If you run a B2B SaaS product, at some point your customers ask for "a dashboard" — some way to see their own data inside your app instead of exporting a CSV. Building that from scratch (charts, filters, permissions, performance at scale) is a real engineering project most teams don't want to take on. That's the niche both Explo and Toucan fill: embeddable analytics you white-label into your own product. They list each other as direct alternatives, which makes them a natural head-to-head.
Explo: flexible embedding, connects straight to your database
Explo connects directly to your existing database — no data duplication — and lets your end users self-serve on AI-assisted report generation. It supports several ways to ship the result: embedded in your app, emailed on a schedule, shared via link, or delivered through a fully white-labeled portal. It's SOC 2 Type 2 and HIPAA-ready, which matters if you're selling into healthcare, fintech or other regulated buyers.
Pricing: no public pricing — it's quote-based through a sales conversation, with a trial request form but no stated duration or tier structure.
Strengths: direct DB connection avoids data-sync headaches, multiple delivery formats beyond just an embed, and compliance certifications ready for regulated industries.
Limits: zero pricing transparency means you can't self-serve evaluate the cost, there's no free or freemium tier, and Explo was acquired by Omni — worth asking directly about the product's long-term independent roadmap before committing.
Toucan: a chat box instead of a dashboard
Toucan's pitch is narrower and more specific: instead of (or alongside) charts, your customers get a chat box where they can ask plain-English questions about their own data and get an instant chart back — no SQL knowledge needed on their end. It uses a multi-agent architecture specifically designed to reduce hallucinated answers, connects to major databases without a migration step, and includes multi-tenant security down to row- and column-level access control.
Pricing: free trial available; production usage is billed through an AI-feature credit system, with the actual tier pricing unpublished.
Strengths: natural-language Q&A is a genuinely different UX from a static dashboard, the multi-agent design is a direct answer to the "AI just makes up a number" problem, and multi-tenant row/column security is built in rather than bolted on.
Limits: also no public pricing, credit-based billing for AI features is hard to forecast at high query volume, and its customer base is smaller than the established BI platforms it competes with.
Side by side
| Explo | Toucan | |
|---|---|---|
| Core interaction | Embedded charts/dashboards, self-service reports | Natural-language chat that returns charts |
| Data connection | Direct to your database, no duplication | Connects to major databases without migration |
| Delivery formats | Embed, email, shared link, white-label portal | Embedded chat interface |
| Compliance | SOC 2 Type 2, HIPAA-ready | Multi-tenant row/column-level security |
| Pricing model | Custom quote, sales-led | Free trial + AI credit billing |
| Notable risk | Acquired by Omni — roadmap uncertainty | Smaller install base than established BI players |
Verdict
Pick Explo if what your customers actually want is a real dashboard experience — filterable charts, scheduled email reports, a branded portal — and you need HIPAA/SOC 2 credentials to close regulated-industry deals. Pick Toucan if your customers are less interested in exploring a dashboard themselves and would rather just type a question and get an answer, especially if reducing AI hallucination risk on financial or operational data is a real concern for you. Neither publishes pricing up front, so in practice the decision often comes down to a sales call with both — but knowing which interaction model your customers actually want should narrow that call down before you take it.