Make stands as a leading AI-powered visual workflow automation platform that transforms how businesses connect apps, automate processes, and streamline operations without coding expertise. The platform features an industry-leading drag-and-drop scenario builder with real-time data flow previews, supporting over 2,000 mainstream applications and services through seamless integrations. With its recent introduction of AI Tools in Open Beta, Make now incorporates advanced machine learning capabilities from OpenAI and Google Gemini, enabling users to build intelligent workflows that leverage generative AI, natural language processing, and automated decision-making for complex business processes.
The platform excels in democratizing automation across organizations, empowering both technical and non-technical users to create sophisticated workflows that handle data transformation, conditional logic, and multi-step processes with visual clarity. Make's AI-powered features enable intelligent automation scenarios including automated text analysis, sentiment detection, content generation, and context-aware routing based on machine learning predictions. Users can design workflows that automatically classify data, generate responses, make intelligent decisions, and trigger actions across connected applications, all while maintaining complete visibility through detailed execution logs and visual debugging tools.
What sets Make apart is its unique combination of visual simplicity and technical depth, offering advanced customization capabilities including API modules, data stores, and complex branching logic that surpass basic automation tools. The platform provides flexible pricing starting from a generous free tier with 1,000 operations monthly, scaling through Core ($9/month), Pro ($29/month), Teams ($53/month), and custom Enterprise plans. With its cost-effective operation quotas, powerful visual interface, and cutting-edge AI integration, Make serves organizations from small teams to large enterprises seeking to automate complex workflows while maintaining the flexibility to adapt and scale their automation strategies.
