Evo 2Arc Institute
|
||||||
Related Products
|
||||||
About
Evo 2 is a genomic foundation model capable of generalist prediction and design tasks across DNA, RNA, and proteins. It utilizes a frontier deep learning architecture to model biological sequences at single-nucleotide resolution, achieving near-linear scaling of compute and memory relative to context length. Trained with 40 billion parameters and a 1 megabase context length, Evo 2 processes over 9 trillion nucleotides from diverse eukaryotic and prokaryotic genomes. This extensive training enables Evo 2 to perform zero-shot function prediction across multiple biological modalities, including DNA, RNA, and proteins, and to generate novel sequences with plausible genomic architecture. The model's capabilities have been demonstrated in tasks such as designing functional CRISPR systems and predicting disease-causing mutations in human genes. Evo 2 is publicly accessible via Arc's GitHub repository and is integrated into the NVIDIA BioNeMo framework.
|
About
Momo is an AI-augmented workplace memory platform that automatically builds a centralized, searchable company memory by connecting to a team’s existing productivity and communication apps such as Gmail, GitHub, Notion, and Linear, capturing work context, decisions, ownership, and ongoing work without manual note taking or daily status updates. It continually listens to activity and events across integrated apps to extract structured context and relationships between projects, customers, tasks, and decisions, keeping this live memory up to date so teams can search and visualize progress, dependencies, and historical context in one place. By eliminating the need to repeatedly ask what teammates did or to hunt through threads for decisions buried in conversations, Momo helps remote teams, cross-department collaborators, and distributed workforces reduce friction, accelerate onboarding, and maintain coherent context across workstreams.
|
|||||
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
|||||
Audience
Computational biologists and genetic engineers in need of a tool to model and design biological sequences across multiple modalities, enhancing research in genomics and synthetic biology
|
Audience
Teams and organizations that need an automated, centralized company memory to capture, search, and retrieve decisions and work context from everyday apps
|
|||||
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
|||||
API
Offers API
|
API
Offers API
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
No information available.
Free Version
Free Trial
|
Pricing
No information available.
Free Version
Free Trial
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
|||||
Company InformationArc Institute
United States
arcinstitute.org/tools/evo
|
Company InformationMomo
United States
www.usemomo.com
|
|||||
Alternatives |
Alternatives |
|||||
|
|
||||||
|
|
||||||
|
|
||||||
Categories |
Categories |
|||||
Integrations
GitHub
Claude
Evo Designer
Gmail
Hugging Face
Linear
NVIDIA BioNeMo
Notion
|
Integrations
GitHub
Claude
Evo Designer
Gmail
Hugging Face
Linear
NVIDIA BioNeMo
Notion
|
|||||
|
|
|