It is an AI support agent designed to follow the same workflows used by human teams to resolve complex customer service issues, such as handling delayed orders or replacing compromised credit cards.
It is an AI support agent designed to follow the same workflows used by human teams to resolve complex customer service issues, such as handling delayed orders or replacing compromised credit cards. Unlike standard AI chatbots that simply summarize help center content, Lorikeet’s AI agent integrates deeply with existing team processes, enabling it to perform tasks no other AI agent can. It is built to work like a human agent, ensuring seamless collaboration with both human and AI team members.
Lorikeet’s AI agent is trained on a company’s specific content, allowing it to engage with customers, resolve issues, and continuously improve through review processes. It is capable of triaging tickets, ensuring they reach the right agents, and scaling support operations effectively. Companies using Lorikeet have reported significant improvements, such as a 10-point boost in customer satisfaction (CSAT) scores.
The platform differentiates itself by offering deeply human-like customer support, handling complex workflows, and providing free handling of up to 100,000 FAQ lookup tickets to demonstrate its capabilities. Lorikeet is positioned as a powerful alternative to current AI leaders, enabling businesses to achieve what was previously considered impossible in customer support.
It is a platform designed to help product teams build, deploy, and scale AI agents for automating customer interactions with speed, control, and observability.
It is an AI-powered development platform designed to transform software development by automating tasks, enhancing code quality, and improving team productivity.
It is an AI automation agency that develops custom AI-driven solutions for innovative companies to streamline operations, enhance productivity, and reduce costs.
It is a platform designed to build and deploy AI-driven workforce solutions to enhance customer and agent experiences using Generative AI, without requiring programming skills.
It is a Customer Support AI platform designed to automate ticket resolutions and enhance customer service efficiency by integrating with hundreds of customer service platforms.
It is an AI-powered customer service platform designed to automate and optimize customer interactions, delivering precise responses and enhancing satisfaction across multiple channels.
It is a comprehensive customer experience management (CXM) platform that unifies all aspects of customer interactions—customer care, sales, social media, and automation—into a single, powerful solution.
It is an AI-powered customer support agent designed to handle complex customer interactions end-to-end by learning from plain language procedures, eliminating the need for code, decision trees, or rigid workflows.
It is a platform that transforms your knowledge base into a reliable, production-ready AI assistant powered by large language models (LLMs) to instantly answer technical product questions and improve documentation.
It is a platform designed to unlock enterprise expertise for employees by deploying AI agents that integrate Gemini’s advanced reasoning, Google-quality search, and enterprise data, regardless of where it is hosted.
It is a generative AI-powered customer service automation platform designed to enhance customer experiences by providing personalized responses, resolving complex issues, and taking actions across all communication channels.
It is an AI-powered virtual receptionist service called "Hey, Caiden!" designed to handle phone calls for businesses, allowing employees to focus on high-value tasks while ensuring professional and consistent customer interactions.
It is an open-source platform called **bolt.diy** that allows users to prompt, run, edit, and deploy full-stack web applications using any large language model (LLM) of their choice.
It is an evolving, fully autonomous, self-programming Artificial Intelligence system designed to document, search, and write code using advanced technologies like Large Language Models (e.g., GPT-4) and a vector database.
It is a memory system designed to enhance AI agents by enabling them to retain and utilize knowledge effectively for completing tasks, ranging from simple to complex.
It is an Agent-Computer-Interface project called Open Interpreter, developed in Seattle, Washington, designed to provide a new way for users to interact with computers.
