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What is Mira?

Mira is a specialized online AI platform designed specifically for scientists engaged in research and development across scientific and materials disciplines. It assists researchers in the exploration of literature, organization of evidence, hypothesis generation, management of computational tasks, and summarization of results. The platform includes AI agents that are focused on tasks, seamlessly merging project-specific details with scientific tools and computational assets, thereby supporting the entire research process from the initial question formulation to the analysis and presentation of results. Its use extends across numerous fields, including chemistry, materials science, molecular design, protein workflows, and the replication of established techniques. By providing dedicated project workspaces, Mira maintains contextual continuity throughout various tasks, while its customizable workflow views and comprehensive reports allow users to systematically analyze and organize their findings. In addition, Mira is meticulously developed for scientists and research and development teams aiming to improve their literature-based investigations and computational analyses; crucially, the outputs produced by the platform are meant to enhance, rather than replace, the indispensable judgment and knowledge of experienced researchers. Ultimately, Mira serves to empower scientists to achieve greater efficiency and effectiveness in their scientific pursuits, fostering innovation and discovery. With its user-friendly interface and robust capabilities, it stands out as a vital resource for modern scientific inquiry.

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

ESMFold2

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Deep Principle

Date Founded

2024

Company Location

China

Company Website

agentmira.io

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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