Nina Suri

Our target was 3 million.

We finished at 3 million and we were super excited.

We are gunning for 9 million this year.

So we work with government, we work with enterprise, and we work with academia to help promote objective hiring using AI and ML.

So making it objective, making it unbiased, and taking it to scale.

So those are the main key features.

So it's a SaaS platform.

It's a subscription.

Typically, the subscription can be anywhere from one year to five years, depending on the clients.

So $50,000 is typically the starting point, and it all depends on... Per year?

On the usage and the number of users and CVs that they process.

So anything from $50,000.

And we've also got clients who paid half a million, so...

That's correct.

So there's a limit of 10,000 resumes.

And as the volume gets higher, then they go to the next year and so on.

So we have a client which has the highest that we've got is half a million per client.

So yeah.

It wasn't just related to the resumes, it was also about the workflow.

It was a completely 100 percent automated workflow right from acquiring the application, taking them through automated testing, taking them through automated hybrid assessment,