Dimple, in terms of your workflows at the moment, where does that balance between the human talent and the technology sit? And how is that changing for you and how might it change into the future?

Yeah, so at IdMagics, we've...

Our integrity and our data integrity is fundamental to everything that we do.

So even as we've developed that product stack, we're not willing to compromise on the quality of the information that we're putting out to our client.

And fundamentally, if you're moving to a world where nature becomes an auditable space, you're thinking about it in terms of financial metrics, you need to know that that data would withstand an audit.

So when we think about implementation of AI, we have to implement it in a way that maintains the quality of the data, the metrics, the insights that we're providing to our client.

So on the one hand, there's a piece that Sid mentioned, which is how do you automate the manual stuff? And, you know, you want to automate that stuff away because that's just called business efficiency.

We appreciate that.

Like why do I wanna have a forensic data set of, of biodiversity and like how's it relevant to a company?

Yeah, of course.

So on the conservation side, the application is very obvious.

You know, we want to help them prove, um, biodiversity uplift from the work that they're doing.

We wanna encourage more finance into, uh, conservation and, and restoration.

Um, on the corporate side though, it's actually really helping them manage their risks.

So that can be anything from, um, companies that have got supply chain risks.

Like c- can you give an example of how the em- engineering environmental consultancies are starting to use your technology and how are they advising their clients with it?