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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Next-Gen Encryption for Post-Quantum Security | CLEAR by Quantum Knight
Lock Down Any Resource, Anywhere, Anytime
CLEAR by Quantum Knight is a FIPS-140-3 validated encryption SDK engineered for enterprises requiring top-tier security. Offering robust post-quantum cryptography, CLEAR secures files, streaming media, databases, and networks with ease across over 30 modern platforms. Its compact design, smaller than a single smartphone image, ensures maximum efficiency and low energy consumption.
Support for manual parallelization of sequential C programs.
ParTools allows the interactive analysis of a C program execution profile and data dependencies to facilitate the discovery and selection of suitable parallelization candidates in a manual parallelization process. The flow does not assume any specific parallelization technique, thus it can be broadly applied.
The original (serial) C source is automatically annotated to trace the execution profile and data dependencies at run-time. The annotated program is then executed using a...
A collection of performance analysis software that can assist with a variety of techniques useful for application software optimization and benchmarking. The current release provides support for analysis with hardware performance counters on Linux.
(Diver is in the process of being moved to GitHub. Please find us at https://github.com/thechiselgroup/Diver. Support requests & messages sent here may never be seen.)
Dynamic Interactive Views For Reverse Engineering. Div/er is a set of Eclipse Plugins that aid developers in understanding software. It uses dynamic analysis and reverse engineering to offer views and filters that aid comprehension and discovery.
Manage what you buy and how you buy it with Order.co, so you have control over your time and money spent.
Simplify every aspect of buying for your business in Order.co. From sourcing products to scaling purchasing across locations to automating your AP and approvals workstreams, Order.co is the platform of choice for growing businesses.
Framework for profiling & early performance testing of J2SE, thread based applications. Integrates into the Maven build-cycle. Closely integrates with YourKit profiler to produce automatic CPU profiling of you application.
Beet adds user behavior and performance tracking to a Spring-based Java app. HTTP requests, method calls, and SQL statements are tracked and associated to user and session. includes XML, binary XML, and JDBC loggers. See http://beet.sourceforge.net.
A pretty primitive portable profiler for Java 5.0. It only produces "flat" profiles, has only experimental support for multithreaded code, and aims at minimal overhead.
This project provides runtime performance monitoring and reporting for Java applications. It includes a simple API with timers and counters, data persistence, support classes and aspects (AspectJ & Spring AOP), and a reporting web application.