Bilbo is an AI-powered assistant designed for teams using Metabase. It enables users to ask questions about their data in natural language and to generate queries without needing to write SQL. The product emphasizes collaboration, with the goal of making data exploration faster across teams.
Bilbo works by interpreting natural language requests, understanding the data schema, and constructing queries that reflect user intent. It uses the team's shared context to tailor results and visualizations, and it supports converting queries into visual charts for quick interpretation. The approach focuses on reducing back-and-forth with engineers by providing direct data access through familiar language.
The tool highlights capabilities around data visualization and sharing context. It presents options to visualize query results with different chart types and to share custom context with teammates. The home page shows example commands and demonstrates how Bilbo can produce charts and explanations from natural language prompts.
Bilbo is shown as adding to Chrome and states it currently supports Metabase, indicating browser-based access and integration limits related to Metabase instances. There is also an invitation to get started for free.
Jolene.pro answers plain-English questions about Excel and CSV files with charts, dashboards and a source trail back to the exact sheets and rows used.
Defog.ai provides an enterprise-ready AI data analyst that works with diverse data sources to query and analyze private enterprise data.
Promptmetheus is a Prompt Engineering IDE for composing, testing, and optimizing prompts across 100+ models for AI automations, agents, and workflows.
TweetEmote is an AI-powered tool to craft expressive tweets, threads, and replies for Twitter, aimed at creators and influencers seeking higher engagement.
AI Pal is a WhatsApp-based AI assistant that provides fast answers and content generation for messaging, social posts, planning, and translation.
GooseAI provides a fully managed NLP API service intended to reduce AI infrastructure costs for developers.