Source ledger
Every material fact has an origin, observation date, scope and confidence.
Market validation & launch capability
Make the market decision before the large investment.
PureML combines market intelligence, competitive evidence, economics, red-team analysis, rapid prototyping and real-world tests into a decision you can inspect.
Decision architecture
Research is an input. The output is invest, revise or stop.
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Market
Define the market boundary, buyer, job, geography and decision.
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Demand
Measure search, spending, buyer behaviour and direct evidence without confusing interest with purchase.
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Competition
Map incumbents, substitutes, pricing, distribution, proof and unserved constraints.
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Economics
Model acquisition, delivery, margin, working capital and sensitivity with source-traced assumptions.
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Red-team
Attack the thesis, identify fatal uncertainties and set stop conditions.
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Prototype
Build the smallest credible experience or operational test.
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Real-world test
Ask the market for a meaningful commitment, not a compliment.
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Decision
Invest, revise or stop—with the evidence and uncertainty visible.
Not an SEO report
A market opportunity assessment tests whether a market is accessible and worth entering.
Market size alone cannot answer that. The assessment connects buyer demand, competitive intensity, economics, operational feasibility, risk and the evidence still missing.
Assumption register
Inferences and hypotheses stay separate from measured data.
Red-team memo
The strongest reasons not to proceed are documented before sunk cost makes them inconvenient.
Validation allocation
The next dollar and week go to the uncertainty most likely to change the decision.
A useful engagement
Begin with a bounded decision, not a request for “market research.”
- Should we enter this market, and under what conditions?
- Which buyer and problem create the strongest practical wedge?
- What evidence would invalidate the opportunity quickly?
- Can the channel and delivery model support the economics?
- What small real-world test can produce a decision rather than more analysis?
What the current evidence permits
PureML can demonstrate the research system—not guarantee a market outcome.
Our evidence supports structured screening, search and competitor research, regulatory and economic analysis, scoring, red-team review and explicit confidence. It does not justify invented certainty, market-size claims without sources, or a promise that every tested opportunity should launch.
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