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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Twin is a no-code AI agent platform that transforms plain-English instructions into autonomous automations, connecting to APIs, controlling browsers, and executing workflows. It uses AI to design steps, manage exceptions, adapt to site changes, and select optimal models, enabling non-technical teams and enterprises to automate repetitive tasks, reduce costs, and achieve production-ready outcomes without coding.
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MESA is an automation platform for Shopify stores using Yedric AI to transform plain-English requests into live, multi-step workflows connecting over 100 apps (Shopify, Slack, Google Sheets, Klaviyo, Odoo, etc.). It automates order routing, inventory sync, notifications, reporting, and other repetitive tasks, allowing merchants to replace custom developer work, reduce errors and overselling, expedite operations, and implement prebuilt templates and AI-developed logic within minutes.
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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.