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Go beyond a virtual data room with Datasite Diligence
Datasite Diligence, helps dealmakers in more than 170 countries close more deals, faster.
The data room with a view. Evolved for next-generation M&A. Built on decades of deal experience. Packed with expert tools, yet intuitive for novices. A fully mobile platform with frictionless processes. Smart AI tools that let you close more deals, faster, plus end-to-end support at all times. Do due diligence with intelligence.
A set of powerful tools to perform TDD on MAS based on JADE
The TDD MAS Toolkit provides a set of tools to perform Test Driven Development of MAS based on Jade. The toolkit allows developers to set up simulation based and test case scenario based testing, providing powerful insights of the MAS under construction and assuring that the interation protocols and agent interaction in general are been enacted as expected.
Siafu simulates individual agents and their context, from home to city-wide scenarios. As a developer, you use the API to write your simulation for the purposes of data-set generation, test or visualization, optionally hooking it to your own application.
The aim of the project is to provide a testing tool that would reduce the cost associated with the regression testing process. The tool provides test case subset selection so that the user need not run the redundant test cases.
Tremendous is the global payouts platform for businesses sending gift cards and money at scale.
Getting started is simple: add a funding method and place your first order in minutes.
Trusted by 20,000+ leading organizations, Tremendous has delivered billions of rewards and enables businesses to reach recipients across 230+ countries and regions. Recipients have 2,500+ payout options to choose from, including gift cards, prepaid cards, cash transfers, and charitable donations.
D-Cog (Declarative-Cognition) is a Java based framework for training software components (reusable, object-oriented, interface-driven components). Instead of programmed, software components are trained by example to get the expected results.