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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Inventory and Order Management Software for Multichannel Sellers
Avoid stockouts, overselling, and losing control as your business grows.
We are the most powerful inventory and order management platform for Amazon, Walmart, and multichannel product sellers. Centralize orders, product information, and fulfillment operations to run more efficiently, sell more products, and stay compliant with marketplace requirements so you can grow profitably.
OmniSharp server (HTTP, STDIO) based on Roslyn workspaces
OmniSharp is a .NET development platform based on Roslyn workspaces. It provides project dependencies and C# language services to various IDEs and plugins. OmniSharp is built with the .NET Core SDK on Windows and Mono on OSX/Linux. It targets the net472 target framework. For platforms other than Windows, OmniSharp ships with an embedded Mono which is based on version 6.12.0, includes MSBuild 16.8.0 and is provisioned during the build script. If Mono is globally installed on the system,...
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.