Build What Survives
Validate before you build.
Markets don't reward possibilities — they reward what survives contact with reality. AI can spin up a product in a weekend; it can't tell you why customers will care. Validex helps founders, innovation teams, and investors close that gap through structured experiments and causal learning, not correlation or decks.
How it works
Assumption mapping
Converts ideas into explicit assumptions so you know what must be true for the venture to work.
Experiment design
Proposes lean tests to validate critical risks before you commit time and capital. Every experiment has a price — we help you run the discriminating tests that isolate what truly drives behavior.
Learning ledger
Tracks what's proven vs. still assumed so decisions stay evidence-based.
Validation scorecard
Summarizes viability and risk exposure in one place.
Who it's for
Founders
Validate your idea and key assumptions before scaling.
Innovation teams
Run disciplined experiments and document learning.
VCs
Assess portfolio and pipeline with evidence, not decks.
Why it matters
Innovation has two halves: variation (ideas, features, possibilities) and selection (what actually survives). Tools can spin up polished products in a weekend — but markets select for causal fit, not fluency. Success comes when you change behavior for specific reasons: relieve a pressure, resolve a constraint, serve a real job to be done. Validex is built for the selection side: structured experiments, falsification discipline, and belief-updating so you build what survives.
Why AI alone can't do innovation
AI can ship a product in a weekend. Markets reward what survives — not what's fluent.
What AI does
Correlation, not causality
- Variation: features, copy, demos
- Patterns & fluency
- Next-token prediction
Great at generating. Weak at selecting.
What innovation needs
Causal fit & selection
- Structured experiments
- Falsification discipline
- Belief-updating from evidence
Test, discard, refine what survives.
Validex is built for the part AI can't do: explicit assumptions, lean experiments, systematic belief-updating.
What makes it different
Validex focuses on evidence, experiments, and causal learning — not pitch decks or opinions. Innovation, done rigorously, resembles the scientific method: form conjectures, test them through minimal viable experiments, discard what fails, refine what survives. You get a structured way to turn assumptions into testable hypotheses and track what you've actually learned.
Outputs
- Validation scorecard — viability and risk at a glance
- Assumptions map — explicit assumptions and dependencies
- Experiment plan — lean tests for critical risks
- Learning ledger — what's proven vs. still assumed
FAQ
What does "venture validation" mean?
It means testing the critical assumptions behind a venture (e.g. market need, willingness to pay, unit economics) through structured experiments, so you can decide whether to invest more time and capital based on evidence.
Is Validex an idea generator?
No. Generating possibilities is the easy part. Validex helps you with the hard part: selection. We help you validate and refine ideas by mapping assumptions, designing experiments, and tracking what you learn. Markets reward explanations that survive contact with reality — not more ideas.
How does Validex relate to AI?
AI and LLMs are great at variation — ideas, copy, features, even full demos. But they're built on correlation (predicting the next word), not causality. They can't tell you why customers will care or what actually drives behavior. Validex fills that gap: we focus on structured causal assumptions, real experiments, and belief-updating from evidence. Use AI to generate; use Validex to select and validate.
Who is this for?
Founders, innovation teams, and investors who want evidence-based validation instead of relying on opinions or decks alone.
How is this different from due diligence?
Due diligence often reviews existing materials. Validex helps you run new experiments and build a learning ledger from scratch, so you can validate assumptions before or alongside traditional diligence.
When will the product launch?
We're building toward a full launch. Join the waitlist to get early access and updates.
How do you handle data privacy?
We take privacy seriously. Data is stored securely and used only to deliver the product and communicate with you. See our Privacy Policy for details.