How it works

From market research to a defensible build decision

VEYTR treats a venture decision like an investment memo: every claim has a source, every score has inputs, and every commitment has a named human behind it.

The pipeline

  1. 01

    Research

    Research agents scan defined market categories for evidence of existing spend, unresolved workflows and recurring complaints.

  2. 02

    Verify

    Every retrieved URL is checked. Sources that cannot be fetched, or that return low-confidence content, are downgraded or discarded.

  3. 03

    Score

    Candidates are scored across commercial factors. Proven spend acts as a gate: without it, an opportunity cannot be recommended.

  4. 04

    Critique

    An adversarial pass argues against the opportunity: substitutes, incumbents, switching costs and regulatory exposure.

  5. 05

    Validate

    Surviving candidates are tested commercially — landing pages, priced offers and deposits that measure willingness to pay.

  6. 06

    Decide

    A human reviews the evidence and records GO, PIVOT or STOP. Only GO decisions enter the build queue.

Questions this raises

How does VEYTR discover opportunities?

VEYTR runs automated research across defined market categories, retrieving competitor pricing pages, customer complaint threads and descriptions of manual work, then clusters those signals into candidate opportunities.

How does VEYTR verify evidence?

Each source URL is fetched and checked for reachability and confidence before it is admitted. Evidence strength reflects how many independent domains support a claim; unverifiable claims are labelled UNKNOWN.

What does GO, PIVOT or STOP mean?

GO means the evidence supports proceeding to a commercial test. PIVOT means the underlying demand looks real but the proposed wedge does not. STOP means the evidence does not support further investment.

What requires human approval?

Advancing an opportunity into the build queue, launching a commercial experiment and any spend decision all require explicit human approval. Automation may research and score, but never commits resources.

Why validate demand before building?

Building is the most expensive way to test an assumption. A priced offer can falsify a demand hypothesis in days for the cost of a landing page.