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ease
features
design
support

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Description

Edison Analysis serves as an advanced scientific data-analysis tool developed by Edison Scientific, functioning as the core analytical engine for their AI Scientist platform known as Kosmos. It is accessible through both Edison’s platform and an API, facilitating intricate scientific data analysis. By iteratively constructing and refining Jupyter notebooks within a specialized environment, this agent takes a dataset alongside a prompt to thoroughly explore, analyze, and interpret the information, ultimately delivering detailed insights, comprehensive reports, and visualizations akin to the work of a human scientist. It is capable of executing code in Python, R, and Bash, and incorporates a wide array of common scientific-analysis libraries within a Docker framework. As all operations occur within a notebook, the logic behind the analysis remains completely transparent and accountable; users have the ability to examine how data was processed, the parameters selected, and the reasoning that led to conclusions, while also being able to download the notebook and related assets whenever they wish. This innovative approach not only enhances the understanding of scientific data but also fosters greater collaboration among researchers by providing a clear record of the entire analytical process.

Description

The Suite is designed to be both secure and scalable, featuring a contemporary and user-friendly interface that empowers scientists to have full control over the configuration of workflows for various techniques, modalities, and data types. The latest iteration, Signals VitroVivo 3.0, formerly known as Signal’s Screening, effectively converts raw data into practical insights, while Signals Inventa 3.0, previously called Signals Lead Discovery, serves as advanced analytics software that allows researchers to publish results effortlessly from diverse data sources. Additionally, it facilitates the capture of experimental data, oversees materials management, and streamlines collaboration workflows within an easy-to-navigate cloud-based electronic notebook. With adaptable visualizations and the ability to automate instrument data processing, the Suite enhances data quality and ensures reproducibility in research. It also provides a unified data management system for scientific outcomes, enriched with dynamic, interactive analytics. Furthermore, its extensibility allows for seamless integration with internal systems and partner processes, making it an invaluable tool for scientific discovery and innovation.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Bash
Docker
Jupyter Notebook
Kosmos
Python
R
Signals Inventa
Signals Notebook
Signals Translational
Signals VitroVivo

Integrations

Bash
Docker
Jupyter Notebook
Kosmos
Python
R
Signals Inventa
Signals Notebook
Signals Translational
Signals VitroVivo

Pricing Details

$50 per month
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Edison Scientific

Country

United States

Website

edisonscientific.com/articles/introducing-edison-analysis

Vendor Details

Company Name

PerkinElmer Informatics

Founded

1937

Country

United States

Website

perkinelmerinformatics.com/products/research/signals-research-suite/

Product Features

Scientific Data Management System (SDMS)

Analytics
Artificial Intelligence (AI)
Audit
Centralized Data Repository
Collaboration
Compliance
Data Security
ELN Integration
LIMS Integration
Workflows

Alternatives

Alternatives

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