Short answer: the best Kapiche alternatives in 2026 are Koji (AI-moderated interviews that generate new evidence, €29/mo published), Enterpret (adaptive taxonomy for very high feedback volume), Chattermill (enterprise CX intelligence with impact analysis), Unwrap.ai ($24,000/year floor, never charged by seat), Thematic, Kraftful, Medallia and Qualtrics XM. Kapiche is unusual in this market for publishing a price at all — and that published price is the clearest illustration of what the whole category actually sells you.
Kapiche does something almost nobody else in feedback analytics does: it puts a number on the page. Bronze is $1,060/mo. Silver, Gold and Customs are "Talk to sales." In a category where Chattermill, Enterpret, Thematic and Medallia publish nothing at all, that transparency is worth respecting.
It is also worth reading closely, because Kapiche's price list is an unusually honest description of what you are buying.
Read the units, not the number
Here is what Kapiche's published tiers actually meter:
| Tier | Price | Rows per project | Fields per project | Creator seats | Explorer seats | Viewer seats |
|---|---|---|---|---|---|---|
| Bronze | $1,060/mo | 50,000 | 10 | 2 | 5 | Unlimited |
| Silver | Talk to sales | 100,000 | 20 | 4 | 10 | Unlimited |
| Gold | Talk to sales | 250,000 | 30 | 6 | 15 | Unlimited |
| Customs | Talk to sales | Custom | Custom | Custom | Custom | Unlimited |
All tiers include CX integration and AI enrichment for eNPS/eCSAT/Emotions and Reason for Contact; Silver adds one additional data source, Gold two.
Three units are being rationed at once, and the interesting thing is which one is unlimited. Viewer seats are unlimited at every tier. Reading is free. What costs money is rows — pieces of feedback that already exist — and fields, the number of attributes you may hold about each one.
That second cap deserves more attention than it usually gets. Ten fields per project is a limit on how many things you are allowed to know about each respondent. And unlike a seat cap, a field cap cannot be fixed retroactively. Add a seat and the new person can read everything. Upgrade from 10 fields to 20 and you do not learn anything new about the 50,000 rows you already collected, because the attribute you now have room for was never captured. The row was written once, by a customer who was not asked.
The cost of the next question
This is the number no vendor in the category prints, and it is the one that decides whether a purchase pays off.
Every feedback analytics platform — Kapiche, Chattermill, Enterpret, Thematic, Unwrap.ai — reads a corpus that already exists. That is genuinely useful right up to the moment it works. Your analysis surfaces a theme: complaints about the checkout flow are up sharply. You ask the obvious follow-up — which step, and what did they expect instead? — and the platform is finished, because nobody wrote that sentence. It does not exist in any row, at any tier, at any price.
In a live research tool, resolving that ambiguity costs one follow-up question. In a closed corpus it costs a separate research project on a separate tool with a separate budget, and by the time it lands the theme is two months old. That is the cost of the next question, and buying more rows does not reduce it.
Now the part that runs against intuition. You would expect a bigger corpus to help. It makes the gap worse. Going from 50,000 rows to 250,000 rows multiplies your confidence — tighter themes, cleaner trends, better-looking charts — without changing the number of questions you can actually settle, because all 250,000 rows are artifacts of the same fixed prompts. Certainty scales; resolvability does not. You are paying a 5x row premium for a more precisely measured version of the same blind spot.
And there is a sampling issue beneath the pricing one. Rows are not a designed sample. They are whoever was annoyed or delighted enough to write in. The customer who quietly downgraded, the buyer who evaluated you and chose a competitor, the user who never opened the feature: none of them generate rows. No row limit, however generous, reaches a person who never spoke. Our guide to active vs passive feedback covers the mechanism, and types of customer feedback maps which questions each source can honestly answer.
Where Kapiche runs out of road
- It cannot originate evidence. Analysis is bounded by rows that already exist.
- Only one tier is priced. Bronze is public; Silver, Gold and Customs require a sales conversation, so the moment you outgrow 50,000 rows you are back to "talk to sales."
- Field caps are permanent for collected data. Upgrading does not enrich rows already captured.
- Creator and Explorer seats are capped even though viewing is unlimited, so the people who can actually build analyses are rationed.
The 8 best Kapiche alternatives in 2026
1. Koji — best for teams that need answers, not just rows
Koji changes what you are buying. Instead of paying per row of text customers already wrote, Koji runs AI-moderated voice and text interviews with the specific people you need to hear from, then analyses the results thematically and automatically.
The critical mechanism is follow-up. When a customer says the checkout was "confusing," Koji's AI interviewer asks which step, what they expected, and what they did next — generating precisely the sentence no row contains, because it did not exist until somebody asked. There is no scheduling, no moderator, and no moderator bias steering the answer.
Koji supports six structured question types in one conversation — open_ended, scale, single_choice, multiple_choice, ranking and yes_no — so a single study returns quantified distributions and the reasoning behind them from the same respondent. That is the pairing a fields cap makes impossible: you are not limited to attributes you thought to capture in advance, because you can ask.
The pricing contrast is direct. Koji's Insights plan is €29/mo (29 credits) and Interviews is €79/mo (79 credits), with annual plans at €290 and €790 (two months free). Signup includes 10 free credits, no card. A text conversation costs 1 credit, voice 3, report refresh 5, overage a flat €1/credit, and packs run 50 for €50, 100 for €95, 250 for €225. Kapiche's published entry tier is $1,060/mo; Koji's annual Interviews plan is €790 for the year.
Most importantly, only conversations scoring 3+ on quality consume credits. Kapiche charges for a row whether or not that row says anything. Koji charges for evidence that cleared a quality bar. The unit of account is the difference between the two products.
- Best for: product, CX and insights teams that need to resolve why within days
- Watch for: Koji generates and analyses primary research; for mining a decade of historical tickets, pair it with a feedback analytics tool
2. Enterpret — best for very high feedback volume
Enterpret's Adaptive Taxonomy evolves categories as feedback changes, and its Customer Context Graph links feedback to accounts. Canva runs it across 200M+ users, Notion reports over 360% time saved, Apollo.io cut support tickets 40%, Descript saved 83% of analysis time and Feeld scaled feedback ops 10x. Its /pricing URL returns a 404, so there is no published price. See our Enterpret alternatives guide.
3. Chattermill — best for enterprise CX impact analysis
Chattermill's Lyra AI engine, Impact Analysis and Anomaly Detection connect feedback to business metrics. Uber has run an eight-year partnership with 400+ users, HelloFresh reports a 30% increase in average order values, Qonto 80+ hours saved and E.On Next a 144% increase in NPS. No published pricing. See our Chattermill alternatives guide.
4. Unwrap.ai — best for unlimited readers with volume pricing
Unwrap.ai publishes a floor of "Starting at $24,000 per year," offers a 30-day trial on your own data, and promises "you'll never be charged by seat." Packages scale with monthly feedback volume and integrations, with SSO and Okta, HIPAA and GDPR compliance, API access, PII removal and multilingual support.
Compared to Kapiche, Unwrap removes the Creator/Explorer seat caps but raises the floor considerably: $24,000/year against Kapiche's $12,720/year at Bronze.
5. Thematic — best for tracking themes over time
Thematic focuses on surfacing and tracking themes in open-ended text. Pricing is not published; its /pricing page returns a 404. See Koji vs Thematic.
6. Kraftful — best for small product teams
Kraftful synthesises app reviews and product feedback into themes and targets teams well below the enterprise CX platforms.
7. Medallia — best for enterprise experience management breadth
Medallia covers surveys, digital signals and contact-centre data as a full XM suite. No published pricing. See our Medallia alternatives guide.
8. Qualtrics XM — best for governance-heavy programmes
Qualtrics is the procurement-safe choice where survey governance and panel management are requirements, with cost and implementation effort to match. See our Qualtrics alternatives guide.
Kapiche alternatives compared
| Tool | Metered unit | Published entry price | Generates new evidence? |
|---|---|---|---|
| Koji | Quality-scored conversations | Yes, €29/mo | Yes, AI-moderated interviews |
| Kapiche | Rows and fields per project | Yes, $1,060/mo Bronze | No |
| Enterpret | Feedback volume | No, /pricing is a 404 | No |
| Chattermill | Feedback volume | No | No |
| Unwrap.ai | Monthly feedback volume | Yes, $24,000/yr floor | Limited, own surveys |
| Thematic | Feedback volume | No | No |
| Medallia | Enterprise contract | No | Yes, via surveys |
| Qualtrics XM | Responses and seats | No | Yes, via surveys |
Only two of eight publish an entry price, and both of those meter the corpus. Whatever the unit — rows, fields, monthly volume — you are buying capacity to store and re-read questions that were already asked.
How to choose
If you genuinely have too much text, Kapiche at Bronze is a reasonable, honestly-priced starting point, and 50,000 rows covers a lot of mid-market feedback. Begin with customer feedback analysis.
If you keep hitting the field cap, that is a signal, not a billing problem. Wanting more attributes per row means you want to know things nobody was asked. No upgrade retrofits that onto data already collected.
If your themes describe symptoms, count the last three insights your dashboard produced and ask whether any told you what to change. If they stopped at what, the missing capability is generation, not analysis.
The Maze Future of User Research 2026 report, a survey of nearly 500 professionals published on 11 March 2026, found that organisations calling research essential at all business levels rose from 8% to 22% in a single year, and demand for research grew from 55% to 66% — while 13% of teams report zero research support and only 46% receive training. Demand is rising faster than capacity, and buying more rows does not add capacity to answer new questions.
The same report found human judgement still essential for interpreting nuance and emotion (82%), ethical decision-making (80%) and framing research questions (76%). Framing is the step a purchased corpus forecloses: once rows are collected, the questions behind them are permanent. For category context, ESOMAR's Global Market Research 2025 put the insights industry above US$150 billion as of 2024, with research software at US$62 billion growing 11.5% while traditional research services at US$56 billion grew 4.8%.
Frequently asked questions
How much does Kapiche cost?
Kapiche publishes one tier: Bronze at $1,060/mo, which includes 50,000 rows per project, 10 fields per project, 2 Creator seats, 5 Explorer seats and unlimited Viewer seats. Silver (100,000 rows, 20 fields), Gold (250,000 rows, 30 fields) and Customs are all listed as "Talk to sales." That makes Kapiche one of only two platforms in this category — alongside Unwrap.ai — that publishes any entry price at all.
What is the best Kapiche alternative in 2026?
For teams whose real problem is unresolved ambiguity rather than unread text, Koji is the strongest alternative: it generates new interview evidence with AI follow-up questions and analyses it automatically, from €29/mo. For teams that need higher-volume classification, Enterpret and Chattermill are the closest like-for-like replacements, though neither publishes pricing.
What does a "row" mean in Kapiche's pricing, and why does it matter?
A row is a single piece of existing feedback — a ticket, review or survey verbatim. Metering rows means you pay for the volume of text customers already produced. It matters because the bill scales with how much you have already collected, not with how many new questions you can ask, and the answer to a question nobody was asked is not in any row at any tier.
Why can't I just upgrade to get more fields?
You can upgrade, but it will not enrich data you already hold. Fields are attributes captured at collection time, so raising the cap from 10 to 20 only affects future data where the extra attribute is actually recorded. Existing rows were written once by customers who were never asked for that information, which is why a field cap behaves differently from a seat cap.
Can Koji and Kapiche be used together?
Yes. Kapiche keeps reading your inbound corpus at scale while Koji answers the questions that corpus raises and reaches customers who never wrote in. Koji also exposes an MCP server so AI agents can query fresh interview evidence directly. See MCP overview and how to prioritize customer feedback.
How does Koji's pricing compare to Kapiche's Bronze tier?
Kapiche Bronze is $1,060/mo, or $12,720 per year, for 50,000 rows of existing feedback. Koji's Interviews plan is €79/mo or €790 per year for 79 credits per month, where a voice interview costs 3 credits and a text conversation 1, and only conversations scoring 3+ on quality are billed. The two are not measuring the same thing: one buys capacity to re-read the past, the other buys new conversations.
Rows are the past. Buy the next question instead.
Kapiche is honest about what it sells, and the units on its pricing page tell you exactly what feedback analytics is: capacity to store and re-read text your customers already wrote. That is half a research function.
Koji is the other half. AI-moderated voice and text interviews, follow-up questions asked in the moment, automatic thematic analysis, and one-click reports — with no scheduling, no moderating, no transcribing and no research expertise required. From question to insight in hours, not weeks.
Start free with 10 credits, no card required, and find out what your customers say when someone finally asks.
