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.
Learn More
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.
Cinnamon is an Enterprise CMS with all functions of a Component CMS, and is ideal for versioned management of assets of all types, like modular technical documentation (DITA and other standards), media assets, documents, contracts, software releases etc.
Cinnamon consists of the server, a desktop client and all libraries the desktop client is built on.
Cinnamon is an ideal platform for technical documentation systems, custom web or desktop applications in the fields of document...
A robust, reliable, user-friendly, and high-performance Graph Database
This is an academic project to build a graph database, supporting multiple users, with fully functioned data query, data manipulation and indexing mechanism. It is running in a distributed client-server mode. This project is assigned to final-year project from group IT121B, Bachelor of Computing, University of Wollongong.
This project is an customised, highly evolved open source L2J server emulation software. Main source bases mostly on L2JOfficial project files. Project is written in Java, Python, XML, HTML, SQL and so on. //// and is not available to all anymore. ho
Award-Winning Medical Office Software Designed for Your Specialty
Succeed and scale your practice with cloud-based, data-backed, AI-powered healthcare software.
RXNT is an ambulatory healthcare technology pioneer that empowers medical practices and healthcare organizations to succeed and scale through innovative, data-backed, AI-powered software.
db4o is the world's leading open source object database for Java and .NET. Leverage fast native object persistence, ACID transactions, query-by-example, S.O.D.A object query API, automatic class schema evolution, small size (http://developer.db4o.com)
MySXP Client: Is an ActiveX COM Microsoft Windows platform; The objective of this Component is to create a terminal service for a wide open server services as, IM, RPC for client app., RPC, DB terminal, Multiplayer Game client, WebCam, voIP Client.
A common problem with testing tools such as NUnit and JUnit is the need to have reliable, consistent data to test against. This tool provides a way to load and unload test data into a database for unit test purposes (as well as any other data loading nee