What platforms does Keplar support?

Keplar is available on Web App.

What are the limitations of Keplar?

Pricing is not published on the homepage, so cost has to be established through a sales conversation before any comparison. The cost and speed claims (10x conversations, 30 percent of cost) come from Keplar's own marketing and are not backed by published methodology on the site. No integrations are documented, which matters if insights must flow into existing research or analytics stacks.

Keplar

Name: Keplar
Author: Keplar

AI voice moderator that runs natural customer interviews at scale

Intermediate

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Screenshot of Keplar, AI voice moderator that runs natural customer interviews at scale

What is Keplar?

Keplar is a pattern recognition tool. Keplar runs AI-moderated voice interviews with real consumers, turning a research brief into natural conversations, visual stimulus tests and synthesized reports in over 50 languages. Built for insights, brand and user research teams that need qualitative depth at survey scale.

Keplar is an AI-moderated research platform built around voice conversations with real people. Instead of fielding a survey and hoping the questions capture what matters, teams hand Keplar a business question or a brief and get back a set of natural spoken interviews that dig into the reasoning behind consumer behavior. The AI interviewer listens, follows up on what a participant says, and probes for the story rather than marching through a fixed script. The product covers the full research loop rather than just the interview itself. An embedded research agent converts a brief into a moderation guide with learning goals and study templates, then the moderator persona and audience are configured, the conversations run, and the resulting data is synthesized into shareable reports. AI agents support each stage, from suggesting which questions to ask to iterative analysis, while people stay in the loop to steer decisions. Global and multimodal work is handled directly. Conversations run in more than 50 languages, including Spanish, French, Chinese, Portuguese and Italian, with attention to local slang so recruitment can be worldwide while the dialogue stays local. Keplar can also present visual stimuli mid-interview, which opens up concept testing, message testing and usability research rather than limiting the platform to attitude questions. The platform targets insights teams, brand managers, user research groups and AI labs. Those buyers typically weigh it against traditional agencies and DIY survey tools: Keplar claims 10x the conversation volume at roughly 30 percent of the cost, with studies launched 3-5x more often and decisions reached 2-3x faster. A simulated testing mode adds auditable synthetic respondents for teams that want to pre-test before recruiting real participants.

How do you use Keplar?

1Watch a sample AI interview
Open the demo interview on the homepage to hear how the AI moderator asks, listens and follows up. Use it to judge whether the conversational style matches the depth your studies need.
2Explore simulated testing
Review the simulated testing page to see how synthetic respondents work and how results are kept auditable before you commit to a live study.
3Book a demo with the team
Request a demo from the homepage so the team can walk through your research brief and show how a study would be structured for your category.
4Set up your study with the research agent
Inside the product, bring a brief or business question and work with the embedded research agent to turn it into a moderation guide with learning goals and a study template.
5Customize the moderator and audience
Choose the moderator style, then define who you want to speak with, including language and market, so recruitment and dialogue match your target segment.
6Review synthesized data and share reports
Once conversations finish, work through the synthesized analysis, refine it with the AI agents, and export custom reports for stakeholders.

Pros and cons

Pros

Voice moderation follows up on participant answers instead of reading a fixed script, which surfaces the reasoning behind decisionsAI
End-to-end workflow covers guide creation, moderator setup, audience selection, analysis and reporting in one placeAI
Conversations run in more than 50 languages with local slang, so global recruitment does not require local moderatorsAI
Visual stimuli can be shown mid-interview, enabling concept, message and usability testingAI
Simulated testing mode offers an auditable way to pre-test studies before spending on real participantsAI

Cons

Pricing is not published on the homepage, so cost has to be established through a sales conversation before any comparisonAI
The cost and speed claims (10x conversations, 30 percent of cost) come from Keplar's own marketing and are not backed by published methodology on the siteAI
No integrations are documented, which matters if insights must flow into existing research or analytics stacksAI
Simulated respondent data carries known validity limits, and the site gives little detail on how synthetic results are auditedAI
The platform is oriented to enterprise insights teams, so solo researchers or small startups may find the sales-led model heavyAI

How much does Keplar cost?

Free trial

A free simulated test with Gen Z respondents is promoted on the homepage, positioned as a way to try the platform before a full study.

Learn more

Support

Support runs through a contact form and demo booking on the homepage; no help centre or documentation is linked.

Features

AI voice moderator that conducts natural interviews with real participants, an embedded research agent that converts briefs into moderation guides, AI agents for question design and iterative analysis, support for visual stimuli such as concept and message testing, conversations in over 50 languages with local slang, and auditable simulated testing.

Learn more

Frequently asked questions about Keplar

Does Keplar offer a free trial?
A free simulated test with Gen Z respondents is promoted on the homepage, positioned as a way to try the platform before a full study.
How do you use Keplar?
The walkthrough on this page covers 6 steps: 1. Watch a sample AI interview 2. Explore simulated testing 3. Book a demo with the team 4. Set up your study with the research agent 5. Customize the moderator and audience 6. Review synthesized data and share reports.
What platforms does Keplar support?
Keplar is available on Web App.
What are the limitations of Keplar?
Pricing is not published on the homepage, so cost has to be established through a sales conversation before any comparison. The cost and speed claims (10x conversations, 30 percent of cost) come from Keplar's own marketing and are not backed by published methodology on the site. No integrations are documented, which matters if insights must flow into existing research or analytics stacks.