Time wasted
New hires spend hours hunting for answers instead of actually learning.
Upload the documents you already onboard people with. The platform turns them into a guided learning path, answers every question with an AI tutor grounded in those same documents, then quizzes new hires and scores them. Admins set it up and track everyone's progress; learners arrive to a path already waiting for them. Built for teams onboarding at volume or into document-heavy domains.
Every tutor answer is grounded in your own documents and checked against a curated answer key, so you can see where a response came from.
Enterprise Data AI — Semantic Layer
Instead of guiding new hires forward, the usual approach leaves them searching, leaves trainers repeating themselves, and leaves no one sure the material actually landed.
New hires spend hours hunting for answers instead of actually learning.
Trainers repeat the same explanations to every new person. At scale, that does not hold.
How well someone onboards depends on who trained them, not on the material.
There is no reliable way to confirm a new hire actually understood what they read.
The platform takes the onboarding material you already have and turns it into an interactive learning experience. It guides new hires through a path, answers their questions instantly and consistently with an AI tutor, checks that they understood with quizzes, and keeps the quality the same no matter how many people you onboard. Trainers stop being the bottleneck.
The team’s design goal is to cut onboarding time by 60 to 70 percent. That is a target to confirm in a pilot, not a measured result yet.
Who it is for
Teams onboarding many hires, or onboarding into complex, document-heavy domains where the same questions get asked over and over.
Who it is not for
Very small teams who onboard a couple of people a year and can do it over a coffee. If onboarding is not yet a repeated cost, you probably do not need this.
Processes and chunks your onboarding material, then builds a navigable learning path out of it. No course author required.
A real-time AI tutor answers using retrieval over your own documents, so the answer matches your material instead of the open internet.
Generates quizzes and checkpoints, then scores them automatically, so understanding is confirmed rather than assumed.
A progress dashboard tracks where each learner is, with analytics and reporting for the people running onboarding.
Personalized recommendations point each new hire to what they still need, instead of one fixed track for everyone.
Vector search and retrieval-augmented generation keep answers tied to source material, so the tutor is working from your documents, not making things up.
The platform has two distinct views. Admins set everything up and track progress across the whole team. Learners log in to a path that is already waiting for them.
The admin builds the onboarding experience and monitors every learner across every project.
The learner arrives to a path already set up for them. Their view shows only their own assigned project.
A complete onboarding journey runs as one path. Drop in a document; the new hire comes out the other side with a score.
Drop in the onboarding material you already use.
The platform turns the document into a guided path.
The new hire asks anything and gets an answer grounded in the source.
The tutor surfaces the questions that matter for the material.
The new hire is quizzed and scored, so understanding is confirmed.
The risk with any AI tutor is a confident wrong answer to a new hire who cannot tell the difference. This platform is built to make answer quality visible, checking responses against a curated ground-truth set and tracking every response so problems are something you can see rather than guess at.
Support more document types and formats.
Track progress across sessions and adapt paths as the learner goes.
SSO, LDAP, and direct connections to company knowledge systems.
PlannedA native app for on-the-go learning and micro-assessments.
PlannedReal-time training metrics, completion rates, and insights for managers.
Package as a client-facing product with tiered pricing.
PlannedThe fastest way to judge this is to hand it the document you onboard people with today and watch it build a path, answer questions on it, and quiz against it in a single session. A demo runs on your material, so you are evaluating it on your onboarding, not a sample dataset.
The demo covers your document, the generated learning path, a live tutor Q&A, and a scored quiz, with the answer-quality check visible.
Answers are retrieved from your own documents, checked against a curated answer key, and tracked so quality and regressions are visible. It is built to work from your material rather than open-internet guesses, and a pilot is where you confirm answer quality on your own content.
An LMS stores and serves content. This turns a document into a guided path, answers questions about it in real time, and validates that the learner understood, rather than just recording that they opened a module.
It runs on the documents you give it. When the source document changes, the path and the tutor work from the updated version, so you maintain the document, not a separate course.
SSO, LDAP, and direct connections to company knowledge systems are on the roadmap, not in the current build. A scoping conversation covers what your environment needs.
The end-to-end flow runs today on an uploaded document. A pilot points it at your real onboarding material; enterprise connections come later per the roadmap.
No pricing is set yet. The first step is a demo on your own document to see whether it fits.
Bring one onboarding document. We will turn it into a guided path, let you ask the tutor anything, and quiz against it, in a single 30-minute call.
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