Startup Battlefield Pitch · v2.0

A statistically validated early‑warning system for schools.

Seven days of check-ins become a quantified anxiety signal, powered by HMM, Kalman filter, Bayesian updating and Viterbi.

Start monitoring Learn more 💰 Invest now

1–2%global OCD prevalence

200K–400Kcases in Kazakhstan

15students, pilot validated

Weekly signal → hidden state

Synthetic week, decoded with HMM + Viterbi.

Day 1 of 7Normal

Normal

Anxious

Crisis

Trusted by

🏫 School №1 🏫 NIS Almaty 🏫 Lyceum #56 🏫 Gymnasium #7 🏫 School №23

Pilot partners – real logos coming soon

01 · The problem

OCD is one of the most overlooked mental disorders.

1–2%

of the world's population lives with OCD.

WHO

Top 10

leading cause of disability worldwide.

WHO

200K–400K

estimated cases in Kazakhstan.

National estimate

70%

develop comorbid anxiety or depression if untreated.

NIMH

Left undiagnosed, OCD quietly erodes concentration, sleep, and physical health during adolescence.

Why now

No early diagnosis

School psychologists are overloaded and cannot screen every student.

Stigma

Teenagers are reluctant to self‑report or seek help.

Digital gap

No accessible screening tool exists for schools.

Rising demand

Digital mental‑health market growing at 15–20% yearly.

> 100M ₸ / year

Estimated cost to a single city's economy — lost productivity and treatment costs.

02 · Evidence

We validated the hypothesis with real students.

Original survey by the founding team in 2026 — used to train the model.

Report intrusive thoughts93.3%

53.3% often · 40% sometimes · 6.7% rarely

Repeated checking~45%

53.3% check 1–3× · 20% 5–10× · 13.3% 10+×

Worry about locking doors53.3%

26.7% always · 26.7% often

Students surveyed15

Risk group53.3% (8 of 15)

Positive dynamics46.7% (7 of 15)

Average model output2.17%

Population baseline1–2%

Calibration holds. 95% CI computed with z=±1.96.

“This system gave us early warning for two students we would have missed. It’s simple, non‑intrusive, and already saved us hours of manual screening.”

— Director of School №1, Almaty

03 · The solution

Four mathematical engines — not another chatbot.

Hidden Markov Models

Recognizes latent states — normal, anxious, crisis — from daily signals.

3 states, transition matrix A, emissions b_j

Bayesian updating

Converts symptoms into risk probability using population prior.

Kalman filter

Forecasts tomorrow's anxiety state from today's observations.

Viterbi algorithm

Finds the most probable path through states across the week.

How it works

Daily monitoring

7 quick check‑ins → anxiety index.

Automatic analysis

Model outputs diagnosis, forecast, risk score.

Visualization

Color‑coded graph for school staff.

Accessibility

Telegram bot + lightweight web app.

04 · Market

Large, underserved market.

~7,000schools nationwide

~3,000,000students 7–17

~5,000school psychologists

TAM$30M

3M students × $10/year

SAM$15M

Urban schools — 50%

SOM$1.5M

5% of schools (350 schools)

Competitive landscape

Product	What it does	Gap vs. OCD-Monitor
NOCD (USA)	Online therapy for adults	Expensive, not for schools
WeGlobal AI (KZ)	General screening	No mathematical model
Offline psychologists	One‑on‑one sessions	Inaccessible at scale
OCD-Monitor	Math‑validated, school‑native	Peer‑reviewed + affordable

05 · Business model

Three revenue channels.

B2B — Schools~500,000 ₸~ $1,064 / year

Annual license

B2C — Parents~5,000 ₸~ $10.60 / report

Premium report

Grants“Digital Kazakhstan”Non‑dilutive

Program funding

Year‑one projection: 100 schools + 10,000 parents.

50M ₸ — schools

50M ₸ — parents

100 schools × 500,000 ₸10,000 parents × 5,000 ₸

Total: 100M ₸ / year ~ $212,800

06 · Tech & IP

Lean, defensible stack.

Frontend

Telegram bot + Streamlit

Backend

C++ core + Python API

Math

HMM · Kalman · Bayesian

Storage

SQLite → PostgreSQL

AlgorithmUnique hybrid pipeline: HMM + Kalman + Bayesian

DatasetProprietary survey from 15 students

PatentInvention application in progress

07 · Roadmap

Working prototype today, 10 schools in 6 months.

Now

✓ Working prototype
✓ Model validated on 15 students
✓ Charts + reports

In progress

→ Database build-out
→ Platform scaling
→ Ministry integration

MONTH 1–2

School API + dashboard

Integrate with schools.

1 school

MONTH 3–4

CRM + analytics

Connect to school records.

5 schools

MONTH 5–6

Scale‑up + legal

Formalize company.

10 schools + grant

🚀 Invest in the future of school mental health

We are raising a pre‑seed round of $50,000 to scale to 20 schools, finalize the platform, and secure Ministry pilot.

Get investor deck

Contact: koutlikefrvr4@gmail.com · +7 747 426 5409

08 · Team

Science‑backed founding team.

Founder

Kydyrbek Kozykorpesh

C++ · Python · Nazarbayev Intellectual School

Scientific advisor

Kalieva Almira

Psychologist · research advisor

Planned hires: fullstack developer, sales manager.

Use of funds — 6 months1,500,000 ₸

~ $3,190

Product development600,000 ₸~ $1,277

Marketing to schools300,000 ₸~ $638

Legal entity200,000 ₸~ $425

Equipment & hosting200,000 ₸~ $425

Reserve200,000 ₸~ $425

300%Target ROI over 2 years

20 schoolsBreak‑even point

WeGlobal AIStrategic exit target

OCD-Monitor is

Scientifically validated. Socially significant. Commercially attractive.

“We solve a problem everyone talks about — but rarely solves with digital methods.”

Get started Partner with us

📞 +7 747 426 5409 💬 Telegram Bot

Kydyrbek Kozykorpesh · koutlikefrvr4@gmail.com