Lapu AI
Pricing model
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Lapu AI is a desktop AI agent for macOS and Windows that utilizes advanced language models to organize and perform multi-step processes directly on your computer. It accesses local files, executes terminal commands, and coordinates actions across applications like Google Workspace, Notion, GitHub, and Figma while ensuring permission-based, privacy-focused operations. By transforming plain-language objectives into approved, repeatable automations, it manages repetitive tasks like document processing, data extraction, file management, and cross-application workflows, delivering outcomes instead of merely answers.
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ASPR AI serves as a unified, agent-based sales assistant that leverages specialized AI agents to automate CRM updates, meeting preparation and documentation, email management, and personalized coaching. By extracting and centralizing tribal knowledge from calls, CRM data, and documents, and integrating with over 100 applications, it minimizes administrative tasks, speeds up onboarding, enhances forecasting, and aids B2B revenue teams in closing more deals through AI-driven insights and consistent coaching.
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Adapt is a universal AI work agent that integrates with your company's tools and data within Slack. It answers questions using live business context, automates complex workflows, and enables code-free app creation. Its AI retrieves relevant context, directs queries to optimal models for data analysis, and performs actions across systems, providing teams with evidence-based answers, reducing manual tasks, and speeding up decision-making.
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Demi AI is an AI-driven proactive assistant integrated into Gmail and Outlook. It manages your inbox, composes personalized replies and follow-ups, schedules meetings, transcribes calls, extracts action items, and synchronizes updates with CRMs and other tools. Its models adjust based on your edits to align with your tone and highlight priorities. This reduces administrative work, ensures no follow-ups are missed, and maintains accurate CRM data, allowing sales and client-facing teams to concentrate on higher-value tasks. Additionally, enterprise-level encryption and a policy against training on your data safeguard sensitive information.