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What is Microsoft Discovery?

Microsoft Discovery is a groundbreaking platform designed to transform the research and development process by embedding AI at every stage of the scientific method. By collaborating with specialized AI agents and leveraging a powerful graph-based knowledge engine, researchers can conduct experiments, generate hypotheses, and synthesize results more efficiently than ever before. The platform’s ability to reason over nuanced scientific data and provide transparent, context-rich insights fosters an environment where innovation can flourish. Designed for flexibility, Microsoft Discovery allows researchers to integrate their own models, tools, and datasets with Microsoft’s latest innovations, ensuring the platform can adapt to any research need. Built on the trusted Azure infrastructure, Discovery ensures full compliance, governance, and security, making it ideal for enterprise use. Early successes, such as the rapid discovery of a non-PFAS coolant prototype, showcase the platform’s ability to dramatically accelerate scientific research, delivering groundbreaking results that would have taken years to achieve using traditional methods. With a growing ecosystem of customers and partners across industries like pharma, energy, and materials science, Microsoft Discovery is poised to become a key tool for driving innovation across various scientific domains.

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

Azure HPC
Microsoft Copilot
Microsoft Foundry

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided

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

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com

Company Facts

Organization Name

BenchSci

Date Founded

2015

Company Location

Canada

Company Website

www.benchsci.com

Categories and Features

Agentic AI

Not specified

AI Agents

Not specified

AI Science

Not specified

Materials Science

Not specified

Categories and Features

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