Yes, I think David may can add up something. But one thing we are sure is that to embrace the change from the AI technology, we definitely will allocate some resources into the AI space and to do some. And we are targeting to do something interesting, something creative and something that can enable our financial partners to do their business better and serve their users better in the future. [Multiple Speakers]
David Ye: Yeah. Just one or two things to add, like Oscar said, the AI application or AI training big model is still in a very early stage, even [indiscernible] in Silicon Valley and China. I just have two points. Number one, we are not going to spend $5 million, $10 million to buy lots of CPUs or training the large models with a lot of our capability and no — we don’t have that financial expenses. We don’t want to join that double mean that’s rest assured. That’s a clear message to our institutional investors and all other investors, right? However, what’s our strength? Our strengths are we have the financial sector data. We have lot of feedback data arise. We are working with close to 1,000 financial institutions. I mean, heavily, we’ve been working with them for years.
So we have scenarios trying the credit cards [indiscernible] insurance in Chinese [indiscernible], right? That’s why we are able to work with a lot of the open-source large models overseas or domestically to train or enhance the tools, models. So that’s why we are in a more sales mode, not in the other mode. We want to like develop in the financial services vertical in terms of solving the problem for our financial partners as well as our customers, Chinese consumers. That means we can helping them to leveraging AI and even the traditional models and some of the data to enhance the overall user experience and the overall digital transformation of risk management, digital experience and such. So that’s what we positioned we are going to do. So finally, as Oscar said, we want to stress, it’s still early use again.
We will not be a clear winner in a quarter, in 2 quarters, or maybe longer, maybe — so you don’t need to be patient. We need to really working with the partners to enhance and improve the application, the tools and the user experience. Just like Jianpu.ai. Jianpu.ai was funded in 2017 — just right before our IPO and the Jianpu is our friends and our investors understand Jian in Chinese means simple, cool and inclusive. We had a vision in 2017 to use AI to make finance simple and inclusive. We continue our mission and vision to make AI simple and inclusive. So now we all know the problem for AI in other sectors, in financial sector is it’s too complicated, it’s too difficult for consumers that need for billing to use. If we focus with our mission and vision to make AI simple and inclusive in finance and other sectors, we will be successful in the medium and the long term.
So focus towards — focus on strength, focus what we can do, focus on our mission and vision. That’s the best offer we comprised to our shareholders and that’s the solutions we can provide to our customers and partners. Thank you.
Operator: Thank you. [Operator Instructions] All right. This does conclude the question-and-answer session. So I would like to turn the call to Liting Lu for any closing comments.
Liting Lu: Thank you once again for joining us today. If you have any further questions, please contact us at ir@rong360.com. Thank you for your attention, and we hope you have a wonderful day. Bye.
Operator: Thank you. The conference has now concluded. Thank you for attending today’s presentation. You may now disconnect your lines.
