Remesh and Koji are both AI-assisted research platforms that collect answers from real people, so the choice is about format, not about human versus synthetic. Remesh runs live or asynchronous group conversations with hundreds of customers or employees at once. Koji runs one-to-one interviews in which an AI moderator talks to each participant by voice, chat or phone. If you are actually looking for synthetic research, where simulated respondents answer before anyone is recruited, that is a different category: platforms such as Minds and Simile, covered at the end of this page.
Facts about Remesh and Koji come from their websites and pricing pages, checked on October 4, 2026.
| Dimension | Remesh | Koji | Verdict |
|---|
| Who answers | Recruited or invited customers and employees | Recruited or invited participants | Both collect real human answers |
| Format | Live or asynchronous group conversation with hundreds of participants at once | One-to-one AI-moderated interviews, each participant on their own | Remesh for group consensus; Koji for individual depth |
| Moderation | Human moderator supported by AI clustering and agreement voting | AI moderator that asks follow-up questions | Koji removes the moderator's calendar from the equation |
| Channels | Online live and async sessions, video | Voice, chat or phone, in 30+ languages | Koji is broader on channel and language |
| Question types | Open-ended chat, polls, agreement voting, media reactions | Open-ended plus structured types such as scale and single choice | Both mix qual with simple quant |
| Recruiting | OnDemand Recruit for vetted participants | Koji recruits for a per-respondent quote in credits, or you invite your own | Both can source participants |
| Pricing | Not published; request a demo | Free with 10 credits; Insights €29/month, Interviews €79/month, Enterprise from €500/month | Koji is self-serve; Remesh is sales-led |
| Best for | Consumer insight sessions, employee listening, healthcare research | Discovery, churn, win/loss, concept and usability interviews at scale | Choose by research format |
Remesh calls itself an AI-powered insights platform for customers and employees. A moderator runs a live or asynchronous online conversation with hundreds of participants at the same time, posting questions, polls and media such as images or video. As participants type open-ended answers, Remesh groups similar responses and asks the group to vote on which statements they agree with, so a single moderator can see what the whole room thinks within one session; Remesh advertises insights in 60 minutes. Its Remy agent helps design studies and analyse results, and OnDemand Recruit sources vetted participants. Remesh's published use cases are market research, employee listening, and healthcare and life sciences. It does not publish prices.
Koji is an AI-native customer interview platform. You describe what you want to learn and Koji drafts a research brief and interview guide. Each participant then talks one-to-one with an AI moderator by voice, chat or phone, in their own language; Koji supports more than 30 languages. The moderator asks follow-up questions to get at the reasons behind answers, and studies can combine open-ended questions with structured types such as scales and single choice. Koji analyses the interviews into themes and a report. You can invite your own participants or have Koji recruit them for a per-respondent quote in credits.
Koji publishes its prices: it starts free with 10 credits, Insights costs €29 a month for unlimited text studies, Interviews costs €79 a month and adds AI voice interviews, an MCP connector and an API, and Enterprise starts from €500 a month.
The real difference between the two is the research format.
Remesh is built around the group. Hundreds of people answer the same prompt at once, see a sample of each other's answers and vote on them. That is valuable when you want to know which ideas a population rallies around, for example in employee listening or in reactions to a campaign, and when you want quantified agreement next to verbatims.
Koji is built around the individual. Every participant gets a private, adaptive interview, and the AI moderator follows up on what that person said. That suits discovery, churn and win/loss interviews, and usability or concept feedback, where you want depth from each person and do not want group dynamics to shape the answers.
Both reduce the cost of qualitative research compared with traditional focus groups. Neither simulates respondents: if nobody has been recruited, neither tool can give you an answer.
Searches such as "Simile vs Remesh for synthetic research" mix two categories. Remesh and Koji collect real human answers. Synthetic research platforms simulate the respondents instead:
- Simile describes AI-driven simulations of how customers, employees or populations respond to change, built on models trained with data from large studies of real people. It announced a $200M Series B at a $2B valuation.
- Minds is the end-to-end platform for commercial synthetic research. You build simulated Audiences and run Studies on them, as described below.
Synthetic research is useful earlier in the cycle: to explore, test many variants and narrow options before you pay for recruited sessions. Remesh or Koji then supply evidence from real people for the options that survive.
Remesh provides a hybrid qualitative and quantitative environment designed for live groups: open-ended questions, real-time clustering, polls and agreement voting across the room. This is strong for town halls, brand repositioning feedback and live ad reactions where social consensus matters.
Koji combines adaptive one-to-one interviews with structured question types in the same study, then analyses the transcripts into themes. It is strong when you want the reasons behind each person's answer at a scale traditional interviewing cannot reach.
Minds positions qualitative and quantitative research as connected interaction forms on the same PRISM-powered foundation. Within a single Study, teams can run:
- Open-ended and free-text questions that probe motivations, concerns and unprompted associations.
- Single-choice, multiselect, standard and custom rating scales that quantify sentiment across simulated segments.
- Forced-choice methods such as MaxDiff, plus NPS, Van Westendorp and Kano, with deterministic calculations.
- Concept, packaging and prototype tests, including Figma inputs where enabled, alongside websites, app flows, video, copy decks and questionnaires.
A Remesh study still needs a discussion guide, recruited participants and a scheduled or asynchronous session; the session itself is fast, but recruiting takes time and every new iteration needs new participants. Koji removes the moderator's schedule because the AI interviews everyone in parallel, but you still wait for participants to respond and pay per qualified interview.
Synthetic platforms remove recruiting from the early rounds. On Minds, a marketing team can test ten headline variations across five simulated buyer segments, calculate MaxDiff scores and ask open-ended follow-ups in the same workspace, then rerun the Study after changing the copy. Minds offers Pay as you go and self-serve Pro plans on its pricing page.
In Remesh, moderators show images, video clips or copy in the live conversation and ask the group to react or vote. In Koji, the AI moderator can walk each participant through a concept or prototype and ask follow-up questions about what they understood and where they got stuck.
Minds treats stimulus testing as a first-class product and UX workflow on simulated Audiences:
- Interactive UI and prototype flows through Figma inputs where enabled.
- Live web pages, app journeys and landing page wireframes.
- Packaging designs, shelf graphics and visual brand assets.
- Video storyboards, animatics and scripts.
- Concept decks, positioning documents and structured questionnaires.
This lets teams find comprehension problems and weak variants before spending engineering time or recruiting usability participants.
Synthetic research outputs from platforms like Minds are directional and context-dependent. They model tendencies, language and decision heuristics; they are not statistically representative measurements and do not replace real people for every question. Minds lets you validate each Audience against real published surveys or your own survey files, with a score out of 100 per survey, so you can see where simulated answers track real data.
Choose Remesh or Koji when you need:
- Recruited-human evidence and verbatims from real customers or employees.
- Physical or sensory evaluation, such as taste, smell or in-person product handling (with a suitable in-person method).
- Regulated, clinical or legally required consumer evidence.
- Representative estimates, price elasticity measurement or political polling.
- Final validation of a high-stakes decision that stakeholders will audit.
Choose Minds and other synthetic platforms when you need:
- Fast, iterative testing of concepts, positioning and packaging before field research.
- Early UX reviews of Figma prototypes and user flows.
- Feature prioritization with MaxDiff across simulated segments.
- Qualitative exploration of hard-to-recruit segments without recruiting fees or scheduling delays.
Choose Remesh when you want a large group of real people in one conversation and need to see which ideas they agree on: employee listening, consumer insight sessions, reactions to campaigns or brand moves, and healthcare research. It is sold through a demo, so plan for a sales-led purchase.
Choose Koji when you want many real one-to-one interviews without scheduling moderators: discovery, churn, win/loss, product-market fit, concept and usability studies, across languages and channels. Its self-serve plans make it easy to start small.
Remesh and Koji make research with real people faster. Minds makes the step before that faster. It is the end-to-end platform for commercial synthetic research, built for B2C and B2B2C insights, marketing and product teams.
Minds PRISM, the proprietary reasoning, inference and source-modeling engine beneath every Mind, combines public-source context with the research inputs you permit, such as research notes, market reports and brand guidelines. It is designed to maximize grounding, consistency and accuracy within scoped directional synthetic research.
Above PRISM, Minds supports the research lifecycle:
- Audience creation: build reusable Audiences from descriptions, uploaded customer profiles, URLs or data files where enabled.
- Qualitative exploration: free-text interviews and multi-turn conversations to uncover motivations and objections.
- Quantitative methods: single choice, multiselect, scales and executable methods such as MaxDiff with deterministic calculations.
- Stimulus testing: Figma flows where enabled, web assets, packaging images, video and concept decks.
- Analysis: compare segments side by side and export the results.
- Do you need real people or an early read? For real human evidence, choose Remesh or Koji. For exploration and narrowing options before recruiting, use a synthetic platform such as Minds.
- Group or individual? If you need group consensus and agreement voting, choose Remesh. If you need private one-to-one depth at scale, choose Koji.
- How do you want to buy? Koji publishes self-serve prices from €29 a month; Remesh is sold through a demo; Minds offers Pay as you go and self-serve subscription plans.
Remesh and Koji are both strong ways to hear from real people: Remesh for large live group conversations, Koji for AI-moderated one-to-one interviews at a low published price. Neither is a synthetic research tool. If you want to test ideas before recruiting anyone, start with simulated Audiences in Minds, check each Audience's validation score, and then confirm the strongest options with Remesh or Koji.
Explore directional Audience simulations and plans on the Minds pricing page, or compare Minds and Remesh and Minds and Koji directly.
