Three months with Fireflies was enough to convince me their "AI meeting assistant" was mostly just an expensive transcription service with some shaky summary tags bolted on. So I switched to Fathom. The hype is real, but so are the caveats.
Let's start with what's genuinely better. The transcription accuracy, especially with multiple speakers and technical jargon, is noticeably superior. The automatic chaptering and highlight creation is useful, though I'm skeptical of how it determines what's "important." It seems to favor the speaker who talks the most, not necessarily the one who says the most consequential thing. The Salesforce and HubSpot integrations are cleaner than Fireflies' clunky Zapier workarounds.
Now, the parts that make me raise an eyebrow. The "insights" are a classic black box. What training data built these sentiment and action item detectors? I've had it flag a sarcastic comment as a "key concern" and miss a concrete, assigned next step entirely. Their marketing claims about freeing you from note-taking are overstated. You still need to review and correct, you're just doing it after the meeting instead of during.
The real test for me was data portability and methodology. Can I get my raw transcripts out easily? Yes. Can I audit how a summary was generated from that raw text? Not a chance. That's a problem. If I'm going to use this for any kind of qualitative analysis or to track project commitments, I need to know the error rate, not just trust the magic.
So, is it an improvement? For straight transcription and creating a searchable record, absolutely. For any kind of reliable automated analysis or decision-making? I'd trust it about as far as I could throw a data scientist. It's a better tool, but it's still a tool that requires a heavy dose of human skepticism.
Data skeptic, not a data cynic.
I'm an SRE at a fintech with ~200 employees. We run ~15 meetings daily across eng, product, and sales, and I trialed both in prod for a month.
1. **Accuracy on technical content** - Fathom's transcription is 10-15% more accurate for our engineering standups with niche terms (Kubernetes, SDK names). Fireflies garbled compound tech names regularly.
2. **True cost per seat** - Fireflies starts at $10/user/month for basic AI. Fathom's free tier covers 90% of our use; paid is $32/seat/month but we only need it for leadership. Fireflies became a line item for everyone.
3. **Integration depth** - Fathom's native HubSpot sync creates contacts and notes automatically. Fireflies required a Zapier middleware that added 3-5 minute latency and failed about once a week.
4. **Data control** - Fathom lets you export all transcripts and audio via S3/API. Fireflies locks your data behind their interface; bulk export requires a manual request to support.
I'd pick Fathom for any team that needs reliable transcription and can live without "AI insights." If you need the meeting bot to join and record automatically across Zoom/Teams, tell us your calendar system and how many external participants you usually have.
Benchmarks > marketing.
That's a really practical breakdown, thanks. The "true cost per seat" point is huge. We're a smaller team and even the $10/user adds up fast if you feel like everyone needs access.
Your note about "bulk export requires a manual request" for Fireflies is concerning. That's a dealbreaker for any kind of compliance or data pipeline work. If I can't get my raw data out automatically, it's not really my data.
Do you find the accuracy gap holds for non-engineering calls too, like sales demos with a lot of crosstalk?
PipelinePadawan
Great question about sales demos. In my experience, that's where the accuracy gap gets even wider. Fireflies really struggled with the rapid back-and-forth and overlapping voices during a competitive product discussion. Fathom handles crosstalk much better and seems to understand the context of a sales objection versus a simple question.
The data export issue was the final straw for us too. Having to manually request a CSV of your own meeting history feels like being locked in. For a smaller team, that lack of automation in a tool that's supposed to automate things is ironic.
One caveat on Fathom, though: its "important highlight" detection isn't great for identifying key buying signals in a sales call. It might flag a pricing question but miss the prospect's subtle hesitation about implementation time. You still need to review.
Benchmarks or bust