Courses, training, and certifications grounded in your docs.
Enterprise learning on the governed platform: course authoring, deep assessments, certifications, learning paths, and a knowledge base with community Q&A — all grounded in your organization’s own documents. Import existing SCORM and xAPI content and run it directly, while an AI study assistant tutors learners on your own material.
Courses, assessments, and certifications grounded in your own documents.
Build courses, assessments, and certifications from your own material, and every completed training becomes audit-ready compliance evidence.
The actual Learning workspace, screen by screen.
Not mockups — the real product surfaces, every agent, record, and governed action on one system. Click any frame to see it full size.
Training built from your own documents
AI drafts courses, lessons, and assessments from your own corpus under the limits you set, anything bound for learners stops for a person to approve, and every change is written to a tamper-evident, SHA-256 hash-chained record.
Learners browse one catalog of role-based, self-paced, and required training, while authors start from your material instead of a blank page — so each course is grounded in what your organization already knows.
Draft with AI, publish on purpose
AI does the routine authoring under the limits you set — drafting modules and lessons from your documents — but a course only moves from draft to published when a person promotes it, and every status change lands on a tamper-evident, SHA-256 hash-chained record.
One workspace manages every course across draft, published, and archived states, with categories, enrollments, and module-and-lesson structure in view — so nothing reaches a learner until it has been reviewed and released.
Exams that grade themselves, fairly
AI handles the routine grading under the limits you set — auto-scoring objective questions and drawing a fair, randomized exam for every learner — while any manual override or contested result routes to a person, and every attempt is written to a tamper-evident, SHA-256 hash-chained record.
Quizzes and exams carry their own passing thresholds, attempt limits, and time limits, so a recorded result is defensible the moment it lands — and exactly how it was scored stays visible, never hidden.
Sequenced programs with real prerequisites
AI can assemble and recommend the next step under the limits you set, but enrollment, prerequisites, and the passing bar are enforced by the platform — a consequential gate like a required course holds a learner until it is met, and each step is recorded on a tamper-evident, SHA-256 hash-chained record.
A path chains required courses in order with a defined passing score, turning onboarding or annual training into a structured journey that issues a verifiable certificate only when every required step is genuinely complete.
Every completion is tracked, not claimed
AI does the routine monitoring under the limits you set — surfacing who is on track, in progress, or overdue — while any consequential change to a learner’s record stops for a person, and every enrollment and completion is written to a tamper-evident, SHA-256 hash-chained record.
Enrollment, live progress, and completion status sit in one worklist, so a finished training is audit-ready evidence the moment it lands — with no manual collection and nothing taken on trust.
Credentials anyone can confirm
AI does the routine issuing under the limits you set — minting a credential the moment a path is genuinely complete — while revoking or overriding one stops for a person, and every credential is anchored to a tamper-evident, SHA-256 hash-chained record.
Each certificate carries its own verification ID, earned and expiry dates, and final score, so an employer, auditor, or regulator can confirm it is genuine by serial number — and a learner can download or share it on the spot.
Course content is grounded in your own corpus, AI authoring lands under a review gate, and every completed training becomes evidence on the verifiable record.
For learning, enablement, and compliance-training teams. It runs on the same governed platform as everything else — one permission model, one verifiable record, and the same agents acting under the limits you set. Part of one governed platform: start with Learning and add the rest when you’re ready, with nothing to re-integrate or re-secure.
See Learning on your own work.
Bring a real example and we’ll walk it through Learning — under the same controls you’d run in production.