A Fireflies alternative for deal teams
On Junior's benchmark using public earnings-call audio, Fireflies records a 71.5% entity error rate on company and product names and a 37.5% key point error rate, against Junior's 6.1% and 8.5% on the same audio.
The benchmark
Error rates below, lower is better, all measured on public earnings-call audio.
| Approach | Word error rate | Numbers | Entities | Key points |
|---|---|---|---|---|
| Junior | 6.6% | 1.7% | 6.1% | 8.5% |
| Fireflies | 9.7% | 4.4% | 71.5% | 37.5% |
See the full benchmark against Otter.ai, Fireflies and Granola
Common questions
How accurate is Fireflies for due diligence calls?
On the same benchmark, Fireflies records a 71.5% entity error rate and a 37.5% key point error rate, against Junior's 6.1% and 8.5%.
Which AI note taker is most accurate for due diligence?
On Junior's benchmark using public earnings-call audio, Junior records the lowest error rate in all four categories measured against Otter.ai, Fireflies and Granola; on entities, Junior records 6.1% against Otter.ai's 58.2%, Fireflies' 71.5% and Granola's 75.3%.
What is the best Otter.ai, Fireflies or Granola alternative for private equity and consulting teams?
Junior is a voice intelligence platform built for private equity, investment banking and strategy consulting; it runs a named-entity recognition engine tuned for deals, companies, products and people, connects directly to the major expert networks, and signs zero data retention agreements with every model provider so customer data never trains an AI model.
Why is word error rate a poor measure of transcription accuracy?
Word error rate weights every word equally, and in a one-hour call of roughly 9,000 words, the company names, product lines and figures an analyst will actually quote account for around 200 of them; a tool can miss most of those and the word error rate barely moves.
What is an entity error rate?
An entity error rate measures how often a transcript gets proper nouns wrong, meaning company names, product lines and people. For deal teams it matters more than word error rate, because those are the terms that end up in a deliverable and the terms a knowledge base gets searched by.
Does Junior train AI models on customer calls?
No, Junior has signed zero data retention agreements with every underlying model provider, so customer call content is never stored, trained on or reused; that applies to every customer rather than to one plan tier.
Can Junior transcribe expert network calls?
Yes, Junior builds direct pipelines from nearly all the leading expert networks so audio arrives automatically, and there are five ingestion routes in total: a branded recording bot, expert network integrations, an in-app recorder, file upload and manual notes.
Is Junior SOC 2 certified?
Yes, Junior is SOC 2 Type II certified and holds all data on its own infrastructure rather than on user laptops or third-party servers.
Run it against your own calls
Send us a call from your own pipeline and we will set the comparison up with you.
Book a demoBenchmark figures from Junior's internal benchmark on public earnings-call audio. Product and compliance detail from Junior's General Transcription one-pager. Competitor names are referred to for identification only and remain the trademarks of their respective owners.
Junior · 3 November 2026