Our Research

Our Research

Our work has been recognized and published in the most influential scientific venues.

What if we could speak
the language of life?

What if we could speak the language of life?

Profluent was founded on the principle of AI as an interpreter to decode the language of life and transcend the limits of traditional protein engineering. Current approaches require inefficient searches within nature or brute-force mutagenesis, greatly hampering the resulting probability of success.

In contrast, Profluent’s AI has learned the underlying blueprint from nature and can rapidly access an immense combinatorial space to optimize across multiple functional attributes – enabling a paradigm shift from accidental discovery to intentional design. Profluent offers unprecedented precision and control to reimagine bespoke solutions for society’s most challenging problems.

The future of protein design.

The future of protein design.

At Profluent, our machine learning models excel at protein design and have been trained on billions of curated biological sequences. Our versatile technology is ready to operate on multiple distinct modalities across enzymes, antibodies, gene editors, and peptides. Partner with us if you seek to:

Optimize multiple properties

Our AI can effortlessly handle the difficult task of optimizing multiple attributes simultaneously— making it cheaper, easier, and feasible for partners to achieve commercial success.

Access greater diversity

We can extrapolate into new protein spaces that haven't been tapped into yet, offering unique possibilities beyond natural or patented proteins.

We can extrapolate into new protein spaces that haven't been tapped into yet, offering unique possibilities beyond natural or patented proteins.

Enable novel
functions

Enable novel functions

Reimagining the realm of possibility through AI-first protein design, we are able to create entirely novel functions. With de novo proteins, there's infinite potential to engineer never-before-seen functions.

AI x Gene Editing

AI x Gene Editing

We are initially targeting our platform towards CRISPR gene editing, focusing on the significant and persistent unmet needs in this complex field that AI is uniquely positioned to address. The transformation of natural enzymes like Cas9 into human therapeutics has revolutionized genetic medicine. However, current technologies still fall short in many key areas, constraining the full promise that gene editing has to drastically improve human health.

We are initially targeting our platform towards CRISPR gene editing, focusing on the significant and persistent unmet needs in this complex field that AI is uniquely positioned to address. The transformation of natural enzymes like Cas9 into human therapeutics has revolutionized genetic medicine. However, current technologies still fall short in many key areas, constraining the full promise that gene editing has to drastically improve human health.

Many genetic diseases can’t be fixed by wild-type enzymes lifted directly from nature. Furthermore, gene editing systems mixed and matched for new capabilities suffer from functional tradeoffs that significantly limit their reach. PAM relaxation expands edit flexibility at the expense of precision, while complex gene writing systems expand the scope of potential edits at the expense of efficiency, and large integration systems offer the promise of whole gene insertion but struggle with deliverability.

Our ability to read and write proteins from scratch offers an opportunity to reimagine gene editing systems from the ground up, breaking free of evolutionary constraints or labor-intensive, single-attribute protein engineering approaches. In stark contrast to current approaches, our AI platform enables us to start with final applications and work backward to custom-design solutions. These include the ability to precisely tune existing CRISPR scaffolds and create entirely novel editing systems de novo.

By harnessing AI to address major unmet needs in gene editing, we believe we can achieve our vision of crafting precisely the right tool for each patient.

Many genetic diseases can’t be fixed by wild-type enzymes lifted directly from nature. Furthermore, gene editing systems mixed and matched for new capabilities suffer from functional tradeoffs that significantly limit their reach. PAM relaxation expands edit flexibility at the expense of precision, while complex gene writing systems expand the scope of potential edits at the expense of efficiency, and large integration systems offer the promise of whole gene insertion but struggle with deliverability.

Our ability to read and write proteins from scratch offers an opportunity to reimagine gene editing systems from the ground up, breaking free of evolutionary constraints or labor-intensive, single-attribute protein engineering approaches. In stark contrast to current approaches, our AI platform enables us to start with final applications and work backward to custom-design solutions. These include the ability to precisely tune existing CRISPR scaffolds and create entirely novel editing systems de novo.

By harnessing AI to address major unmet needs in gene editing, we believe we can achieve our vision of crafting precisely the right tool for each patient.

The future of
protein design.

At Profluent, our machine learning models excel at protein design and have been trained on billions of curated biological sequences. Our versatile technology is ready to operate on multiple distinct modalities across enzymes, antibodies, gene editors, and peptides. Partner with us if you seek to:

Optimize multiple properties

Our AI can effortlessly handle the difficult task of optimizing multiple attributes simultaneously— making it cheaper, easier, and feasible for partners to achieve commercial success.

Access greater diversity

We can extrapolate into new protein spaces that haven't been tapped into yet, offering unique possibilities beyond natural or patented proteins.

Enable novel functions

Reimagining the realm of possibility through AI-first protein design, we are able to create entirely novel functions. With de novo proteins, there's infinite potential to engineer never-before-seen functions!

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