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Showing 2 open source projects for "data"
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Turn traffic into pipeline and prospects into customersDocket 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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The Most Powerful Software Platform for EHSQ and ESG ManagementChoose 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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Carmine
Redis client and message queue for Clojure
...Simple, high-performance message queue (v2+, Redis 2.6+). Simple, high-performance distributed lock (v2+, Redis 2.6+). Pluggable compression and encryption support (v2+). Includes Tundra, an API for replicating data to an additional datastore (v2+, Redis 2.6+). You'll usually want to define a single connection pool, and one connection spec for each of your Redis servers. Note that executing multiple Redis commands in a single wcar request uses efficient Redis pipelining under the hood, and returns a pipeline reply (vector) for easy destructuring, etc. -
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OpenRDX is the continuation of the RDX (Raid-Data eXchange) project, a interface AddOn for World of Warcraft. RDX is a module based, raiding tool that seeks to present users with the information they need, when they need it.
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