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.
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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.
The only Word Processor designed to create and modify .htaccess files
Full version available for Python. No updates needed for UTE-11 on Linux.
*** IMPORTANT... PLEASE READ - September 24, 2022***
UTE-11 on Windows patch will be released for October 20, 2022. A patch for the faulty ability to fail when opening program is being tested now. Sorry for the long wait on this patch. Took longer than expected to isolate the root of the problem.
Sorry for the inconvenience caused on our coding.
The Vampnerd Group.
If you are a developer like me, you may find this program useful in finding code. You can add,edit,delete,search, and browse source code you might get from a book or posted on the web.