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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Field Sales+ for MS Dynamics 365 and Salesforce
Maximize your sales performance on the go.
Bring Dynamics 365 and Salesforce wherever you go with Resco’s solution. With powerful offline features and reliable data syncing, your team can access CRM data on mobile devices anytime, anywhere. This saves time, cuts errors, and speeds up customer visits.
JUnit Generator can automatically generate junit test cases for a specific class or method of Java; Fully supports the characteristics of object-oriented like generic type, complex class type generation etc.
AllPairs is an open source test combinations generator written in Python. It allows one to create set of tests using 'pairwise combinations' method, reducing a number of combinations of variables into a lesser set that covers most situations.
Steel Rats is a gui wrapper for the command line source code auditing tool RATS. It examines C, Perl, php and pythoncode for keywords that could cause security holes and provides a report for you to further investigate the possible security holes.
The Most Powerful Software Platform for EHSQ and ESG Management
Addresses the needs of small businesses and large global organizations with thousands of users in multiple locations.
Choose from a complete set of software solutions across EHSQ that address all aspects of top performing Environmental, Health and Safety, and Quality management programs.
Generating JavaScript/WSH code to automate Internet Explorer. Generated code is pure JavaScript code, you can further customize code depends on your automation needs. See homepage http://wshgenerator4ie.sourceforge.net/
STDL (Structured test description language) is a domain-specific testing language that is used to auto-generate unit test code. It supports a myriad of output languages (incl. C#). The project's aim is that of reducing the resources required for testing
NHag - NHibernate Automated Generator - is an advanced Codegenerator. Based on the hbm.xmls it can produce class code (in VB.NET and C#), Cell- and MVP-based abstraction layers and test scenarios (Test-DB and Unit Tests) for the generated classes. It's
JsisPath is an automated test case generator. It is a white box java test tool that generates test cases out of your source code. JsisPath generates minmum test cases that ensures that every statement in your code is executed at least once.
Simloc is the tool intended for finding similar chunks (blocks) of code. It could be used in reverse software engineering. It is faster than SimScan, find better blocks than PMD/CPD (not just exact blocks also similar) and could be runed at GRID.
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Provides possibility to adapt the interface of tested class. Enables to set a state of the class while writing tests by accessing the members that are not usually accessible.
KodeFu is an N-tier entity codegenerator that copies object definitions from a .NET assembly and generates equivalent source code for the objects, translator classes, and a suite of unit tests for said translators.
IoC container for the configuration and design for experimental design
InPUT offers a descriptive and programming language independent format and IoC (Inversion of Control) container for the configuration and design of computer experiments.
Code and more info can be found on github:
http://github.com/feldob/InPUT