LearnDrive AIFAQ
Plain answers about our studio
Questions about engagement models, budgets, data handling, academic integrity and what LearnDrive AI does not do.
We know the edtech market is noisy. These answers are written for procurement leads, instructional designers and deans who need clarity before booking a discovery call.
Is LearnDrive AI a "learn AI for personal income" course, an accredited school, or a homework / exam-answer (cheating) service?
No. We are an edtech studio that builds adaptive learning, intelligent tutoring and learning analytics for client institutions, always with educators in the loop. We are NOT an accredited school and do NOT issue degrees or diplomas. We do NOT sell personal-income AI courses, bootcamps or passive-income schemes. We do NOT write assignments, essays or exam answers for students — our tools protect academic integrity and are designed to support learning, not substitute for it.
"Learn" in our name means teaching and learning delivered for institutions and educators. "Drive" means learning momentum — keeping learners moving forward with personalized paths and progress analytics. It does not refer to cloud storage, motoring or sales targets. The .pro TLD is branding only.
AI supports educators and its outputs need human review before use with learners. We do not guarantee grades, test scores, admissions or outcomes. Student and minor personal data is handled responsibly under PIPEDA and applicable provincial privacy law.
How do engagements work — project or retainer?
Most clients start with a fixed-scope discovery sprint (four to eight weeks), followed by a pilot build. Once a solution is validated, some institutions move to a monthly retainer for model updates, LMS integration maintenance and educator training. Enterprise edtech SMEs often prefer retainer arrangements from the outset. Every engagement includes a written scope, milestone schedule and exit criteria.
What are typical budgets in CAD?
Discovery sprints: C$18,000–C$35,000. Pilot builds (adaptive paths, tutoring, analytics): C$40,000–C$95,000 depending on LMS integration depth and cohort size. Assessment and grading assistance: C$35,000–C$75,000. Retainers: from C$8,000 per month. We provide detailed estimates after an initial scoping conversation — never a one-size-fits-all quote.
How long does discovery and delivery take?
Discovery sprints run four to eight weeks. Pilot builds typically require twelve to twenty weeks including educator review cycles and bounded cohort testing. Timelines depend on data readiness, LMS access and institutional approval processes. We align milestones with academic calendars where possible.
Which AI models and platforms do you use?
Model and platform selection is driven by your learning objectives, data-governance requirements and existing LMS stack — not by vendor partnerships. We evaluate commercial APIs, open-weight models and custom fine-tunes based on accuracy, bias profiles, cost and provincial privacy constraints. All recommendations are documented for your IT and privacy teams before procurement.
How is student, educator and minor data handled?
We follow PIPEDA and applicable provincial privacy legislation (including FIPPA for Ontario public institutions). Data collection is minimized to what the project requires. Processing agreements, sub-processor lists and cross-border transfer assessments are provided where cloud AI vendors are involved. Special care applies to minors' data in K-12 contexts. See our Privacy Policy for full details.
What human oversight and responsible-AI practices do you follow?
Every model-driven recommendation, feedback draft and adaptive path suggestion passes through an educator review step before learner-facing deployment. We run model bias and fairness checks against representative profiles. Automated decisions about individual learners require explicit human approval. We document limitations, confidence levels and known failure modes for every production model.
What about accessibility (UDL / AODA)?
Accessibility is addressed during design, not bolted on afterward. Adaptive paths, tutoring interfaces and analytics dashboards are tested against WCAG 2.1 AA and AODA requirements. We work with your disability services office where applicable and provide accessibility audit reports as part of delivery.
Who owns courseware, models and project outputs?
Ownership terms are defined in each statement of work. Typically, custom courseware, adaptive path logic and integration code developed specifically for your institution belong to you upon final payment. Pre-existing studio frameworks and general-purpose tooling remain LearnDrive AI property. Confidentiality and IP clauses are standard in every contract.
What do you explicitly NOT do?
We do not guarantee grades, test scores, admissions, certifications or job placement. We are not an accredited school or credential issuer. We do not sell "learn AI to learn AI for personal income" courses. We do not provide homework, essay or exam-answer services. We do not offer childcare, lifestyle coaching or general LLM consultancy unrelated to teaching and learning. We do not make automated decisions about learners without human review and fairness checks.