Keenable, a startup supported by Accel, has announced a new Web indexing technology designed to maximize the capabilities of AI agents. Unlike traditional search engines optimized for human consumption, this technology serves as a data infrastructure specifically built for AI agents to efficiently retrieve and process information.
Keenable is developing a specialized infrastructure that allows AI agents to structurally understand and extract Web-based information required for complex tasks. By providing an indexing technology that enables AI to autonomously crawl websites and rapidly acquire accurate, real-time data, Keenable helps improve the decision-making precision of autonomous systems.
Currently, many AI agents rely on inefficient Web scraping techniques, which often struggle with processing speed and data accuracy. Keenable optimizes dynamic and unstructured Web data into formats easily consumable by AI, effectively eliminating a major bottleneck for autonomous agent workflows.
The company aims to establish an environment where AI agents can standardize the use of expansive Web data. With the backing of Accel, Keenable intends to accelerate the development of this infrastructure layer to set a new standard for Web data utilization.