Instant explanations
Re-explains any concept in simpler words, step by step, as many times as the learner needs.

We teach and train AI models at Lxera. Pro Anas is ours — he speaks your students' language, answers from your own curriculum, and never goes offline.
Training models is the work we do at Lxera, and Pro Anas is the one we built for education. He is not installed — he is raised. Every academy gets its own Pro Anas: a newborn inside your platform, fed only your material, corrected by your instructors, and promoted level by level until he answers like the person who wrote the course.
Pick a level to see what happens in it — every promotion is a decision your team makes, not a switch we flip.
The loop runs daily during training and never fully stops after launch.
Courses, documents and policies are connected and indexed, chapter by chapter.
Your content onlyHe replies to real questions in a sandbox, always naming the lesson he used.
Sandbox, no learnersInstructors grade each reply. Rewrites become the preferred answer permanently.
Human in the loopThe same questions come back later. Only a stable score moves him up a level.
Regression checkThe loop runs on its own — hover, tap or focus a step to hold it there.
Before launch, your team runs a fixed exam of real questions pulled from past intakes. Every answer is scored on accuracy, sourcing, tone and refusal behaviour. The thresholds below are the defaults — you can raise them.
Re-explains any concept in simpler words, step by step, as many times as the learner needs.
Reads progress, attempts and pace to suggest the next lesson instead of a generic answer.
Generates quizzes and model answers from the lesson the learner just finished.
Shows which lessons trigger the most confusion, so instructors fix the cause, not the symptom.
Drops into the Lxera LMS and EMS, or any system you already run, through a documented API.
Refuses what he cannot source, filters unsafe content, and logs every conversation for review.
Everything below is configurable per academy — scope, tone, thresholds and escalation rules are yours to set.
AI in education only works if the institution keeps control of the content, the data and the record.
Content and conversation logs can be kept in a Saudi region.
Designed around PDPL expectations, with retention you configure.
Every question, answer, source, correction and escalation is logged and exportable.
Instructors review flagged answers and correct the knowledge base directly.
Both. We run the pipeline and the sandbox; your instructors grade the answers. The grading is what makes the agent yours, so it cannot be outsourced to us.
Plan for a few hours a week over the training month — mostly reviewing sandbox answers in batches. After launch it drops to reviewing flagged replies.
Yes. Answers are retrieved from the content you connect and approve. When a question falls outside that scope he says so and routes it to a human instead of guessing.
Connect the new version and he re-reads it. Affected answers are re-tested against the exam before the update goes live.
Arabic — Modern Standard and Gulf dialect — and English. The language is detected per message, so a learner can switch mid-conversation.
No. Your material teaches your agent only, and is not sent for external model training.
Instructors flag the answer from the dashboard. The correction updates the knowledge base immediately, and the flagged exchange stays in the audit log.
Tell us about the idea or the AI agent you need. A Lxera builder will get back to you to scope it with you.