About Seltz

Building Web Knowledge for the AI Era

Seltz builds Web knowledge infrastructure for a new class of users: large language models and autonomous AI agents. As these systems become primary consumers of the Web, access to Web data must be reliable, efficient, and designed for machine reasoning rather than human interfaces.

Modern AI applications require more than wrapped APIs or generic search endpoints. They need continuously updated, high-quality Web context and precise retrieval, under clear operational control, and without reliance on opaque third-party services. Seltz is built from the ground up to provide this infrastructure directly.

Data sovereignty is a core principle. By owning and operating the entire Web knowledge pipeline, Seltz enables predictable, auditable system behavior and allows organizations to avoid dependency on external providers.

The platform is grounded in research and academia, drawing on advances in information retrieval, systems engineering, and efficient machine learning. This foundation shapes how relevance, scalability, and performance are designed and evaluated under real-world conditions.

Efficiency and cost are treated as fundamental design constraints. By optimizing the entire pipeline, Seltz minimizes unnecessary computation, controls operational costs, and delivers sustainable performance as workloads scale - supporting real-world AI systems, not just prototypes.