Toucan
Lets a software company add a chat box where its customers can ask plain-English questions about their own data and get an instant chart back.
🔗 Visit Toucan
Description
Most business software eventually gets asked for "a dashboard." Toucan takes a different angle: instead of only shipping static charts, it lets a company's customers type a question in plain English — like "what were my top products last month" — and get an answer with a visual, no SQL required. It's built to be embedded inside someone else's product rather than used as a standalone app.
Under the hood, Toucan runs a multi-agent AI system (separate agents for coordination, analysis, data exploration, and visualization) designed to reduce hallucinated answers, connects to common databases (Snowflake, BigQuery, PostgreSQL, MySQL, Oracle, ClickHouse) without needing to migrate data, and enforces row- and column-level security so different customers only see their own data. Pricing runs on a credit-based system for the AI features rather than published flat tiers, and the company reports 350+ customers.
💬 Our review
The short version: Toucan is a solid pick if your priority is letting non-technical end users ask data questions in plain language, rather than just staring at a fixed dashboard — the multi-agent design specifically targets the hallucination problem that makes a lot of "chat with your data" tools untrustworthy.
Against Explo or Luzmo, Toucan's edge is the conversational layer; if your customers just want clean static dashboards without asking questions, those alternatives may be simpler to evaluate since their packaging tends to be more transparent. The credit-based pricing is the main thing to model carefully before committing — it's harder to predict at scale than a flat per-seat or per-dashboard fee, so ask for real usage numbers from a pilot before signing an annual contract.
📊 Global score
🤖 AI-enriched data
Essai gratuit disponible. Facturation à la consommation via crédits pour les fonctionnalités IA ; grille de paliers non publiée.
Pros
Chat IA en langage naturel, aucune compétence SQL requise côté utilisateur final
Architecture multi-agent pensée pour réduire les hallucinations
Compatible avec les principales bases de données sans migration
Sécurité multi-tenant intégrée (accès par ligne et colonne)
Cons
Tarifs non publiés, contact commercial nécessaire
Facturation par crédits IA difficile à anticiper sur un fort volume
Base clients plus restreinte que les grandes plateformes BI établies