How it works

Stop trusting one AI.

One question. Multiple intelligences. One answer.

Every AI model has blind spots. Keplar One asks the models your question needs, evaluates what they say, and gives you one answer you can inspect.

  1. 01

    You ask one question

    Type it the way you'd ask a colleague.

    “Should our company expand into Japan next year?”

    No need to pick models or paste the same prompt into five tabs.

  2. 02

    Keplar-One decides who to ask

    Not every model, every time. Only the intelligences this question needs, weighed by quality, reliability, latency, and cost.

    A quick factual lookup doesn't need the same line-up as a market-entry decision. Keplar-One can route across multiple model families and picks per question, based on what the question needs and what it costs.

  3. 03

    Each model answers on its own

    Different reasoning. Different evidence.

    The models work independently, so one answer doesn't anchor the others. You get separate points of view, not an echo.

  4. 04

    Keplar finds the disagreement

    5 agree. 1 doesn't. Keplar investigates why.

    Where the models agree, that's noted. Where they don't, Keplar flags it instead of silently picking one answer.

  5. 05

    Evaluation, not voting

    Keplar weighs the evidence and reasoning behind each response. A majority isn't treated as the truth, because consensus can be wrong.

    The minority can be right. If the one dissenting model has the better evidence, that counts for more than the headcount.

  6. 06

    One answer

    Synthesized from what held up, with its confidence shown.

    Every synthesized answer is attributed to Keplar-One. Below it, you can expand:

    Consensus
    the agreement percentage, and how many models agreed and disagreed
    Models consulted
    which models Keplar-One asked
    Sources
    the sources the models cite (Keplar hasn't checked them)
    Disagreements
    which model or models disagreed, and a summary of what they concluded differently
    Verification
    how Keplar checked its answer. A verifier model reviews the reasoning, flags contradictions between models, and notes how each was resolved. For simple questions answered by one model, it says no cross-model check was needed.
    Reasoning summary
    how the answer was put together

Plans

Free
$0
Keplar Plus
$45/month
Keplar Pro
$99/month
Keplar Business
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Common questions

Does Keplar ask every AI model every time?

No. Keplar-One picks only the models a question needs, weighed by quality, reliability, latency, and cost.

What happens when the models disagree?

Keplar flags the disagreement instead of silently picking one answer. It evaluates the reasoning and evidence behind each response, because the minority can be right.

Does agreement mean the answer is correct?

Not always. Consensus can be wrong. That's why Keplar weighs the evidence and reasoning behind each response, and shows its confidence rather than treating a majority as the truth.

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