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What is Sciscoper?

Sciscoper is an innovative AI-powered research assistant crafted to streamline and accelerate the literature review process for professionals in STEM disciplines, such as researchers, academics, and R&D teams. Researchers often grapple with the overwhelming task of managing vast arrays of scientific papers from diverse sources, making it challenging to extract meaningful insights efficiently. To tackle this problem, Sciscoper employs advanced AI and natural language processing technologies to automatically: - Provide concise summaries of scientific articles and research findings. - Uncover essential insights, concepts, and connections within various documents. - Generate comprehensive literature reviews complete with citations formatted in multiple styles. - Arrange and classify papers into a structured, searchable knowledge repository for easy access. As a result, users can significantly reduce the amount of time dedicated to monotonous reading and note-taking, allowing them to focus more on analyzing results, identifying gaps for future research, and enhancing the body of scientific knowledge. With its ability to redefine the literature review experience, Sciscoper ultimately fosters more productive research endeavors and drives innovation in the scientific community.

What is Galactica?

The vast quantity of information present today creates a considerable hurdle for scientific progress. As the volume of scientific literature and data grows exponentially, discovering valuable insights within this enormous expanse of information has become a daunting task. In the present day, individuals are increasingly dependent on search engines to retrieve scientific knowledge; however, these tools often fall short in effectively organizing and categorizing such intricate data. Galactica emerges as a cutting-edge language model specifically engineered to capture, synthesize, and analyze scientific knowledge. Its training encompasses a wide range of scientific resources, including research papers, reference texts, and knowledge databases. In a variety of scientific assessments, Galactica consistently outperforms existing models, showcasing its exceptional capabilities. For example, when evaluated on technical knowledge tests that involve LaTeX equations, Galactica scores 68.2%, which is significantly above the 49.0% achieved by the latest GPT-3 model. Additionally, Galactica demonstrates superior reasoning abilities, outdoing Chinchilla in mathematical MMLU with scores of 41.3% compared to 35.7%, and surpassing PaLM 540B in MATH with an impressive 20.4% in contrast to 8.8%. These results not only highlight Galactica's role in enhancing access to scientific information but also underscore its potential to improve our capacity for reasoning through intricate scientific problems. Ultimately, as the landscape of scientific inquiry continues to evolve, tools like Galactica may prove crucial in navigating the complexities of modern science.

Media

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Media

No images available

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

$20/user/month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Sciscoper

Date Founded

2025

Company Location

Mauritius

Company Website

sciscoper.com

Company Facts

Organization Name

Meta

Date Founded

2004

Company Location

United States

Company Website

meta.com

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