ZigZagUp

Investor overview

Building human judgment
in the age of AI.

ZigZagUp is developing a shared reasoning-and-judgment platform designed to grow across learning domains. Choices, confidence, and explanations inform targeted learning, while independent challenges examine what learners can apply without assistance.

Our first two products—Personal Finance and KuEra—bring this approach to financial decision-making and language understanding. The ambition is a reusable learning architecture, not a collection of disconnected AI tutors.

Platform and first products in development.

Contact the Founder
Concept illustration of cyan branching paths labeled Reasoning, Judgment, Decisions and Growth. The illustration depicts an ambition, not measured results.

Proposed shared architecture

One Reasoning Engine.
Multiple Applications.

ZigZagUp’s proposed architecture connects a shared reasoning framework with learner signals, targeted learning, and independent checks. Each product brings its own subject content and learning context; the underlying approach is designed to be reusable.

Shared reasoning core

Shared foundation · IKCJ
Intuition Knowledge Critical Thinking Judgment
Learner signals
Choice · Confidence · Explanation
Training approach
Identify knowledge and reasoning gaps Target learning and practice Examine independent application

Personal Finance

Financial reasoning and judgment.

KuEra

Language reasoning and independent understanding.

Different learning domains. One shared approach to training and examining independent reasoning.

Our first products · In development

Two Products.
Two Validation Paths.

ZigZagUp’s first two products apply its reasoning-and-judgment approach to different learning challenges: financial decision-making and language understanding. Each provides an opportunity to evaluate how targeted learning support influences independent reasoning and knowledge application.

Independent Life

Personal Finance

Judgment for real financial decisions.

In development

One course. Two connected learning paths.

13 planned course chapters, mapped to California’s personal finance topic areas.

Start with a topic.

Learning Library

Explore financial concepts, check understanding, and practice applying knowledge.

Start with a goal.

Life Lab

Three missions connect all 13 topics through financial goals, changing circumstances, and decisions with consequences.

Start in either. Move between both.

  • Achieve financial stability.
  • Reach a goal by a deadline.
  • Build your financial future.

Personal finance puts reasoning into practice: applying knowledge independently when priorities compete and financial choices have consequences.

A look inside ZigZagUp

Product video coming soon

Early ZigZagUp personal finance concept showing Life Lab missions alongside the Learning Library.
Early product concept · In development

Evaluation objective

What Personal Finance aims to validate

Can learners move beyond remembering financial concepts to making and explaining independent financial decisions when goals, constraints, and circumstances change?

Academic Opportunity

KuEra

Find your words. Own your thinking.

In development

KuEra’s unit of learning is a thought expressed through challenging language. Vocabulary is both knowledge to build and evidence of how a learner constructs meaning. The planned experience connects vocabulary, comprehension, inference, and reasoning as learners interpret ideas, weigh evidence, and explain their understanding.

Words & Thought

Words

Meaning · Context · Nuance · Relationships

Thought

Comprehension · Inference · Evidence · Interpretation

Independent interpretationTargeted learning and practiceA new independent challenge

Choices, confidence, and explanations help identify where support is needed; a later challenge checks understanding without assistance.

One learning engine. Multiple test formats.

KuEra is designed to build language understanding first, then provide test-specific preparation on that foundation. Planned applications include SAT, ISEE, and other assessments, with content, difficulty, and question formats adapted to each—not a separate learning engine rebuilt for every test.

The intended architecture separates foundational learning from assessment-specific content and practice, creating a potential path to additional applications without rebuilding the core learning system.

Initial language-focused applications could include SAT Reading and Writing and ISEE Verbal Reasoning and Reading Comprehension. Each assessment requires appropriate content, capability mapping, and evaluation.

The broader purpose remains independent understanding—in academic learning, assessments, and beyond the classroom.

Evaluation objective

What KuEra aims to validate

Can targeted support for vocabulary, comprehension, and inference strengthen independent interpretation of unfamiliar language—and can learners apply that understanding across different question types and assessment formats?

An evaluation ambition

Progress requires evidence.

We plan to evaluate independent reasoning, knowledge application, retention, and confidence calibration—including how learners weigh trade-offs and how confidence matches demonstrated performance.

Capabilities and learning outcomes are not yet empirically validated. Evaluation must allow defensible differences in judgment; one later answer cannot establish lasting growth or transfer.

Product development roadmap

From vision to validation.

  1. ACADEMIC OPPORTUNITY

    KuEra

    CurrentQuestion architecture and learning experience design.

    NextTechnical prototype, learner testing, and iterative refinement.

  2. INDEPENDENT LIFE

    Personal Finance

    CurrentCurriculum development and educator review.

    NextPrototype development and classroom pilot preparation.

Next steps depend on readiness, expert feedback, and funding. Any pilot’s participation, scope, timing, and support would be agreed in advance.

The next chapter

Let's discuss what comes next.

Discuss the platform, development priorities, and potential strategic collaboration.

Contact the Founder

A conversation with the founder

Inna ArboFounder & CEO, ZigZagUpSan Francisco Bay Area

Inna brings more than 15 years of leadership experience at Visa. In 2025, she led a team recognized among the Top 10 in Visa’s Global GenAI Hackathon, with over 6,200 participants.

Read why I’m building ZigZagUp

Let’s connect

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