ESMC

ESMC

Biohub
Zochi

Zochi

Intology
+
+

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About

ESMC is the latest in the ESM family of protein language models, establishing a new frontier in representation learning for protein biology. Trained on billions of evolutionary sequences, it learns representations that reflect a mechanistic reduction of protein structure and function. The model is built on a transformer architecture, supports sequences as its core modality, and is trained on up to 6 billion proteins. ESMC is designed for protein science research, including structure prediction, function annotation, protein design, and understanding evolutionary relationships between proteins. It can generate novel proteins from partial sequence, structure, or functional constraints, helping researchers explore new possibilities in protein design and biological discovery. The Biohub Platform provides access to ESMC through the API and the ESM Python package, with quickstart resources for installing the package, creating an API key, connecting to the platform.

About

Zochi is the first AI system capable of autonomously completing the entire scientific research process, from hypothesis generation to peer-reviewed publication, producing state-of-the-art results. Unlike prior systems limited to narrow, predefined tasks, Zochi excels in addressing research challenges at the forefront of artificial intelligence. Its effectiveness is validated by multiple peer-reviewed publications accepted at ICLR 2025 workshops, underscoring Zochi's ability to generate novel and academically rigorous contributions. Zochi identified a critical bottleneck in AI development: cross-skill interference in parameter-efficient fine-tuning. When adapting models to multiple tasks simultaneously, improvements in one skill often degrade others. To address this, Zochi developed CS-ReFT (Compositional Subspace Representation Fine-tuning), focusing on representation editing rather than weight modifications.

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

Protein science researchers who need transformer-based sequence representations for structure prediction, function annotation, mutation analysis, and protein design

Audience

AI research institutions wanting a solution to conduct scientific research, from hypothesis generation to peer-reviewed publication, across diverse domains

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

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Biohub
Founded: 2016
United States
biohub.ai/models/esmc

Company Information

Intology
Founded: 2025
United States
www.intology.ai/blog/zochi-tech-report

Alternatives

Alternatives

LeapSpace

LeapSpace

Elsevier
Evo 2

Evo 2

Arc Institute
Jenni

Jenni

Jenni AI
ESMFold2

ESMFold2

Biohub
HyperProtein

HyperProtein

Hypercube

Categories

Categories

Integrations

Biohub
Python

Integrations

Biohub
Python
Claim ESMC and update features and information
Claim ESMC and update features and information
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Claim Zochi and update features and information