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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The AI workplace management platform
Plan smart spaces, connect teams, manage assets, and get insights with the leading AI-powered operating system for the built world.
By combining AI workflows, predictive intelligence, and automated insights, OfficeSpace gives leaders a complete view of how their spaces are used and how people work. Facilities, IT, HR, and Real Estate teams use OfficeSpace to optimize space utilization, enhance employee experience, and reduce portfolio costs with precision.
A Logo interpreter and programming environment specialized for schools
A Logo interpreter and programming environment specialized for schools.
It is a revised version of XLogo, published on http://xlogo.tuxfamily.org/.
The Logo dialect is almost the same as Xlogo's, but some Logo commands were reimplemented to fit with the new programming environment and workspace. Some commands which were buggy in the original XLogo have been fixed. The interpreter works now more efficient due to the usage of more suitable data structures. The output of turtle graphics...
This project presents a new version of LOGO programming language developed at MIT by Seymour Papert. This software was developed using Java and Java 3D.
Simple Logo is a small and very basic Logo interpreter intended to be used as an educational tool, to allow children to learn a simple programming language.
SoftCo: Enterprise Invoice and P2P Automation Software
For companies that process over 20,000 invoices per year
SoftCo Accounts Payable Automation processes all PO and non-PO supplier invoices electronically from capture and matching through to invoice approval and query management. SoftCoAP delivers unparalleled touchless automation by embedding AI across matching, coding, routing, and exception handling to minimize the number of supplier invoices requiring manual intervention. The result is 89% processing savings, supported by a context-aware AI Assistant that helps users understand exceptions, answer questions, and take the right action faster.
It is the primary goal of this project to develop an online LOGO utility using the standard JAVA AWT and Swing capabilities. The general implementation will be based on the UCBerkeley LOGO (UCBLOGO) which includes the graphical displays and LOGO intepre
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