AI is changing both how we teach and what we teach. So we built platforms for both.
It all comes from one belief. Pedagogix OS takes the grind out of running a course, so you can teach. And Pedagogix SIMS turns the hard parts of management into simulations students actually remember.
In EYEWALL, the AI opens each game with a new, unpredictable storm.
One belief, worked out two ways
Pedagogix OS
The operating system for teaching. It runs the whole life of a course, and you sign off on every step.
- Design
- Improve
- Administer
- Assess
- Tutor
Pedagogix SIMS
The simulations. Real, research-grade practice for the parts of management you can’t teach from a slide.
- Leadership and crisis management
- Marketing strategy
- Manufacturing operations management
- Entrepreneurship and strategy
- The future of work
- Competitive strategy
The whole life of a course, run by AI, signed off by you
From the first syllabus to the last office hour. The AI does the heavy lifting; you set the standard and approve what goes out. It lives in Canvas, and it treats the numbers as a way to teach better, not a way to watch students.
Design
Draft a whole course from your objectives, then push it to Canvas in one click.
Improve
See where the class is struggling, down to the question, before it snowballs.
Administer
Lives inside Canvas, Moodle, or Schoology and keeps everything in sync.
Assess
It drafts the grades and feedback, you approve. About 80% less time grading.
Tutor
A tutor for every student, any hour, that knows your course and cites its answers.
Simulations for the work managers actually do
One engine, pointed at the real jobs of management. Every simulation is AI-native, built for research, and comes with everything you need to run it in class. Share the engine, and a new SIM takes weeks, not years.
EYEWALL
Six people run a coastal city’s crisis cabinet as a hurricane bears down, and the AI opens each game with a new, unpredictable storm. Everyone holds a piece of what’s happening, but no one sees the whole thing, so the real job of whoever’s in charge is getting the room to say out loud what it already knows.
KICKFIELD
You run the marketing organization of Apex Athletic, a twelve-billion-dollar omnichannel athleisure brand, while a venture-funded direct-to-consumer upstart named Ridgeline eats into your Gen-Z base. Five of you divide the firm, brand, growth, lifecycle, and insights, with the CMO holding it together, and you fight the fight a real marketing team fights now: the creator economy, loyalty programs and first-party data, celebrity versus creator economics, and the cookieless attribution mess.
YIELDFORGE
You run a contract manufacturing plant for a season, on your own, and there is always more work than there are hours. Every order that walks in wants a slot on a machine that somebody else also wants, so the question is never whether the plant is busy.
DASHKART
You are the new chief executive of a quick-commerce startup in Hyderabad, delivering groceries in ten to fifteen minutes from forty-eight dark stores, with about a tenth of the market and eight quarters to prove the thing can ever make money. Four established rivals are already there and a global entrant is circling.
AGENCY
You are the managing partner of a 650-lawyer firm, and the ground is moving. Every quarter the machines can attempt more of what your associates used to do, and the gap between what they can attempt and what they get RIGHT is where your whole problem lives.
TURNAROUND
Meridian Air is three years old, twenty aircraft, one base, five cities and forty-eight million dollars of launch debt, and one of those cities is stranded in a state where you have no base. Ten half-year periods.
Watch a simulation in action
A couple of minutes inside the simulations.
Grounded in the research. Built to produce more of it.
Every simulation doubles as a real research instrument. It’s grounded in the literature of its field, and it quietly records what teams actually do, so the same session that teaches a cohort can hand a faculty member data worth publishing.
EYEWALL
Turns each cohort into a study of how information gets shared, who steps up to lead, and whether people trust the AI when the pressure is on.
KICKFIELD
Every scored decision leaves clean behavioral data on how teams weigh strategy against cost.
YIELDFORGE
Every student in a cohort plays the identical, seeded market, so the differences in the data are differences in judgment and nothing else.
DASHKART
Eight quarters of pricing, expansion and rider-pay calls leave a clean record of how founders trade growth against unit economics.
AGENCY
Four years of stance, checking and apprenticeship decisions leave a record of how professionals delegate to machines and what they do about the defects they cannot see yet.
TURNAROUND
Ten periods of network, fleet and crew calls, graded as capture against a per-market ceiling, so a hard market played well is visibly better than an easy one played adequately.
The IP behind the platform
Every filing comes back to the same idea. The learning objectives steer the AI, the educator keeps the final say, and we lean on what’s transparent and measurable rather than what’s just clever.
Objective Graph Controlled AI Course Design and Artifact Generation System
AI generates educational content aligned with learning objectives, syllabi, assignments, and assessments, while maintaining academic rigor.
Objective Level Learning Analytics and Adaptive Course Redesign System
Objective-level insight into learning outcomes, supporting data-informed, educator-controlled course improvement.
More filings in progress
We’re actively filing as the platform grows. New patents land here as they’re submitted.
EYEWALL is ready to buy today
You pay per participant, separate from the OS. Instructors can check out online in a few minutes; for a whole campus or cohort, just ask us for a quote.