The Most Powerful Software Platform for EHSQ and ESG Management
Addresses the needs of small businesses and large global organizations with thousands of users in multiple locations.
Choose from a complete set of software solutions across EHSQ that address all aspects of top performing Environmental, Health and Safety, and Quality management programs.
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Skillfully - The future of skills based hiring
Realistic Workplace Simulations that Show Applicant Skills in Action
Skillfully transforms hiring through AI-powered skill simulations that show you how candidates actually perform before you hire them. Our platform helps companies cut through AI-generated resumes and rehearsed interviews by validating real capabilities in action. Through dynamic job specific simulations and skill-based assessments, companies like Bloomberg and McKinsey have cut screening time by 50% while dramatically improving hire quality.
Water: a fast, secure, dynamic OO language and database. Water is an all-purpose language (and meta-language) that runs Web applications in the browser or server-side. Water is compatible with .NET, Java, and C on Windows, Linux and Mac OS X system.
In this project we aim to develop scheme libraries for developing
various web applications (especially servlets and xml-based web services). Our approach is to use jscheme (an open source implementation of scheme in Java) as the core language which allow
A language designed for server-side WWW-based applications,
particularly database applications. It is based on Scheme, which makes the syntax extremely simple yet powerful. This implementation is a Java Servlet using the Kawa Scheme compiler.
Statseeker is a powerful network performance monitoring solution for businesses
Using just a single server or virtual machine, Statseeker can be up and running within minutes, and discovering your entire network in less than an hour, without any significant effect on your bandwidth availability.
The Medlane project is an attempt to create a set of tools that will enable librarians to move from the standard MARC (MAchine Readable Cataloging) format to a new library/museum XML format. This move will ensure traditional library/museum data remains