RaimaDB
RaimaDB is an embedded time series database for IoT and Edge devices that can run in-memory. It is an extremely powerful, lightweight and secure RDBMS. Field tested by over 20 000 developers worldwide and has more than 25 000 000 deployments.
RaimaDB is a high-performance, cross-platform embedded database designed for mission-critical applications, particularly in the Internet of Things (IoT) and edge computing markets. It offers a small footprint, making it suitable for resource-constrained environments, and supports both in-memory and persistent storage configurations. RaimaDB provides developers with multiple data modeling options, including traditional relational models and direct relationships through network model sets. It ensures data integrity with ACID-compliant transactions and supports various indexing methods such as B+Tree, Hash Table, R-Tree, and AVL-Tree.
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Enterprise Bot
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.
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ChatKit
ChatKit is a conversational AI toolkit that lets developers embed and manage chat agents across apps and websites. It provides capabilities such as chatting over external documents, text-to-speech, prompt templates, and shortcut triggers. Users can operate ChatKit either using their own OpenAI API key (paying according to OpenAI’s token pricing) or via ChatKit’s credit system (which requires a ChatKit license). ChatKit supports integrations with diverse model backends (including OpenAI, Azure OpenAI, Google Gemini, Ollama) and routing frameworks (e.g., OpenRouter). Feature offerings include cloud sync, team collaboration, web access, launcher widgets, shortcuts, and structured conversation flows over documents. In sum, ChatKit simplifies deploying intelligent chat agents without building the full chat infrastructure from scratch.
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