Based on 4 reviews
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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.
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.
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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.