Seek

Powered by the proprietary SEEKER-1 model the first natural language to SQL model to surpass 90% accuracy on the Spider benchmark for exact match evaluation Seek AI provides enterprise-grade data querying accuracy that can be trusted for business decision-making rather than treated as an approximate starting point.

The platform's multi-agent architecture sets it apart from simpler text-to-SQL tools.

Rather than applying a single model pass to translate a question into SQL, Seek uses multiple AI agents working collaboratively a Semantic Parsing agent interprets the user's intent, additional agents validate the generated query against the database schema, and the system checks outputs for logical consistency before returning results.

This layered approach is the foundation of Seek's patent-pending hallucination prevention mechanism, which is designed to ensure business teams never receive misleading or fabricated data.

Database compatibility spans both Microsoft SQL Server and Google BigQuery, covering two of the most common enterprise data warehouse environments.

When connected to a database, Seek builds understanding of the schema, table structures, field relationships, and business terminology specific to that organization, enabling it to accurately interpret questions that use company-specific language, abbreviations, and domain conventions rather than requiring users to phrase questions using technical database terms.

Seek AI is built specifically for the business user persona analysts, operations managers, finance teams, and marketing leaders who need to answer data questions regularly but cannot or should not depend on data engineering teams for every report.