Collect! is a highly configurable debt collection software
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Turn traffic into pipeline and prospects into customers
For account executives and sales engineers looking for a solution to manage their insights and sales data
Docket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
This is software to create web dictionaries, esp. for Esperanto like Reta Vortaro (http://reta-vortaro.de). A dictionary is made from articles written in a special XML dialect by transformations using XSLT, ant and some Java code.
Representation of my philosophy (currently limited to philosophy of language) in the languages Prolog or Life. These languages must be acquired separately and Ruby is also needed. However the main purpose is to show how some philosophy problems can be solved. The sourcecode and output are sufficient for that.
JinnIde is a plugin that allows using Jinni Prolog, now also hosted here on this site (with open source license!), within the confines of an IDE integrated in JEdit.