Corey Knowles

Once you've done that, I know you guys are putting into place some agentic workflows and such.

What kinds of applications could a company do once they have that data stored together and accessible?

And a lot of them skip it.

A lot of them are not very diligent.

Where you still get your notes and gain the information from it still.

Something I'm curious about as well, with permissions, for example, knowing that sometimes like your leadership may have a meeting that they would rather the rest of the people not be privy to, is there a way, some kind of a hierarchy in place that

You cut back on the silos, and at the same time, you probably increase alignment across a company to ensure that everyone is zeroed in on the same goals and tasks ahead of them.

Yes.

Excellent.

You know, with your background in engineering at Stanford and having built the blue dot at Google Maps, I feel like you have a good understanding of like large scale systems.

What are the current technical bottlenecks in voice AI that maybe people don't realize exist yet?

Or do you see anything big coming around the corner?

That's fair.

That's a good call.

One thing that seems like it would be particularly challenging to me with voice in a meeting setting is that you might have someone from the Northeast, you might have someone from the South, someone in the Pacific Northwest, maybe a couple people who English is their second language.

You're dealing with a lot of dialects sometimes in one call.

And that seems like a thing that could be really difficult for an AI to keep moving.

Or tone, right?

Oh, wow.

I can even see a future where it could proactively recognize spots where, say, marketing could help the sales team on a thing and maybe proactively make a connection between different departments that don't normally visit together or work.