Core Insights - Skygen.AI has introduced a new architecture aimed at addressing the challenge of balancing high-performance automation with user-defined security boundaries in the AI market [1] Group 1: Product Features - Skygen.AI offers a flexible agent model with multiple security tiers, allowing users to define how their autonomous agent interacts with digital environments, from restricted access to full desktop control [2] - The company emphasizes adaptive in-context learning, where agents learn from user interactions and optimize future sessions based on real-time data [3] - Skygen's deep search mode is designed for long-term tasks, outperforming existing AI tools in depth and retrieval accuracy [4] Group 2: Real-World Applications - The company has tested its system across more than 40 use cases in the B2C segment, with one example showing a reduction of $3,000 in personal expenses through an autonomous financial audit [5] Group 3: Security Architecture - Skygen.AI employs a zero-trust security architecture using isolated Virtual Machines (Sandboxes) for each workflow, ensuring sensitive data remains protected [6] - The system utilizes a step-summarization approach to maintain performance over long durations and prevent context overflow during complex tasks [7] Group 4: Company Background - Skygen.AI is a technology company focused on developing autonomous software agents for the mass market, backed by $7 million in seed funding from MLVentures [8]