Lapu AI
Pricing model
Upvote
0
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.
Similar neural networks:
Upvote
0
WeTransform is an AI-based file importer and management platform that SaaS teams integrate into their products to automatically detect, map, clean, validate, and transform files like CSV, Excel, APIs, and PDFs into internal schemas. Its AI-driven mapping identifies field variations and formats, offers reusable mapping suggestions, and automates transformations, eliminating the need for engineers and onboarding teams to manually correct imports.
Upvote
0
Elvex is a versatile AI platform for enterprises that allows organizations to create, execute, and share context-aware AI agents and workflows integrating company data and tools. It leverages AI planning, sub-agent orchestration, and contextual comprehension to deliver tangible outputs like reports and presentations, recommends automations, and assists non-expert employees. It also ensures centralized governance, security, and model management, enabling IT to safely expand AI use across the business.
Upvote
0
Minded is a platform that leverages AI, including LLMs and a recorder, to convert your screen recordings of browser workflows into reusable, adaptable agents. These agents can be trained using natural language and a visual editor or exported for code-based customization. They operate through the UI without requiring an API and are designed to manage variations, read documents, and follow instructions rather than merely replaying clicks. Teams utilize Minded to swiftly automate repetitive web tasks without extensive engineering, scale operations with consistent 24/7 "AI employees," and maintain enterprise controls, audit trails, and developer extensibility.