People

40+ years EdTech. PhDs in Education and Psychology.

Two exits. 7M+ learners. Four founders, two advisors. Operating from Singapore and Silicon Valley.

Founders

The four people building this.

Dmitriy Istomin

Founder · Strategy & Growth

1 Exit · 50+ Countries. Founded Examus (AI assessment, exited to C>T). 15+ years EdTech across 50+ countries. Berkeley SkyDeck. Operating from Singapore.

Taras Pustovoy

Founder · AI Architecture

1 Exit · 7M+ Learners. Co-founded National Platform of Open Education (3M learners). 25 years in EdTech, curriculum design, and learning science. Alchemist · Coursera.

Alex Volkov, PhD

CRO · Learning Design

Learning science expert at Arizona State University. Former Vice-Rector. Authored TR-2026-002, the aviation-grade reliability framework powering 8Hats Lab's AAL classification. Stanford · ASU.

Mariam Mamedli, PhD

PM · Research Lead

14 years in AI and economics. Translates research findings into testable product hypotheses. Owns experimental design behind KRG, JIS, and DEP.

Academic Council

Advisors anchoring the science.

Dale P. Johnson, PhD

Advisor · Education Science

Director of Digital Innovation, Arizona State University. Harvard MPP. Pioneer of Adaptive + Active Learning. Decades shaping how institutions adopt new learning technology at scale.

Irina Zingerman, PhD

Advisor · Psychology & Learning

Process-Oriented Psychology. 15+ years experience. Human-AI interaction design. Anchors the behavioral evaluation methodology behind the Anti-Yes-Man (DEP) metric.

Four pillars of trust

Why this team can do this.

Trust transfers down the stack: People → Process → Content → Implementation.

  1. People

    Humanities + AI + IT.

    PhDs in Education and Psychology. 150+ courses authored on Coursera. 7M+ learners. 2 exits in EdTech AI. 40+ years EdTech in aggregate. Stanford · ASU · Harvard · Coursera · Berkeley SkyDeck.

    ▌ Credentialed humans

  2. Process

    Patent-pending learning science.

    Human-AI Learning Architecture (HALA) — 5 patents pending. Validated knowledge extraction framework. Battle-tested across 1.5M+ learners.

    ▌ Patent-pending learning science

  3. Content

    Expert content. Verified.

    Agent-native content framework. Trusted sources — validated science and world-class experts per specialty track. No AI slop. NeurIPS 2026 submission.

    ▌ Trusted sources only

  4. Implementation

    Safety-critical engineering.

    Aviation-grade reliability standard for AI (TR-2026-002 · FMEA · Markov instinct lifecycle). Verifiable alignment scores. Your data improves only YOUR agent — never cross-customer. Mapped to AIUC-1 · NIST AI RMF · ISO 42001.

    ▌ Safety-critical engineering

Join the lab.

Open to advisor candidates and research peers. Hiring will start when we close the next round.

Get in touch →