

Reaxys is a chemistry database developed by Elsevier. It serves as a source of chemical information for research-driven organizations and academic institutions.
The tool is designed for professionals in pharmaceutical and chemical companies, as well as researchers in universities and laboratories. It supports the retrieval of chemical data and includes provisions for text and data mining activities.
Users can access the platform via institutional logins or individual account credentials, and the system supports remote access. Buyers should confirm pricing and procurement by contacting the sales team.
Provides a searchable repository of chemical information for research purposes.
Supports access to database information from off-site locations.
Supports authentication through organizational or university credentials.
Supports the use of tools to analyze and extract information from the database.
Includes tools for users to recover passwords and regain account access.
Searching the database to find specific chemical data for research and development.
Providing a login method for university students and laboratory staff to access chemical records.
Using text and data mining to identify patterns or extract data points from chemical literature.
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
Reaxys is designed for pharmaceutical companies, chemical companies, research institutions, universities, and laboratories.
Users can sign in using a Reaxys account username and password or through their institutional login.
Yes, the platform is designed to support remote access.
Pricing is not listed publicly; buyers should contact the Elsevier sales team for pricing details.
Source category: Data & Analytics
Source subcategory: Database
Reaxys is a chemistry database by Elsevier designed for pharmaceutical companies and research institutions. It supports chemical data retrieval, remote access, and text and data mining. Prospective buyers should contact sales for access details and note restrictions regarding AI training usage.