Over 2 Million Statements Analyzed…and We’re Speeding Up

I probably don’t talk about it publicly as often as I should, but I’m incredibly proud of our team.

Recently, we’ve surpassed some important milestones, and the titular milestone here (over 2MM statements analyzed) is worth recognizing.

As a number it represents progress — a growing number of users, time in market, and significant growth in our dataset (which feeds back to improve both depth and accuracy of our analysis).

But here’s another number I’m particularly proud of: 99% Accuracy. That’s a benchmark we’ve been able to beat, consistently, with our transcription capabilities. It puts us in rarified air when it comes to transcription quality, a major concern we hear often from prospective users who’ve been let down by past tools.

Call analytics is heating up, and for good reason; voice technology is finally getting to the point where it’s possible to do analytics at a large scale.

Increasingly more sales and customer success executives are becoming painfully aware of their lack of insight into call data. I was recently told by a sales leader,

“I’m sitting on a mountain of recordings and call data…we’re not doing anything with it, it’s just sitting there. It seems like such a waste.”

I couldn’t have said it better myself.

We have ambitious revenue growth goals, and hitting those is a testament to vital team-wide efforts. But we’re also deeply focused on building a product that is ROI-driven, where our users aren’t just companies that have a mandate and budget, but are companies motivated by data transparency; companies where our product offers the capacity to make impactful, long-term gains in call performance.

So here’s to milestones worth celebrating — even if it feels self-congratulatory, the sleepless nights, endless code refactoring, and countless sales meetings deserve their fair share of recognition.

Thanks team. None of this would be possible without you.