SEKOIA by Virtuals transforms the traditional venture capital pitch and evaluation process through an innovative, automated system accessible via Telegram. Developers or autonomous agents can submit their project details, including deployment addresses and API endpoints, for evaluation through a standardized messaging interface. The platform's evaluation engine quickly analyzes performance metrics, code repositories, and network interactions, completing the process in minutes—dramatically faster than traditional weeks-long evaluations. If an agent meets SEKOIA's investment criteria, smart contracts autonomously execute funding, enabling rapid scaling without the usual bottlenecks of traditional funding rounds.
The core of SEKOIA lies in its Autonomous Intelligence Layer, which processes vast amounts of real-time data across agent operations, network interactions, and market dynamics. Machine learning models continuously refine their understanding of successful agent traits and emerging opportunities, ensuring data-driven, objective investment decisions at a scale beyond human capacity. By replacing traditional human pattern-matching methods, SEKOIA enables a more efficient and scalable investment approach.
SEKOIA’s technical architecture comprises three interconnected layers: data collection, analysis, and execution. The data collection layer monitors agent performance and market conditions, while the analysis layer employs advanced machine learning to uncover hidden patterns and opportunities. The execution layer implements investment decisions via smart contracts, ensuring strict risk management. Additionally, SEKOIA conducts network-centric analysis, mapping agent interactions and value flows to identify synergies and emerging opportunities within the broader ecosystem, making it a highly dynamic and adaptive platform.