Koji vs Fathom: AI Meeting Notetaker vs AI Research Interviewer (2026)

Short answer: Fathom and Koji solve different problems. Fathom is an AI meeting notetaker - it joins the calls you are already in and records, transcribes, and summarizes them. Koji is an AI research interviewer - it conducts the interviews for you, in voice or text, with adaptive follow-ups, then aggregates every conversation into a research report. If your goal is tidy notes from meetings you already run, Fathom is great. If your goal is to run customer research at scale without scheduling a single call, that is Koji. Plenty of teams use both.

At a Glance

What Fathom Does Well

Fathom is a polished, well-loved AI notetaker. It joins your video calls, produces a clean transcript, highlights action items, and generates a readable summary in seconds. For sales teams logging CRM notes, for managers who do not want to scribble during standups, and for anyone who wants to be present in a conversation instead of typing, it removes a real chore. Credit where due: passive meeting capture is a genuinely useful category, and Fathom is one of the better tools in it.

Where a Notetaker Falls Short for Research

The limitation is structural, not a knock on the product: a notetaker only captures conversations you are already having. For customer research that creates three gaps:

1. You still have to run every call. Recruiting, scheduling, and personally hosting 20 interviews is the bottleneck - and a notetaker does not touch it.
2. No structured questions. A summary of free-flowing talk cannot give you a chartable NPS distribution or a ranked feature list, because nobody asked the questions in a structured way.
3. No cross-conversation synthesis. You get 20 separate meeting summaries, then face the manual job of reading all of them and coding the themes yourself. The analysis is still on you.

That is the difference between capturing a conversation and conducting research.

How Koji Is Different

Koji is built for the research job end to end:

• The AI conducts the interview. Participants open a link and talk to Koji's AI moderator in voice or text. No host, no calendar, available 24/7. See How AI Interviewers Work.
• It probes like a skilled researcher. Koji asks adaptive follow-up questions in real time - "Tell me more about that," "Why was that frustrating?" - so you get depth, not just surface answers.
• Structured questions built in. Mix qualitative open-ended questions with scale, single_choice, multiple_choice, ranking, and yes_no questions in one conversation. See the Structured Questions Guide.
• Automatic cross-conversation analysis. Koji codes open answers into themes, aggregates structured answers into distribution charts, and synthesizes everything across all participants into one living report - no manual coding.
• Methodology under the hood. Studies run on real frameworks (The Mom Test, Jobs to be Done, Customer Discovery), so the AI asks the right questions, not generic ones.

This is why teams describe the move to Koji as a 10x change: the recruiting-to-insight pipeline that used to take weeks of scheduling and synthesis runs while you sleep.

Pricing Context

Fathom monetizes as a per-seat notetaker. Koji uses a usage-based credit model aligned to research output: a text interview costs 1 credit, a voice interview costs 3, and a report refresh costs 5. Plans start at Insights - 29 euro/month (29 credits) and Interviews - 79 euro/month (79 credits), with an Enterprise tier for larger programs. Crucially, Koji's quality gate means only conversations that score 3 or higher consume credits, so you pay for usable research, not abandoned sessions. New accounts get 10 free credits to start.

When to Use Each (or Both)

• Use Fathom for the live calls you already attend - sales demos, customer success check-ins, internal meetings - where you want effortless notes.
• Use Koji when you need to run research - talk to 50 churned users, test a concept with 100 prospects, or stand up an always-on voice-of-customer program - without staffing every conversation.
• Use both to cover the full spectrum: Fathom for the meetings you are in, Koji for the research you could never schedule.

The Bottom Line

Fathom makes the meetings you already have easier to remember. Koji makes the research you could never staff actually happen - conducting interviews, asking structured questions, and synthesizing findings automatically. If customer understanding is a core input to your roadmap, a notetaker is a helpful accessory; an AI research interviewer is the engine.

Three Scenarios to Make the Difference Concrete

Scenario 1: A churned-customer study. You want to understand why 40 customers cancelled last quarter. With a notetaker you would have to schedule and personally host 40 calls - realistically you would do five and call it a trend. With Koji you send one link, the AI interviews all 40 on their own time with consistent questions and adaptive probing, and the report tells you the top three churn drivers with supporting quotes. The notetaker was never built for this; it has no one to record because there is no meeting.

Scenario 2: Your weekly sales calls. Here Fathom shines. You are already on the calls, you want clean notes and action items in your CRM, and you do not want a structured research instrument. Use Fathom and move on.

Scenario 3: Concept testing a new feature. You need 100 prospects to react to three concepts and rank them. That is structured research - choice and ranking questions, aggregated charts, theme analysis. A notetaker cannot ask a ranking question or aggregate across 100 people. Koji does both natively.

Migrating From Notetaker-Only to Real Research

Many teams start with a notetaker, realize their "customer research" is really a pile of unstructured meeting summaries, and add a dedicated research layer. The migration is additive, not a rip-and-replace: keep your notetaker for live meetings, and stand up Koji for the research you have been postponing because no one had time to run it. A practical first step is to take the recurring research question you keep meaning to answer - "why do trials not convert?" - and turn it into a Koji study this week. With 10 free credits on signup, you can field it before you would have finished scheduling the first manual interview.

The mental model that helps: a notetaker is a recording device, while an AI interviewer is a researcher. You want both in the building, but only one of them actually conducts the study.

Related Resources

• How AI Interviewers Work - what happens inside a Koji interview
• Structured Questions in AI Interviews - the six question types Koji supports
• AI Transcription for Research Interviews - transcription built for research, not just notes
• Conversation Intelligence for Customer Research - turning talk into insight
• The Definitive Guide to AI Voice Interviews - how voice mode works
• Customer Discovery Interviews at Scale - talk to 100 customers in a week