Immersive AI Education

The closest thing
to doing the job
before graduation.

Students step inside real companies, take on real roles, and make real decisions — with an AI mentor coaching them through every stage. Built around your course. Ready in minutes.

Request a demo See how it works
NovaPay · Finance Intern · Year 1
Stage 2 · Month 3
Building the burn rate model
"Priya wants a real model for Series B investors. You have a P&L and a deadline. The board meets Friday."
Which metric best signals runway health to an investor?
A. Net burn relative to cash on hand ✓
B. Gross margin percentage
C. Month-over-month revenue growth
AI Mentor: Priya Kapoor · CEO, NovaPay
3 / 8
8
career disciplines covered
∞
custom scenarios via AI
~10m
syllabus to live sim
How it works

A simulation isn't
a game.
It's a real experience.

Each simulation is a multi-stage career arc. Students don't just answer questions — they inhabit a role, navigate a company, and build on every decision they've made.

1
You enter a real company
Not a made-up scenario. A fully realized company — with financials, a team, a market position, and a problem that needs solving. Your AI mentor sets the scene and introduces you to the role.
2
You make decisions with consequences
Every choice affects what comes next. Allocate budget wrong and the next stage gets harder. Get the analysis right and the mentor pushes you further. Nothing is checkbox-style.
3
Your AI mentor coaches you through it
Ask questions. Get challenged. Receive written feedback on your reasoning — not just your answer. The mentor knows where you are in the simulation and what you're struggling with.
4
You defend your thinking in writing
Simulations aren't just multiple choice. Students write justifications, memos, and strategic recommendations — evaluated by AI for the quality of their reasoning, not keywords.
5
Your professor sees everything
Stage completion, accuracy by question, AI class insights, where the class split — all in a live dashboard. Walk into class already knowing what to address.
NovaPay · Finance Intern · Day 1
Stage 1 · Your first day
Welcome to NovaPay
ARR
$8M
Burn/mo
$400K
Team
45
"NovaPay is a Series A fintech building instant payment infrastructure for SMBs. You've just joined the finance team. Your first task is already waiting in Slack."
PRIYA · AI MENTOR
"Before we dive in — walk me through what you know about burn rate, and why it matters to a company at our stage."
Priya Kapoor · CEO, NovaPay
1 / 8
NovaPay · Finance Intern · Month 6
Stage 3 · Budget deliberation
The board wants cuts. You decide where.
"You have $3.45M in expenses and need to get to $400K net profit. R&D must stay above 12%. Max headcount is 55. Every line item you cut has a revenue impact. The board meets in 48 hours."
Net profit $412K ✓
Sales & marketing −$80K → −0.8% rev
Contract / freelance −$60K → no rev impact
R&D investment $480K · 13% ✓
Priya Kapoor · CEO, NovaPay
4 / 8
AI Mentor · Priya Kapoor
PRIYA · AI MENTOR
You cut Sales & Marketing first. Walk me through the logic — why that line over R&D investment?
YOU
S&M has a lower revenue multiplier than R&D. Cutting it costs less in lost growth. R&D protects the product roadmap — that's our main retention lever.
PRIYA · FEEDBACK ✓
Good reasoning. One thing to pressure-test: what's the lag time between a marketing cut and when it hits revenue? That changes the calculus in a 6-month sales cycle.
YOU
Right — if CAC lag is 6 months, cutting S&M now hits pipeline 2 quarters out. I should probably model that before committing to the cut.
Reasoning score: 74 → 88
5 / 8
Free response · Stage 4
Memo prompt
"Write a 2-paragraph memo to the board summarizing your budget decisions and defending the revenue impact trade-offs you made."
The primary driver of our cost reduction was targeting discretionary spend with lower revenue elasticity. Specifically, we reduced Sales & Marketing by $80K, accepting a 0.8% revenue impact in exchange for preserving R&D investment...
AI EVALUATION
Strong strategic framing. The reasoning is coherent and the trade-off logic is sound. Consider quantifying the revenue lag assumption to strengthen the board-level argument. Score: 87/100
Professor analytics · Finance 101
24
students enrolled
71%
avg score
142
mentor questions
Stage completion & accuracy
Finance intern
87%
Analyst I
62%
Senior analyst
54%
AI class insight: Stage 3 (budget deliberation) has a 54% accuracy rate — the sharpest drop. Consider a 10-min class debrief on revenue elasticity before students advance.
What makes it different

Not a quiz tool.
Not a game.

Most edtech makes learning more interactive. Kova makes it more real.

🧠
Built around your objectives
Upload your syllabus and Kova builds a simulation around your specific learning goals — not a generic scenario someone else designed for a different course at a different school.
Your course. Your sim.
🤖
A mentor who actually knows you
The AI mentor knows what stage you're in, what decisions you've made, and where your reasoning broke down. It doesn't give generic hints — it pushes back on your specific thinking.
Contextual, not canned
⚖️
Decisions that actually cost something
When students allocate a budget wrong or miss a strategic signal, it affects the next stage of the simulation. The experience of being wrong — and understanding why — is the learning.
Consequences, not checkboxes
✍️
Writing that gets evaluated, not just graded
Students write memos, justifications, and strategic recommendations. AI evaluates the quality of their reasoning — how they structure arguments, whether their logic holds — not just whether they hit a keyword.
Reasoning over recall
📊
The professor stays in the loop
You see exactly how every student is thinking — where the class split, which stage caused the most confusion, and what the AI mentor flagged. Walk into your next class already knowing what to address.
Insight, not just completion
🚀
From syllabus to live sim in minutes
The AI builder reads your learning objectives and generates the simulation for you. You review it, adjust anything you want, and publish. No configuration templates, no long setup process.
~10 minutes to live
What's included

Every simulation
comes with:

Not a bolt-on feature set. Everything a career simulation needs to actually work — built in from day one.

🎭
Multi-stage career arc
Students progress from junior to senior roles across a full simulation. Each stage builds on the last. Decisions compound. The experience deepens over time — not just activity to activity.
Example: Finance intern → Analyst I → Senior analyst → CFO, across 8 stages at NovaPay.
🤖
Named AI mentor with full context
Every simulation has a specific AI mentor playing a role inside the company. They know every decision the student has made and can reference previous stages. Not a generic chatbot — a contextual coach.
Example: Priya Kapoor, CEO of NovaPay, challenges a student's budget cut rationale based on their Stage 2 model.
📊
Live financial model activities
Students build and edit real financial models inside the simulation — P&Ls, DCF models, burn rate calculations. Not exported as .xlsx homework. Built in, checked in real time.
Example: Students calculate net burn and runway from a live P&L before advancing to the board presentation stage.
⚖️
Budget & deliberation activities
Students allocate real budgets against constraints — max headcount, minimum R&D, revenue impact per line item. Every cut has a consequence. They defend their choices in writing.
Example: Cut Sales & Marketing and accept a 0.8% revenue reduction, or protect it and find savings elsewhere.
✍️
Free response, AI-evaluated
Memos, recommendations, and strategic justifications — written by students, evaluated by AI. Scored on reasoning quality, argument structure, and logical consistency. Scores post automatically.
Example: "Write a 2-paragraph board memo defending your Series B financing decision." AI scores and gives written feedback in seconds.
🔔
Real-time professor alerts
Kova flags when a student is stuck, when a stage shows class-wide confusion, or when a response quality drops. You don't need to check the dashboard to know something needs attention.
Example: "3 students have asked the AI mentor the same question about revenue elasticity — consider addressing in class."
Disciplines

A simulation for
every course.

Eight purpose-built simulation tracks. Each one structured around the learning objectives of a real discipline — not adapted from something else.

📈
Finance & Accounting
Startup CFO Simulator
Intern → CFO · NovaPay Series A
🗺️
Strategic Management
CEO Strategy Simulator
Analyst → CEO · market entry & competition
📣
Marketing & Advertising
Brand Launch Simulator
Coordinator → CMO · go-to-market strategy
🧑‍🤝‍🧑
Human Resources
HR Director Simulator
Recruiter → CHRO · hiring, culture, compensation
⚙️
Operations & Supply Chain
COO Operations Simulator
Coordinator → COO · planning & supply chain
💡
Entrepreneurship
Founder Simulator
Idea → seed raise · validation & early decisions
🎓
Capstone & MBA
Executive Leadership Sim
Cross-functional C-suite · integrates all disciplines
🏢
Corporate Training
Custom Role Simulator
Built from your onboarding & role materials
Why it matters

The gap between
knowing and doing
closes here.

Most students arrive at their first job knowing the theory. They can define burn rate. They can explain the capital structure trade-offs. But when someone puts a real P&L in front of them and asks "what do we do?" — they freeze.

That gap isn't a knowledge problem. It's an experience problem. Students have never been in the room before.

"Involve me and I learn."

Kova puts students in the room — before graduation. Every decision they make, every memo they write, every question they ask the AI mentor builds the muscle memory for the job they're about to start.

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Priya · AI Mentor You've been at NovaPay two months. The Series A data room is due Friday. Walk me through what you'd prioritize pulling together first — and why.
You I'd start with the financial model — the P&L, burn rate, and runway projections. Investors will stress-test those first, and any inconsistencies will kill trust fast.
Priya · Feedback Good instinct. One thing to add: cohort data. Early-stage investors care as much about retention signals as they do about burn. If your CAC is rising but LTV:CAC is strong, that's the story you lead with. What does your current LTV:CAC look like?
You I'd need to calculate it — but I know CAC is $300 and we're at roughly $3,000 LTV on a 12-month cycle...
Priya · Good work That's a 10x LTV:CAC. That's your headline. Now let's build the slide.
Ready to give your
students the experience?

See a simulation built around your syllabus — before the demo. No commitment, no generic walkthrough.

Request a demo See pricing