to email Marko directly for partnership inquiries, though the GitHub link is also handy.
Love the direction they are going with reading hard genomic data and structure-aware methods. It seems like a solid approach. Does FoundFold offer any public datasets alongside these foundation models, or is access strictly limited to research collaborators and partners?
FoundFold is an independent research lab that does exactly what it promises. They build generative and predictive models to find hidden patterns in biology. Their recent Tumbleweed model for aptamer design shows real chemical awareness. It is exciting to see them working on therapeutic nucleic acids and decoding bioacoustics simultaneously.
Questions & Answers
No questions yet — be the first to ask.
Sign in to post
Your text is saved — you'll come right back to post.
or with email
Don't have an account? Create one
News & Press
No news yet. This is where the business shares its own updates and press.
Photos
No photos yet. Photos shared by reviewers will show up here.
About FoundFold
FoundFold is an independent research lab that develops foundation models aimed at discovering hidden patterns in biology. Its work includes building generative and predictive models for designing therapeutic nucleic acids, such as aptamers and RNA, using models trained on selection data to design binders and rank affinity. The lab also works on long-context sequence models and structure-aware methods for analyzing noisy, repetitive genomic data, and applies representation learning to animal vocalizations in bioacoustics. A recent published project from the lab is Tumbleweed, a chemistry-aware, target-conditional diffusion model for aptamer design.
- Website
- foundfold.com
- [email protected]
- Categories
- Information technology and services, Research, Biotechnology
People also looked at
Digital Marketing Agency for Service Businesses4 Reviews
CoFounder Jr, Founders Weekend5 Reviews
Founders Walk4 Reviews