nao
nao is an AI-powered data IDE designed specifically for data teams, combining a code editor with native integration to your data warehouse so you can write, test, and maintain data-centric code with full context. It supports warehouses such as Postgres, Snowflake, BigQuery, Databricks, DuckDB, Motherduck, Athena, and Redshift. Once connected, nao replaces a traditional data-warehouse console by offering schema-aware SQL auto-completion, data previews, SQL worksheets, and the ability to switch easily between multiple warehouses. The core of nao is its AI agent, which has full awareness of your actual data schema, tables, columns, metadata, and your codebase or data-stack context. It can generate SQL queries or full data-transformation models (e.g., for dbt workflows), refactor code, add or update documentation, run data-quality checks and data-diff tests, and even surface insights or run exploratory analytics, all while respecting data structure and quality constraints.
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Alkemi
Alkemi’s flagship product, DataLab, is a secure AI-native workspace that connects directly to your company’s governed data from sources like Snowflake, BigQuery, Databricks, or simple CSV uploads and lets users ask questions in plain English to get instant, transparent answers, charts, and recommendations with no SQL or analysts required. DataLab indexes and analyzes your data inside a private, secure environment so every insight is traceable and verifiable, and your data never leaves your control, protecting intellectual property and governance. It bridges the gap between complex data stores and everyday decision-making by combining the clarity of business intelligence with conversational AI to reduce BI backlogs and speed decisions for marketing, finance, product, sales, operations, and more. DataLab also enables data providers to turn datasets into interactive, AI-ready experiences that buyers can explore securely without exposing raw data, and accelerating data discovery.
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LangGrant
LangGrant connects large language models to your production databases for trusted, governed data analysis. Instead of one-off answers, it produces persistent, versioned Data Plans that show their work - the steps and logic behind every result. Teams review, validate, and reuse these plans without moving data. A single question can join data across multiple databases, and LangGrant auto-adapts to each schema. It works with models like Claude, OpenAI, and Google Gemini, and supports Snowflake, SQL Server, Oracle, PostgreSQL, BigQuery, Redshift, Azure SQL, Databricks, and MySQL. Data Plans move through a code-like lifecycle (test, sign-off, staging, approved) with access controls, PII protection, compliance validation, and audit trails. By reusing reasoning instead of paying AI for every question, it cuts cost, improves collaboration, and builds organizational intelligence. From the team behind Windocks, recognized by Gartner.
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Compass
Compass is an AI-powered, Slack-native data assistant that turns plain English questions into instant answers, summaries, charts, and insights powered by your actual warehouse data, so teams can make data-driven decisions without waiting on BI backlogs or building dashboards first. It connects directly to major data warehouses (Snowflake, BigQuery, Redshift, Postgres, AWS Athena, Databricks, and more), learns your schema and context, and generates governed, SQL-backed responses and visualizations in the tools your team already uses, all while keeping your data where it lives and under your control. Compass builds organizational context over time so answers become more accurate and relevant, supports collaboration through Slack threads, can schedule recurring analysis, and provides a shared repository of definitions and insights that help reduce analytical silos and reliance on specialized SQL users.
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