ArboStar
ARBOSTAR stands at the forefront of business management solutions for the tree care and landscaping industry, offering a revolutionary, all-in-one platform. This cloud-based system is designed for businesses of any size, integrating essential tools to streamline operations. From Client Relationship Management (CRM) and Field & Equipment Management to Business Analytics, Accounting, Finance, Payment Processing, IP Telephony & SMS, Human Capital Management, and Quality Assurance with an ERP system, ARBOSTAR brings every necessary module under one roof for efficient and effective management. The interactive Map View feature further simplifies scheduling and marketing by showing real-time locations of leads, crews, and equipment, optimizing your business operations with ease.
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RaimaDB
RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times.
RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.
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Sapling AI Writing Assistant
AI assistant for customer-facing departments. Sapling works with messaging platforms and CRMs to assist agents in creating personalized responses. Managers can gain conversational insights that will help them coach and prepare their teams.
Sapling offers functionality for autocomplete, spelling, grammar checking, as well as snippets/canned message/text expander. All services can be hosted on-premise or in the cloud to meet security and privacy requirements. The Grammar and Spelling APIs allow Sapling's language models to be integrated into custom applications and use-cases.
Sapling Suggest pulls relevant answers from a team knowledge database and allows agents to respond faster to customer inquiries by clicking on the desired response. Instead of giving brittle, decision tree-based chatbots, empower agents.
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Twigg
Twigg is an innovative tool for managing context that enhances long-term interactions with large language models by transforming traditional linear chat threads into a visually branching tree of conversation nodes, empowering users to dictate the context provided to the model. Users can easily explore different conversation paths by generating new branches from any node, and they can optimize their prompts by cutting, copying, deleting, or relocating content, which effectively boosts performance while simplifying complexity. The tool features a user-friendly dashboard that monitors token usage for each model and provides clear insights into credit consumption. By allowing control of context at the node level, Twigg minimizes unnecessary token usage and facilitates the concurrent development of ideas, all without overwhelming the primary workflow. It is compatible with leading models through a Bring Your Own Key (BYOK) system and is tailored for projects requiring extended engagement, positioning itself as the “Git for LLMs” by enabling version control, branching, and meticulous context management for conversational AI tasks. As a result, Twigg not only enhances the efficiency of interactions but also empowers users to refine their conversational strategies more effectively.
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