• Empower Your Contact Center with Human-Like AI Conversations Icon
    Empower Your Contact Center with Human-Like AI Conversations

    Deliver faster resolutions, lower costs, and better CX without hiring another agent.

    Enterprise Bot, based in Switzerland, is a pioneer in Conversational AI, Process Automation, and Generative AI. With the trust of esteemed enterprise giants across industries like Generali, SIX, SBB, DHL, and SWICA, Enterprise Bot is revolutionizing both customer and employee experiences. Through its advanced integration with Large Language Models (LLM) such as ChatGPT and Llama 2, and its unique patent-pending DocBrain technology, the company delivers unparalleled personalization, active engagement, and omnichannel solutions across platforms like email, voice, and chat. Furthermore, Enterprise Bot integrates with existing core systems, such as SAP, CRMs, Confluence and more, and with its proprietary middleware, Blitzico, enables the AI to not only respond to queries but also take action to resolve them. This dedication to innovation in four main use case areas, Customer Support, Sales and Marketing, Knowledge Management and Digital Coworker, elevates both CX and employee productivity.
    Learn More
  • Inspections+ Mobile forms for Dynamics 365 - Resco.net Icon
    Inspections+ Mobile forms for Dynamics 365 - Resco.net

    Start collecting field data without the hassles of complicated development thanks to resco.Inspections' native integration with Dynamics 365.

    Equip your frontline teams with a robust digital solution to simplify data collection and reporting. Handle inspections and audits effortlessly, even in remote locations, and create comprehensive reports on the spot, all integrated with Dynamics 365.
    Learn More
  • 1
    ShelveDB is a pure python SQL-like database engine, where queries are preformed in analogous python syntax. It uses only built-in modules and shelve as the data structure. It has regular expression searching, plus native python typing and type checking.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    Embedding the meaning of the datas in the storage can improve the consistency of the stored information and simplify the its exchange: the semantic structure is defined through a strong semantic typing of the data and the use of external dictionaries.
    Downloads: 1 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB