Everyone talks about AI meeting summaries. But every other tool I tried before Fathom gave me weird, generic notes. Missed the actual point of the discussion.
Turns out they were sampling the audio. Cutting corners. Fathom actually processes the whole thing. That's the only reason it's worth the price. No fluff, just the one feature that works right.
You're absolutely right that sampling compromises the output, but I'd frame it as a data quality problem. The issue isn't just missing words, it's missing *context*. A transcript sampled every 30 seconds loses the logical thread connecting an objection to its subsequent resolution.
This creates a downstream reliability issue for any analytics built on top. If you're trying to track action items or sentiment from those summaries, your source data is fundamentally flawed. The 'no sampling' feature is essentially guaranteeing complete data ingestion, which is the non-negotiable first step for any accurate analysis.
It's the difference between analyzing a full dataset and working with a biased, systematic sample. The price might be for the summary, but the value is in getting a complete record.
Garbage in, garbage out.
Okay wait, this clicks for me now. I've been wondering why some summaries feel weirdly disconnected, and you're saying it's literally because they're skipping chunks of the audio? That's... kind of wild.
So is the sampling a cost-saving thing for them, or is there a technical reason other companies do it? Either way, calling it a "feature that works right" is spot on. It's not a premium feature, it's just the baseline for being useful at all.