Toucan is an embedded analytics platform built for ISVs and SaaS companies. It lets you ship analytics features directly inside your product, under your brand, without pulling your engineering team off core roadmap work.
The platform combines three layers: Toucan.ai, a conversational AI that answers user questions in plain language with instant visualizations; a no-code builder that lets product and ops teams create and iterate on dashboards without writing code; and a multi-tenant architecture designed for external, customer-facing deployments from day one.
Over 4 million Toucan visualizations are viewed every year.
Toucan.ai is the native AI layer built into the platform. Your end users ask questions in plain language — "Which accounts are at risk this quarter?" — and get an accurate visualization instantly, with no SQL and no BI training required.
The AI works on top of your governed semantic layer: metric definitions, business rules, row-level security. That means answers are grounded in your data model, not generated from scratch. Your customers get a ChatGPT-style experience inside your product.
Your internal BI tools serve your analysts. Toucan serves your customers. These are different problems.
Internal exploration tools are built for power users who know what they're looking for. Toucan is built for external users who need clear, guided, fast answers — without training, without SQL, without a support ticket to your team. Toucan connects to your existing data stack and complements it, not replaces it.
Tableau and Power BI were designed for internal analysts. Toucan was designed for your customers.
That distinction drives everything: full white-label UI under your brand, native multi-tenancy with isolated instances per client, row-level security managed without custom code, and a builder your product or ops team can use without filing an engineering ticket. You're not deploying a BI tool inside your product — you're giving customers a native analytics experience.
First dashboards can go live in under two weeks. That's not a sales claim — it's what customers like DC Power and Verified Market Research actually did. Timeline scales with project scope and data readiness, but the no-code builder and ready-made connectors remove the usual bottlenecks.
Pricing is based on your architecture: number of tenants (your end clients), user volume, and deployment mode (SaaS or self-hosted). There's no fixed public grid because ISV configurations vary significantly.
If you want a rough estimate before a conversation, you can use our cost calculator. For a real number, request a demo — 30 minutes and you'll have a clear picture.
Toucan employs a subscription license business model. Our business model is similar to that of a software publisher with licenses per user per month, and with no hidden costs. Our prices are competitive and have been set up with scalability in mind.
Toucan connects to 600+ data sources: SQL and NoSQL databases, cloud warehouses (Snowflake, BigQuery, Redshift), REST APIs, flat files (CSV, Excel), and native connectors to common BI and ERP tools.
You choose between scheduled refresh (hourly, daily, weekly) or real-time live queries. Full connector documentation is at docs.toucantoco.com.
Yes. A single Toucan application can pull from multiple sources simultaneously — an SQL database, a Salesforce instance, and an Excel file, all in one dashboard. Standard for ISVs with fragmented data environments.
Yes. If your current BI platform exposes a connection layer (like MicroStrategy), Toucan can sit on top of it. For proprietary formats like Tableau or Qlik, Toucan deploys a script to extract and ingest the data automatically.
Two modes: scheduled refresh (customizable from hourly to weekly via the built-in scheduler) or live data via real-time queries. The right choice depends on how time-sensitive the insights your users need actually are.
Yes. The recommended approach: prototype the user experience first using static or fake data, validate the use cases with a real panel of users, then build the data pipeline based on confirmed requirements. Toucan's fake data generator supports this process. It prevents months of data work that turns out to solve the wrong problem.
Yes. Toucan integrates via iFrame or JavaScript SDK into any web or mobile application. The experience is fully white-label — your colors, your fonts, your logo. Your customers see your product, not Toucan.
By default, data is hosted on servers located in France (Scaleway DC3 datacenter, Tier III certification). Hosting location can be adjusted based on your data sovereignty requirements.
Toucan was founded in 2014 in Paris. The company now operates globally, with teams in France, the UK, the Nordics, the Netherlands, and the United States.
Toucan's culture is built around five values: WTFM, Each one teach one, Busy is the new stupid, Look for the bare necessities, Be well and take care. Full details on our team page.