amass

About amass

nnamass offers a scientific intelligence platform that integrates internal and external data sources, enabling researchers to automate literature searches and synthesize information from millions of scientific data points. This solution significantly reduces the time spent on research and administrative tasks, enhancing productivity for life science organizations.

```xml <problem> Life science researchers spend excessive time on manual literature reviews, data extraction, and information synthesis across disparate internal and external sources. This slows down research and development, limits the scope of analysis, and hinders productivity. </problem> <solution> Amass provides a scientific intelligence platform that automates literature searches and streamlines data integration for life science organizations. The platform connects internal data sources, such as electronic lab notebooks and file shares, with external databases, research papers, and patents. Using AI, the platform enables researchers to explore, interact with, and synthesize information from millions of scientific data points in seconds, significantly reducing the time spent on research and administrative tasks. </solution> <features> - Integrates internal data sources like Zotero, articles, presentations, contracts, Excel, and Sharepoint - Connects to external open data sources, research papers, patents, and databases - AI-powered search and synthesis across integrated data sources - Customizable AI research tools </features> <target_audience> The primary target audience includes life science researchers and research and development organizations seeking to improve productivity and accelerate scientific discovery. </target_audience> ```

What does amass do?

nnamass offers a scientific intelligence platform that integrates internal and external data sources, enabling researchers to automate literature searches and synthesize information from millions of scientific data points. This solution significantly reduces the time spent on research and administrative tasks, enhancing productivity for life science organizations.

Where is amass located?

amass is based in Copenhagen, Denmark.

When was amass founded?

amass was founded in 2023.

Location
Copenhagen, Denmark
Founded
2023
Employees
5 employees

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Executive Summary

nnamass offers a scientific intelligence platform that integrates internal and external data sources, enabling researchers to automate literature searches and synthesize information from millions of scientific data points. This solution significantly reduces the time spent on research and administrative tasks, enhancing productivity for life science organizations.

amass.tech300+
Founded 2023Copenhagen, Denmark

Funding

No funding information available.

Team (5+)

No team information available.

Company Description

Problem

Life science researchers spend excessive time on manual literature reviews, data extraction, and information synthesis across disparate internal and external sources. This slows down research and development, limits the scope of analysis, and hinders productivity.

Solution

Amass provides a scientific intelligence platform that automates literature searches and streamlines data integration for life science organizations. The platform connects internal data sources, such as electronic lab notebooks and file shares, with external databases, research papers, and patents. Using AI, the platform enables researchers to explore, interact with, and synthesize information from millions of scientific data points in seconds, significantly reducing the time spent on research and administrative tasks.

Features

Integrates internal data sources like Zotero, articles, presentations, contracts, Excel, and Sharepoint

Connects to external open data sources, research papers, patents, and databases

AI-powered search and synthesis across integrated data sources

Customizable AI research tools

Target Audience

The primary target audience includes life science researchers and research and development organizations seeking to improve productivity and accelerate scientific discovery.

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