Waii provides a text-to-SQL API that utilizes generative AI to convert natural language queries into optimized SQL commands, enabling users to interact with complex databases without extensive data modeling. This technology enhances data accessibility and accuracy for teams managing intricate relationships across large datasets, while ensuring compliance with security and privacy standards.
Funding
$2.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Interacting with complex databases requires specialized knowledge of SQL, creating a barrier for users who prefer to use natural language. Traditional methods of querying databases can be time-consuming and require extensive data modeling, hindering data accessibility for teams managing intricate relationships across large datasets.
Solution
Waii offers a text-to-SQL API that leverages generative AI to translate natural language questions into optimized SQL queries, enabling users to access and analyze data without needing SQL expertise. The platform automatically generates a knowledge graph from the database schema, allowing users to query previously unknown databases. Waii supports various deployment options, including self-hosted, SaaS, and hybrid, to accommodate different security and privacy requirements. The system incorporates sophisticated caching and optimization techniques to deliver fast and accurate results while minimizing token usage.
Target Audience
Waii is designed for data analysts, business intelligence professionals, and other users who need to access and analyze data from complex databases but lack extensive SQL skills.
Features
- Text-to-SQL conversion using generative AI, allowing users to query databases with natural language.
- Support for complex queries, including multi-table joins, aggregations, and window functions.
- Compatibility with various database systems, including Snowflake, Postgres, MongoDB, and Redshift.
- Integration with data catalogs and semantic layers like Datahub, DBT, and OpenMetadata.
- Role-Based Access Control (RBAC) and Single Sign-On (SSO) for secure user access management.
- PII detection and access logs to ensure data privacy and compliance.
- Built-in query optimizer and optimization knowledge base for efficient SQL generation.
- Support for data visualization through natural language, with integration options for BI tools.