EverWorker

Integrail, which has rebranded to EverWorker, is a technology firm that provides a no-code platform for creating and deploying agentic AI workforces. The company was established in 2023 by Anton Antich, with serial entrepreneur and Veeam Software co-founder Ratmir Timashev joining as a significant investor and Executive Chairman. In February 2025, the company secured $10 million in a seed funding round led by Timashev to advance its no-code AI Studio platform. The leadership team includes Peter Guagenti as CEO and co-founder Anton Antic as CPO.

The company's core mission is to enable non-technical business users to build, manage, and deploy intelligent AI agents without needing data scientists or AI engineers. The platform, EverWorker, allows users to design and orchestrate multi-agent AI workflows through a visual, drag-and-drop interface, automating repetitive tasks and complex business processes. It is designed for business leaders and domain experts across various departments like finance, HR, marketing, and operations, allowing them to create AI solutions tailored to their specific needs. Revenue is generated through a subscription-based model for its platform, supplemented by expert guidance and professional services to support clients from strategy to deployment.

The EverWorker platform (formerly Integrail AI Studio) empowers users to create an AI workforce comprised of specialized and universal AI workers. Specialized workers handle specific tasks like ticket triage, data analysis, or financial reporting, while universal workers act as team leads, orchestrating the specialists. Users can build these agents by describing tasks in plain language, and the platform handles the technical complexities, including workflow logic, system integrations, and memory management. A key feature is the platform's ability to integrate with a company's existing systems, such as CRMs and Slack, and access corporate knowledge bases to inform the AI's operations. This allows the AI workers to operate within the business's existing environment and data, performing end-to-end processes like customer onboarding, order management, and content generation. The platform is LLM-agnostic, allowing businesses to use any AI model that fits their requirements, and can be deployed in a private cloud or on-premise environment to ensure data security.

Keywords: agentic AI, no-code platform, AI workforce, business process automation, workflow automation, multi-agent systems, AI agents, enterprise AI, AI application development, Ratmir Timashev, Anton Antich, Peter Guagenti, AI orchestration, knowledge worker automation, digital transformation, AI integration, business user AI, operational efficiency, automated workflows, intelligent automation, AI-powered productivity, custom AI applications, enterprise software, AI Studio