Sensay provides AI-powered digital replicas that replicate your knowledge, personality, and communication style. These replicas handle tasks such as drafting emails, summarizing calls, and booking meetings, effectively acting as your digital assistant. They also serve as brand representatives, engaging customers and clients with personalized interactions. Sensay's replicas can be used for knowledge sharing, ensuring that critical information is always available. The core benefit is streamlining operations, boosting productivity, and reducing the workload of professionals in various fields.

Braintrust acts as a decentralized talent marketplace powered by AI, enabling companies to find the right candidates for their blockchain projects. By utilizing advanced algorithms and user preferences, it streamlines the hiring process, ensuring both employers and freelancers have their needs met effectively. It emphasizes transparency and community-driven growth, allowing for real-time interaction and feedback, which ultimately results in reduced hiring costs and improved project outcomes.

Divine Agent is a comprehensive AI agent platform that simplifies the design, development, and deployment of autonomous digital workers. Through its intuitive visual workflow builder, users can define agent behavior as a sequence of nodes, connect to any REST or GraphQL API, and select from supported LLMs like OpenAI and Google PaLM. The built-in memory module preserves context across sessions, while real-time analytics track usage, performance, and errors. Once tested, agents can be deployed as HTTP endpoints or integrated with channels like Slack, email, and custom applications, enabling rapid automation of customer support, sales, and knowledge tasks.

GreyCollar AI enables organizations to design, train, and deploy AI-powered digital workers through a user-friendly, no-code interface. By ingesting documents, knowledge bases, and APIs, these agents understand company protocols and workflows. They seamlessly integrate with communication platforms like Slack and Microsoft Teams, handling tasks such as answering FAQs, processing IT tickets, and routing service requests. Built-in memory systems allow agents to recall past interactions, ensuring coherent and personalized responses. Administrators can monitor performance metrics, adjust workflows, and scale agents across teams. Whether improving customer service, streamlining HR onboarding, or automating sales outreach, GreyCollar AI transforms manual processes into efficient, automated workflows that drive productivity and reduce operational costs.

Toggle Extension is designed to reshape the way users interact with the web by enhancing the human-AI relationship. It serves as a tool for participating in the creation of an innovative digital ecosystem through automation and AI. By using Toggle, users can earn points that can be redeemed for rewards, giving them a stake in the development and transformation of the AI-powered digital workforce. The extension manages web history, user activity, and website content to provide a seamless experience. Toggle Extension prioritizes user security and data privacy, ensuring users' data is not sold to third parties or used for unrelated purposes. Join Toggle to contribute to the future of digital work and enjoy exclusive benefits and rewards.

AgentLab is a ServiceNow framework for creating AI agents—also called digital workers—using a visual, drag-and-drop editor. Users link large language models with ServiceNow tables, define intents and actions, and orchestrate workflows for tasks like incident resolution, change approvals, and knowledge retrieval. Agents can be tested in built-in sandboxes, versioned, and monitored in real time. With connectors for external APIs and chat interfaces, AgentLab enables deployment across portals, Microsoft Teams, and Slack. The platform offers governance controls, audit trails, and analytics dashboards to ensure compliance and performance at scale.

FlyingAgent provides a modular architecture that leverages large language models to simulate autonomous agents capable of reasoning, planning, and executing actions across various domains. Agents maintain an internal memory for context retention and can integrate external toolkits for tasks like web browsing, data analysis, or third-party API calls. The framework supports multi-agent coordination, plugin-based extensions, and customizable decision-making policies. With its open design, developers can tailor memory backends, tool integrations, and task managers, enabling applications in customer support automation, research assistance, content generation pipelines, and digital workforce orchestration.