Our Services

Higher Education

Course development, curriculum and program design, course review, faculty development, learning analytics, and advisory consulting for colleges and universities, led by a working professor of AI and machine learning who also ships production systems.

What We Do

Taught the Class, Built the System

Most outside help for colleges and universities comes from one of two places: technologists who have never taught a class, or consultants who have never built a system. The first produce tools faculty cannot use. The second produce decks that never leave the committee. The actual work lands back on faculty desks half done: a course that runs, a program that passes review, a policy that holds up.

Quantum Horizon AI covers that whole range, from building a single course to advising on institutional AI strategy. Our founder is a college professor of artificial intelligence and machine learning who teaches graduate and doctoral students, mentors their research, and advises capstone and dissertation work. He holds a graduate certificate in college teaching alongside a doctorate in computer science, and he runs a firm that ships AI into production. Both halves show up in every engagement.

Every engagement is scoped around the people who will own the result. Faculty keep authorship of their courses, departments keep their curriculum maps and the reasoning behind them, and leadership gets recommendations written to be acted on, not filed. When the work is done, you can run it without us.

Scope
Class to Campus
A single course, a full program, or an institutional AI strategy
Delivery
Any Modality
Built for the modality and the LMS you actually run, hybrid included
Authorship
Faculty Keep It
Instructors stay the author of record; we build with them, not around them
Deliverables
Ready to Teach
Syllabi, modules, assessments, rubrics, and guides, packaged for your LMS
Services

From Course Development to Consulting

Engagements start wherever the need is and stop when it is met. These are the six services we offer, and each one is shaped to the institution, the discipline, and the people who will own the result.

Course Development

New Courses, Built to Teach

Full course builds from learning outcomes through weekly modules, lectures, readings, activities, assignments, rubrics, and assessments, packaged for your LMS. Undergraduate through doctoral, online, hybrid, or on campus. Our depth is in artificial intelligence, machine learning, data science, analytics, software development, and the ethics, policy, and business questions around them.

Outcomes first
every assessment maps to a stated outcome
Program Design

Programs, Concentrations, and Certificates

Program outcomes, curriculum maps, course sequencing, prerequisites, and credit structure for new degrees, concentrations, minors, and certificates. We draft the catalog descriptions, the outcome statements, and the alignment documentation your governance and review processes expect to see.

Mapped end to end
outcomes, courses, assessments, evidence
Course Review

Quality Review and Course Refresh

Structured review of existing courses against your outcomes, your quality rubric, accessibility requirements, and current practice in the field. You get a findings report with specific fixes, and if you want them made, we make them: refreshed content, rebuilt assessments, updated tools and examples.

Findings with fixes
not a scorecard and a shrug
Faculty Development

Workshops for Faculty and Staff

Practical sessions on teaching with AI, redesigning assignments for a world with generative tools, data literacy for faculty outside computing, and using analytics in advising. Built around your courses and your policies, delivered live, with materials faculty can reuse the next term.

Reusable materials
slides, guides, and activities stay with you
Learning Analytics

Student Success and Institutional Data

Retention and early alert models, enrollment forecasting, course and program analytics, and dashboards for deans and chairs, built on your student information and LMS data. Privacy obligations for student records are designed in from the first query, not reviewed at the end.

FERPA aware by design
student data stays inside your boundary
Advisory and Consulting

Strategy for Provosts, Deans, and Chairs

AI strategy and policy for the institution, academic integrity guidance for the generative AI era, technology and vendor selection, program feasibility, and the alignment evidence that supports accreditation and program review. Written recommendations, prioritized, with a plan you can hand to a committee.

Decision ready
recommendations, priorities, a dated plan
How It Works

Four Steps From Brief to Classroom

The same sequence runs whether the deliverable is one course, a full program, a workshop series, or a strategy document. Each step ends with something you can read and sign off on.

01
Discover

We start with the outcome and the audience: who the learners are, what they must be able to do, and what the department or institution needs to show at the end. Workshops with faculty and leadership produce a written scope, outcomes, and constraints, signed off before anything gets built.

02
Design

Outcomes map to assessments, assessments to modules, modules to activities and content. For programs, the same logic runs at the curriculum level. For consulting, this is the options analysis. You see the design before the build, and you change it then, while change is still cheap.

03
Build

We write and assemble the course, the program documentation, the workshop, or the recommendation. Content is checked for accuracy, accessibility, and alignment, loaded into your LMS or document system, and tested the way a student or a committee member will meet it.

04
Launch

Faculty get a walkthrough and a facilitation guide. After the first run, we look at what students and instructors actually did and refresh what needs it. For strategy work, we stay available while the plan moves through governance and into practice.

How We Work

Six Rules Behind Every Engagement

Outside help in higher education fails for familiar reasons: content that ignores the stated outcomes, courses faculty cannot teach without the vendor in the room, accessibility fixed after the complaint, and AI guidance nobody can enforce. These six rules keep our work out of those traps.

FAQ

Frequently Asked Questions

Which learning management systems do you build for?

The one you run. Canvas, Blackboard, Moodle, and D2L Brightspace are the common cases, and we structure content so it can move between them without a rebuild. If you use something else, tell us at the start and we build to it.

Do you replace faculty, or work with them?

With them, always. The instructor of record stays the author and the authority on the course. Our role is design, development, review, and the production work, so faculty time goes to teaching and judgment instead of formatting modules at midnight.

What subjects do you cover?

Our depth is in artificial intelligence, machine learning, data science, analytics, software development, and the ethics, policy, and business questions around them. For courses outside those fields we pair with your subject matter experts and bring the instructional design, production, and review.

Can you help with accreditation or program review?

We prepare the alignment documentation, assessment plans, and evidence that reviewers ask for, and we help you present it clearly. Accrediting bodies make their own decisions, so we never promise an outcome. We make sure your case is complete, consistent, and easy to follow.

How do you handle generative AI in courses and policy?

Openly. We help institutions write AI policies that faculty can apply consistently, redesign assessments so they measure learning rather than tool access, and train faculty to use AI well in their own preparation. Where AI is used to produce course material, that use is disclosed and the content is reviewed by a person who knows the field.

Who owns the material and the data work at the end?

The institution does. Course content, program documents, workshop materials, and any analytics code or dashboards we build are delivered into your systems under your ownership. We keep nothing you would need our permission to use.

How long does an engagement take, and what does it cost?

It depends on the scope. A review of one course, a new graduate course, a program redesign, and an institutional AI strategy are different sizes of work. Send us the scope and the date you need it by, and the proposal comes back with a dated plan and the price for exactly that scope.

Get Started

Have a Course, Program, or Policy That Needs Building?

Tell us the audience, the outcome, and the date you need it by. We'll come back with a one page proposal: scope, deliverables, who does the work, and a dated plan your committee can read in five minutes.

Get A Quote How We Work

Ready to ship AI that actually ships?

Tell us the outcome you're after, not the AI you think you need. We'll come back with a clear path or a clear “no, this isn't an AI problem.” Either is more useful than a sales pitch.

Get A Quote How We Work