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Reliable Simulated Tests with Audit Trails
Pressure-test concepts, claims, and messaging against what your consumers have actually said. Keplar’s simulated testing runs on your own indexed conversations, so every result traces back to a real verbatim.
What they raised most
Which claim best fits what Gen Z said?
Gen Z wants protein, but not a drink that makes them feel full.
What Gen Z said
“I want things that don’t fill me up quickly.”
Gen Z respondent · Interview 0142+ 2 more quotesSimulated testing puts the consumer interviews you’ve already had back to work. This creates the ability to test things that you never could before.
Grounded in real conversations.
Not invented by a model.
Keplar’s simulated testing is an extension of our powerful agentic analysis layer. It doesn’t ask a language model to imagine what your consumers might think. It reads what they actually said in Keplar Voice interviews, builds a framework around what matters most to them, and scores your new ideas against it.
The result is a secure, iterative sandbox for early-stage innovation, backed by evidence you can cite.
Traceable
Every score links to the verbatim behind it.
Iterative
Test, refine, and retest in minutes, not field periods.
Secure
Your data and your ideas stay inside your workspace.
From conversation data to ranked scorecard.
Built for the questions that come up between studies.
Concepts
Narrow a long list to the few worth real budget.
Claims
Find out which benefit claims feel credible and which invite skepticism.
Messaging
Compare positioning routes against your audience’s own language.
Creative territories
Gut-check directions before you brief the agency.
Product and portfolio ideas
Spot white space and flag cannibalization risk early.
Business questions
Get a directional read on “would this resonate?” without a new field period.
Most synthetic tools guess. Keplar cites.
Most synthetic research tools generate opinions from a language model with no grounding in real people. Keplar works the other way. It draws on your own indexed conversations, so every output is auditable, citable, and built on what real consumers actually said, not what an AI assumes they’d say.
| Typical synthetic panels | Keplar Simulated Testing | |
|---|---|---|
| Source of answers | Generic model training data | Your real consumer conversations |
| Traceability | None | Every score links to verbatim |
| Audience fidelity | Approximated personas | Your actual consumers |
| Can you defend it in the room? | Hard to | Yes, with quotes |
| Gets smarter over time | No | Yes, with every new study |
Frequently Asked Questions
No. Digital twins and synthetic panels ask a model to role-play a consumer. Keplar’s simulated testing analyzes real conversations you’ve already collected and scores new ideas against them. Every result is grounded in actual consumer language.
No, and it isn’t meant to. It’s a sandbox for early-stage work: narrowing options, sharpening stimulus, and getting directional reads fast. Big decisions still deserve real conversations, and Keplar Voice is built for exactly that.
Your own indexed conversation data from Keplar Voice studies.
Always. Every score comes with the supporting verbatim behind it.
Stop guessing. Start testing.
Turn the conversations you already have into instant, evidence-backed simulated testing.