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ease
features
design
support

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Write a Review

Description

The Model Hardware Standard (MHS) serves as a universal specification facilitating the safe operation of AI agents with physical tools utilized in scientific exploration and high-tech manufacturing. By establishing a common framework, it allows these agents to identify, comprehend, and command programmable devices such as microscopes, liquid handlers, robotic arms, and other instruments found in labs or factories, eliminating the need for customized integrations for each piece of equipment. MHS incorporates standardized drivers that revolve around straightforward commands like reading and writing, which allows for the capabilities of devices to be easily identified within a unified format across various networks. Additionally, these drivers can encompass natural-language metadata detailing machine specifications, adjustable settings, measurements, and mandatory safety restrictions, equipping agents with essential context to handle unfamiliar machinery effectively. Once the connection is made, agents have the ability to manage devices through MCP, command-line interfaces, or APIs, coordinate actions across several instruments, track outcomes, and fine-tune parameters to optimize performance. This comprehensive approach not only enhances efficiency but also fosters safer interactions between AI systems and complex equipment.

Description

Scilligence's Scientific Data Management System (SDMS) offers a unified data storage platform that can connect with numerous instruments and devices, enabling researchers to quickly and securely access essential information. The automation features of SDMS facilitate the collection of data from scientific tools, equipment, or devices, and the subsequent extraction of metadata into a relational database, which enhances data management efficiency and promotes cost reduction. Our system ensures rigorous version control, comprehensive audit trails, and a detailed history of document changes that comply with prevalent regulatory standards. Furthermore, SDMS not only integrates effortlessly with Scilligence applications but also works harmoniously with laboratory instruments and devices for automated data collection. Additionally, it supports the integration of various other database systems and storage options. To safeguard your intellectual property, we provide robust access management at the site, account, and project levels, ensuring that sensitive information remains protected while facilitating collaborative research efforts. This comprehensive approach to data management ultimately empowers scientists to focus on their research while relying on a secure and efficient data infrastructure.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Anthropic Yes 

Integrations

Anthropic No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Model Hardware Standard (MHS)

Country

United States

Website

www.modelhardwarestandard.com

Vendor Details

Company Name

Scilligence

Founded

2010

Country

United States

Website

scilligence.com/scilligence-sdms/

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

Product Features

Scientific Data Management System (SDMS)

Analytics No 
Artificial Intelligence (AI) No 
Audit No 
Centralized Data Repository No 
Collaboration No 
Compliance No 
Data Security No 
ELN Integration No 
LIMS Integration No 
Workflows No 

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