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What is Recursion?

Recursion is a pioneering TechBio company reimagining drug discovery through the integration of biology, artificial intelligence, and large-scale data. Founded more than ten years ago, Recursion introduced a novel approach that uses cellular imaging to train AI models to understand disease mechanisms. The company’s mission is to reduce the high failure rate of traditional drug development by uncovering deeper biological insights. At the core of its work is the Recursion OS, a drug discovery and development platform that unifies data, machine learning, and automated experimentation. Recursion has built one of the world’s largest proprietary biological and chemical datasets, spanning phenomics, transcriptomics, proteomics, and patient data. Its automated wet labs generate millions of experiments weekly, creating a continuous feedback loop that improves model performance. This system enables rapid identification of new drug targets and optimized molecule design. Recursion’s pipeline includes multiple programs addressing aggressive cancers and rare diseases with significant unmet needs. The company partners with pharmaceutical leaders, computational technology providers, and data innovators to extend its impact. With BioHive-2, a powerful supercomputer built with NVIDIA, Recursion processes massive datasets at unprecedented speed. These capabilities allow the company to move candidates faster from discovery to clinical trials. Overall, Recursion is focused on delivering better medicines to patients through AI-driven precision and scale.

What is Evo 2?

Evo 2 is an advanced genomic foundation model that excels in predicting and creating tasks associated with DNA, RNA, and proteins. Utilizing a sophisticated deep learning architecture, it models biological sequences with precision down to single-nucleotide accuracy, demonstrating remarkable scalability in both computational and memory resources as context length expands. The model has been trained on an impressive 40 billion parameters and can handle a context length of 1 megabase, analyzing an immense dataset of over 9 trillion nucleotides derived from diverse eukaryotic and prokaryotic genomes. This extensive training enables Evo 2 to perform zero-shot function predictions across a range of biological types, including DNA, RNA, and proteins, while also generating novel sequences that adhere to plausible genomic frameworks. Its robust capabilities have been highlighted in applications such as the design of efficient CRISPR systems and the identification of potentially disease-causing mutations in human genes. Additionally, Evo 2 is accessible to the public via Arc's GitHub repository and is integrated into the NVIDIA BioNeMo framework, which significantly enhances its availability to researchers and developers. This integration not only broadens the model's reach but also represents a pivotal advancement in the fields of genomic modeling and analysis, paving the way for future innovations in biotechnology.

Media

Media

Integrations Supported

Evo Designer
GitHub
Hugging Face
NVIDIA BioNeMo

Integrations Supported

Evo Designer
GitHub
Hugging Face
NVIDIA BioNeMo

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Recursion

Company Location

United States

Company Website

www.recursion.com

Company Facts

Organization Name

Arc Institute

Company Location

United States

Company Website

arcinstitute.org/tools/evo

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