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StemX AI research

Research platform that pairs students with professors
TractionFoundersCompanyThe roundstemx.uz
EdtechB2C / B2BBukhara
StemX teaches students to write a research paper, from the first idea to a professional version. Its own research-based AI covers many fields and topics: it narrows the topic, sets sub-questions, recommends relevant sources and articles, shows how to build an outline and roadmap, and grades the finished paper with guidance on making it professional. Mentors will join the platform so students can connect with them and learn more.

Traction

$700
Sales to date, Oct 2026
2,000+
Users
30+
PhD mentors on board
  • 2 Cornell professors agreed to collaborate; interns from MIT, Yonsei and Ulsan (Sep 2026)
  • First sale on 10 Sep 2026, four sales by 21 Sep
  • Revenue from a premium tier; next, connecting students with professors and mentors

The problem

A research paper is decisive for foreign university admissions and young researchers, yet there is no resource to build one from scratch. Mentors and professors are expensive and hard to reach.
  • No resource or helper for building a research paper from scratch
  • Mentors and professors are very expensive
  • Professors are hard to reach, even with a large budget
  • Prestigious research programmes admit only 1-5% of applicants

The solution

A personal AI research mentor for every student. Programmes like Lumiere and Pioneer are costly and accept 1-5% of applicants; StemX opens that guidance to everyone, with human mentors next.
  • Topic - Narrows the topic and sets sub-questions
  • Sources - Recommends relevant articles to read
  • Structure - Builds an outline and a roadmap
  • Grading - Assesses the finished paper

The company

What makes it different
A personal AI mentor for every student
Prestigious programmes offer no AI research mentor for each student, and they are expensive and highly selective, with acceptance rates of 1-5%. StemX opens this guidance to every student.
Who it's for
  • School graduates planning to study at foreign universities
  • Young researchers, undergraduate students and research enthusiasts
How it makes money
  • Now: revenue from the premium version
  • Next: bringing professors and mentors onto the platform and connecting them with students
Market
~65M
Global target users
~120,000
Target users, Uzbekistan
$2-4M
Academic EdTech, annual spend
Professors are expensive and hard to reach even with a large budget, while AI has advanced to the point where research can be done with its help. Together, these two factors make now the time to solve the problem.
Competitors
  • Prestigious programmes - Lumiere and Pioneer: strong, but expensive and with very low acceptance rates.
  • No alternative - Many students have no tool at all and write the paper from scratch, without help.

Founders

Gulasal Rizakulova
Founder at StemX AI research

Founder and CEO of StemX and StemX AI Research. Gulasal knew the problem first-hand: professors and research supervisors are very expensive and, even with a large budget, hard to reach.

Has gathered a 100+ person team around StemX, from developers, IT specialists and designers to content makers, operators, ambassadors and coordinators, covering every region of Uzbekistan and Karakalpakstan.

Admitted to MIT LaunchX, a programme for startups and entrepreneurship, on a full scholarship in 2026. Also a Yoshlar Ventures ambassador, helping spread literacy about startups and opportunities.

Background
  • MIT LaunchX 2026: full scholarship, a programme for startups and entrepreneurship
  • Founder and CEO of StemX and StemX AI Research
  • Built a 100+ person team across every region of Uzbekistan and Karakalpakstan
  • Yoshlar Ventures ambassador, spreading literacy about startups

Milestones

  1. 3 Sep
    Approached 20+ mentors; 5+ interns joined
  2. 7 Sep
    New CTO on board; website ready
  3. 10 Sep
    First sale, $150
  4. 11 Sep
    Second sale, $75: 2 sales in 2 days, $225 in total
  5. 21 Sep
    Fourth sale, $75, bringing total sales to $350
  6. 22 Sep
    Academic partnerships: 4+ PhD mentors, 3 interns (MIT, Yonsei, Ulsan); 2 Cornell professors agreed to collaborate
  7. Oct
    Total sales doubled to $700; 2,000+ users and 30+ PhD mentors on board

The round

$40,000
raising
Use of funds
Product and AI research mentor
40%
User acquisition and global market entry
35%
Team and operating costs
25%
Batch 2 Demo Day
$40,000
raising

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