No implementation project, no IT scoping. The training experience that lives in the rest of Beetsol, dropped inside your product.
Customer training portals fail twice. They cost more to implement and maintain than the LMS behind them — and then stall at 20-25% usage. The reason is structural: customers would rather raise a support ticket than leave your product mid-flow to learn it.
With Beetsol
Beetsol skips the portal. Training lives inside your product where customers actually are. A customer gets stuck. They click an icon embedded in your UI, search inline, and a cited summarised answer surfaces from your indexed training content.
Customers find what they need without leaving the product or raising a ticket. One pilot customer embedded Beetsol in their dashboard. Feature adoption for previously underutilised capabilities increased 15% within 60 days.
— Beetsol pilot, B2B SaaS
Built for what comes next
SaaS pricing is shifting toward usage, where every unadopted feature is revenue not realised. Embedded learning is the only architecture where every feature gets the in-context help it needs to be discovered, used, and expanded into.
Pairs with
The search engine behind every embedded answer.
Embedded learning is a way to deliver customer training inside a software product instead of through a separate portal. Users access training content — including search, answers, and courses — without leaving the app they're working in. It's typically deployed via an iframe or widget, with single sign-on so users don't need to log in again.
Training can be placed anywhere your frontend architecture allows standard web embeds. Common locations include inside the product UI itself, support portals, onboarding flows, and dashboards. The same training content can appear across multiple surfaces with a single embed.
No. Embedded learning surfaces quick answers and short modules where users work. Beetsol's learner app delivers the complete learner experience — courses, paths, and longer-form learning. The same indexed content powers both, so a module can surface inline or live inside a course.
Yes. When users can self-serve in the exact moment of need, many issues that would have become support tickets get resolved instantly. Industry research on self-service knowledge shows 20-30% ticket deflection is typical when answers are easy to find. Embedded learning makes that the default placement rather than an extra navigation step.
Yes. The indexed training content that powers embedded search can also serve as the retrieval layer for AI assistants built into the product. Because the content is already structured for semantic search, it's well-suited for grounding AI responses without building anything separate.