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.
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Data management solutions for confident marketing
For companies wanting a complete Data Management solution that is native to Salesforce
Verify, deduplicate, manipulate, and assign records automatically to keep your CRM data accurate, complete, and ready for business.
The Repast Suite is a family of free agent-based modeling libraries.
The Repast Suite is a family of advanced, free, and open source agent-based modeling and simulation platforms that have been under continuous development for over 20 years. Current source code and releases are hosted on Github https://repast.github.io/
QueLang is a designing tool to use for Questionnaire Design.
This is the first implementation of QueLang. QueLang is a language I designed for Questionnaire Design and Implementation.
This software can compile your code (written in .ql text files) into a special .qlc format (a kind of database). Then it can read those .qlc files to open them in viewer and export them to PDF format.
It can be also used for exam and test designing!
Tested on:
-Linux Ubuntu 12.04
-Windows 7 64-bit
QueLang can run by double clicking the .jar (or .exe) file. ...
Now part of Apache's Mahout machine learning project at http://mahout.apache.org/-- please see there for latest info and code and releases and support!