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What is Charlie?

Charlie serves as a committed AI scientific assistant, tailored for researchers and laboratories with an emphasis on biomedical research, aimed at accelerating scientific progress by delivering precise and well-sourced information. It supports users in conducting literature reviews, analyzing scientific documents, organizing research data, and optimizing R&D workflows while prioritizing traceability in every response provided. Researchers can ask questions in plain language and obtain information drawn directly from scientific literature, complete with precise citations that validate each source. Charlie can efficiently search through numerous PDFs at once, synthesizing information, comparing various studies, understanding scientific contexts, and allowing users to focus more on breakthroughs instead of laborious document examinations. Additionally, its research workspace includes libraries, project management features, note-taking tools, shared collections, PDF reading functionalities, highlighting options, annotation capabilities, and tools for team collaboration, ensuring that critical quotes, references, and insights are meticulously organized across various devices. This all-encompassing strategy not only increases research productivity but also creates a supportive atmosphere for collaborative scientific exploration, ultimately empowering researchers to achieve their goals more effectively. By streamlining the administrative aspects of research, Charlie enables scientists to devote more time to innovative thinking and experimentation.

What is BenchSci?

Optimize the entire selection process for reagents and model systems to eliminate inefficiencies and reduce errors that can result in costly experimental setbacks. By condensing the decision-making timeframe from the usual 12 weeks to a mere 30 seconds, project timelines can be significantly shortened. This strategy not only minimizes direct expenses associated with consumables but also has the capacity to generate substantial annual savings. In addition, it supports the organizational mission by allowing scientists to reclaim precious research time. Experience concrete business benefits from AI through a solution that is both proven and ready for implementation. Over 41,200 scientists, representing 15 of the top 20 pharmaceutical companies and more than 4,450 academic institutions, rely on BenchSci’s AI-Assisted Antibody Selection to design more effective experiments while achieving significant reductions in hard costs. It’s crucial to recognize that antibodies account for only 40-50% of the reagent-related failures. Gain access to a wealth of experimental evidence, an extensive catalog of reagents and model systems, and independent validations, all within a single intuitive interface. Leverage real-world experimental data sourced from 11.2 million scientific publications, including those often not publicly available, for a comprehensive approach to research. This cutting-edge methodology equips researchers with the tools necessary to make swift and informed decisions, ultimately transforming the landscape of scientific experimentation. By streamlining processes and enhancing data accessibility, the opportunity for breakthroughs in research becomes significantly more attainable.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Pricing Information

€12 per month
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Emerit Science

Company Location

France

Company Website

emeritscience.com

Company Facts

Organization Name

BenchSci

Date Founded

2015

Company Location

Canada

Company Website

www.benchsci.com

Categories and Features

AI Science

Not specified

Categories and Features

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