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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AskEnola
AskEnola is an AI-powered Super Analyst that replaces dashboards and manual reporting. It connects directly to your data warehouse, such as Snowflake, BigQuery, or Redshift, and understands your business KPIs to deliver instant answers to complex questions in plain English. Unlike BI tools that require setup, Enola is ready from day one and uncovers trends, diagnoses root causes, and predicts outcomes in real time. Teams across RevOps, BizOps, FP&A, and Product use Enola to speed up decision-making, cut reporting costs, and boost analytics adoption.
By combining BADIR™ methodology with contextual AI, it eliminates data silos and transforms how companies react to market changes. Whether you are analyzing churn, forecasting revenue, or monitoring performance, Enola gives you insights you can trust without tickets or dashboards.
Get your free demo now or try Enola in action on Sandbox.
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Brewit
Make data-driven decisions 10x faster with self-service analytics. Integrate with your databases and data warehouses all-in-one place (Postgres, MySQL, Snowflake, BigQuery, and more). Brewit can write SQL queries and create recommended charts based on your data questions. It also helps you drill down on the analysis. Chat with your database, visualize insights, & perform analysis. Ensure answer accuracy and consistency with a built-in data catalog. An automated semantic layer that ensures Brewit answers with correct business logic. Easily manage your data catalog & data dictionary. Building a beautiful report is as easy as writing a doc. Data without a story is useless. Our Notion-style notebook editor allows you to create reports & dashboards easily, turning raw data into actionable insights. All organized data products are usable by anyone who has a data question, regardless of their technical skills.
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GetDot.ai
Dot is an AI data analyst that connects directly to your data warehouse and lets users ask questions in plain language to get instant, trustworthy insights. It integrates with Slack, Teams, or a native web app to deliver ad‑hoc data retrieval, visualizations, root‑cause analysis, and weekly business reports with actionable recommendations. By learning from your existing BI tools, dbt metrics, LookML, SQL queries, and documentation, GetDot.ai ensures consistent, governed answers reinforced by role‑based permissions and row‑level security. Setup is code‑free, with one‑click integrations for Snowflake, BigQuery, Redshift, PostgreSQL, and other SQL‑based sources. Continuous monitoring uncovers unknown unknowns, while a dedicated training and governance workspace lets you refine its behavior and maintain accuracy. Designed for speed and simplicity, Dot replaces dashboard overload by delivering precise answers in seconds rather than days.
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