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About
Waii AI SQL is an enterprise-ready text-to-SQL API platform that enables developers and data teams to embed natural language querying directly into their products and workflows. Powered by a purpose-built SQL compiler, optimizer, and an agentic knowledge graph, Waii translates plain English into highly accurate, production-grade SQL—achieving 95%+ accuracy even on complex queries involving multi-aggregate window functions, CTEs, UDFs, JSON, semi-structured data, geolocation, and streaming extensions. Unlike generic LLM-based SQL tools, Waii automatically builds a persistent semantic layer that learns your database's specific business context, terminology, and structure. This allows teams to add custom definitions (e.g., 'An active user is someone who logged in at least once in the last 30 days') so generated queries are always aligned with business logic. Waii also focuses heavily on query performance, generating SQL that pushes down operations early, limits scan sets, and optionally uses single-pass algorithms—eliminating costly query-related outages. The API scales to thousands of databases, schemas, tables, and columns, and is proven to work with Snowflake/star schemas, operational databases, normalized databases, and more. Waii is ideal for data platform teams, SaaS companies, and enterprises looking to add reliable natural language query capabilities without sacrificing SQL quality or performance. Salesforce has announced plans to acquire Waii, further validating its enterprise credibility.
Key Features
- 95%+ Accurate SQL Generation: Combines a purpose-built SQL compiler and optimizer with the latest AI models to achieve industry-leading accuracy on complex natural language to SQL translation.
- Automated Semantic Layer: Automatically builds and maintains a persistent knowledge graph of your database, allowing business-specific context and terminology to be incorporated into every generated query.
- Query Performance Optimization: Generates SQL optimized for your specific database engine—pushing down operations early, limiting scan sets, and using single-pass algorithms to prevent costly, inefficient queries.
- Broad SQL Feature Coverage: Handles real-world SQL complexity including complex join graphs, CTEs, multi-aggregate and window functions, UDFs, JSON, semi-structured data, geolocation, DML, DDL, and streaming extensions.
- Scales to Any Schema: Works out of the box with thousands of databases, schemas, tables, and columns across Snowflake/star schemas, operational databases, and normalized architectures.
Use Cases
- Embedding natural language query interfaces into SaaS data products so end users can ask questions in plain English without writing SQL
- Enabling business analysts and non-technical stakeholders to self-serve complex database queries without relying on data engineering teams
- Automating the generation of complex analytical reports that involve multi-table joins, window functions, and business-specific metrics
- Replacing slow, hand-crafted SQL in data pipelines with AI-generated, performance-optimized queries to reduce query execution times
- Building internal data exploration tools for enterprises with large, complex schemas where manually writing accurate SQL is time-consuming and error-prone
Pros
- Industry-leading accuracy: At 95%+ accuracy on complex queries, Waii significantly outperforms generic LLM-based SQL generation, making it reliable enough for production data products.
- Performance-aware SQL output: Unlike tools that simply translate language to SQL, Waii actively optimizes generated queries for database performance, reducing the risk of production outages.
- Business context customization: The automated semantic layer lets teams encode domain knowledge and business definitions, so queries always reflect real-world meaning rather than raw schema structure.
- Enterprise-grade scalability: Proven to handle large, complex real-world databases with thousands of tables and columns, and is trusted by enterprise data teams.
Cons
- Paid/enterprise pricing: Waii is an enterprise API product without a public free tier, which may put it out of reach for individual developers or small teams exploring text-to-SQL solutions.
- API integration required: Using Waii requires integrating it into an existing application or data workflow; there is no standalone end-user query interface out of the box.
- SQL-specific scope: Waii is purpose-built for SQL generation and database querying—teams looking for a broader AI data analysis or BI solution may need to combine it with additional tools.
Frequently Asked Questions
What makes Waii more accurate than using a general-purpose LLM for SQL generation?
Waii uses a purpose-built SQL compiler and optimizer—not just a general LLM prompt—combined with an agentic knowledge graph that understands your specific database schema and business context. This combination enables 95%+ accuracy on complex queries that generic LLMs frequently get wrong.
Which databases and SQL dialects does Waii support?
Waii is designed to work with a wide range of database architectures including Snowflake, star schemas, operational databases, and normalized databases. It handles complex SQL features like CTEs, window functions, UDFs, JSON, semi-structured data, geolocation, DML, DDL, and streaming extensions.
How does Waii's semantic layer work?
When you connect your database, Waii automatically generates a knowledge graph representing your schema's relationships and structure. You can then enrich this layer with custom business definitions (e.g., how your company defines an 'active user') so that all generated queries incorporate that context persistently.
How do I get started with the Waii API?
You can request access via the Waii website and review the API documentation to integrate it into your product. Waii is designed to work out of the box once connected to your database, with automated knowledge graph generation requiring no manual schema annotation.
Is Waii being acquired by Salesforce?
Yes, Salesforce has announced an agreement to acquire Waii. This acquisition further validates Waii's enterprise-grade technology and may result in deeper integrations with Salesforce's data and analytics ecosystem in the future.
