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What is ProteinOS?

The Protein Platform comprises a blend of desktop applications, web-based solutions, hardware, and services from third parties, alongside a robust cloud infrastructure. A key feature for Wild Game Processors is the self-updating, distributed Windows desktop application known as ProteinOS, which streamlines the management of customer orders. Our kiosks utilize MiniPCs and POS Receipt Printers, as well as Thermal Label Printers and RFID technology. Additionally, mobile PC carts equipped with an onboard UPS enable operation without direct access to a power outlet. Each order is tagged with an RFID, allowing for easy data retrieval at each station upon scanning. Customers benefit from automated and customizable invoices and notifications via SMS, voice calls, or email, enhancing their experience. Furthermore, business operators can efficiently monitor current demand, freezer capacity, and outstanding orders, ensuring smooth operations at all times. This integrated approach helps businesses respond swiftly to changing needs and improve overall service delivery.

What is ESMC?

ESMC marks the latest innovation in the ESM series of protein language models, advancing the understanding of representation learning in protein biology. By training on an enormous dataset of billions of evolutionary sequences, it effectively captures representations that provide insights into the mechanistic aspects of protein structure and function. Utilizing a transformer architecture, the model prioritizes sequences as its main input and is trained on a dataset that includes up to 6 billion proteins. ESMC is designed for a range of applications within protein science, including structure prediction, functional annotation, protein design, and the investigation of evolutionary relationships among proteins. Furthermore, it has the ability to generate new proteins from partial sequences, structures, or specific functional requirements, which allows researchers to explore novel possibilities in protein design and biological research. The model is readily accessible through the Biohub Platform, enabling users to interact with it via an API and the ESM Python package, which offers quickstart resources for installation, API key generation, and connection to the platform, thus ensuring a user-friendly experience. This ease of access not only promotes wider participation in protein research but also fosters collaborative efforts across the scientific community, ultimately driving further advancements in the field. With its capabilities, ESMC opens new doors for innovation and discovery in protein science.

Media

Media

Integrations Supported

Azure SQL Database
Azure Static Web Apps
SendGrid
Twilio Messaging

Integrations Supported

Biohub
Python

API Availability

API Availability

Has API

Pricing Information

$100/month
The $100 a month is the cost of one ProteinOS client license. The hardware all has it's own prices and it all depends on exactly what type of setup you have, the space you have, and how large your operation is. We can accommodate small operations that require only one client station to handle all of their business all the way up to gigantic operations that run multiple cutting lines simultaneously , a handful of check-in and check-out stations, and office admin client stations for reporting, invoicing and overall administration.

Pricing Information

Free
Free Version

Supported Platforms

SaaS
Windows

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Protein Platform

Date Founded

2023

Company Location

United States

Company Website

proteinplatform.com

Company Facts

Organization Name

Biohub

Date Founded

2016

Company Location

United States

Company Website

biohub.ai/models/esmc

Categories and Features

RFID

Not specified

Vertical Market

Not specified

Categories and Features

AI Models

Not specified

AI Science

Not specified

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