The right comparison.
Use a held-out survey, interview study or live experiment relevant to the same category, question, market and time period. State what was—and was not—available to the model.
Proof & validation
Trust is earned.
A compelling answer is not the same as a reliable one. Our standard is simple: make assumptions visible, compare with observed behaviour and explain where the model falls short.
Request access
Evidence status / early product preview
No borrowed certainty.
The interactive examples on this site are authored demonstrations. They show the intended experience—not a live model run, measured customer behaviour or evidence of predictive accuracy.
We are not publishing a headline accuracy score or validated customer uplift here. Any future performance claim should identify the task, sample, market, benchmark and evaluation method behind it.
Discuss an evidence-led pilot ↗Model hypothesisObserved response
The gap is the lesson.Compare by market and archetype.
Investigate the misses, not only the matches.
What useful proof looks like
Test the whole claim.
An overall average can hide important failures. The evaluation needs to match the commercial decision—and the buyers affected by it.
Look beneath the average.
Compare distributions, segment differences, ranking stability and failure cases. Report uncertainty and small-sample limitations instead of presenting false precision.
A decision improved.
Record whether the work changed the question, shortlist or next experiment. Attribute revenue or conversion gains only when a suitable real-world evaluation supports that claim.
Proposed pilot scorecard
Agree the bar first.
Define the evaluation with your team before results are known. That makes a pilot useful even when the hypothesis is wrong.
01
Decision
Which alternative are we comparing, and what will we do differently?
02
Benchmark
What independent customer evidence will we compare against?
03
Checks
Which regional and archetype differences must the model preserve?
04
Readout
What passed, what failed and what needs more evidence?
Data & diligence
Ask the hard questions.
Before sharing confidential research or personal data, agree the data scope, processing arrangements, retention, access controls and deletion requirements with the team.
No security certification or data-residency guarantee is asserted on this page. Request documentation relevant to your proposed pilot.
Read the privacy policy ↗What should we send initially?
A non-confidential description of the commercial decision, category, market and alternatives is enough to start. Do not email personal customer records or sensitive research before agreeing a secure transfer process and the relevant terms.
What is not appropriate for this product?
Do not use illustrative or synthetic outputs as a sole basis for high-stakes decisions about individuals, or as a substitute for representative research, legal advice or required product testing.
What should investors examine?
Request the product roadmap, evaluation design, source rights, technical differentiation and evidence of buyer demand. The public demo is a product narrative, not proof of a proprietary model advantage.
For partners & investors
Look under the hood.
Explore the product thesis, evidence requirements and the milestones that would demonstrate commercial value.