Home page / 100 startup stories from Central Eurasia Alibek Dostiyarov and Ersultan Sapar studied together in the USA and then built careers in different fields. In 2024, Kazakhstanis launched Perceptis, a service for creating business presentations using artificial intelligence. The platform currently has about 800 paying corporate clients and 15 thousand users. Especially for the joint project of Digital Business and Astana Hub “100 startup stories of Central Eurasia,” Alibek Dostiyarov told how Perceptis grew from a tool for American consulting firms into a global product, why most of the team is hired in Kazakhstan, and how the startup competes with the largest AI services. Read this text in Kazakh Read this text in English – Alibek, how did the idea of Perceptis come about? – Ersultan and I studied together at the University of California at Berkeley. Then our paths diverged a little. Ersultan worked in artificial intelligence at Apple, and I built a career in consulting at McKinsey. At some point, the idea of a product matured that could be used to make presentations and website layouts. In 2 weeks, we assembled the first prototype and applied to Y Combinator. YC doesn't
got in, but only made it to the final interview with Harry Tan, CEO of the accelerator. Then we applied again, and we were called again for the final interview. But by that time, they had already accepted an invitation to the AI Accelerator from The House Fund, an acceleration program for AI startups. All this made it clear that we are moving in the right direction. However, they soon saw that the product was too broad. Therefore, we focused on a specific task - to automate the preparation of commercial proposals for consulting firms. The consultant set the parameters of the document, and Perceptis, using AI, assembled a ready-made presentation for a potential client. How were the first sales? – I found the managing partner of a consulting company on LinkedIn, added him as a friend and wrote: “Hi, my name is Alibek. I worked at McKinsey. I participated in the sales of projects worth $40 million. It would be great to have a phone call - I’d like to tell you what we’re working on now.” By the time I called, many had already looked at my profile and asked: “What is Perceptis?” And then he talked about the product and convinced him to buy a subscription. Our first client paid about $3 thousand in 2 months, and thanks to the new projects he won, he received a return of 32 times
and more investments. Perceptis prepared proposals so quickly that the consultant deliberately did not send them right away. He told us: “Guys, I receive presentations from you, and then I keep them with me for a day. So that customers don’t think that I’m sending some unverified nonsense.” Back then, ChatGPT, for example, could not create such documents at all, and all this was perceived as magic. – But then many models learned to create presentations. Has Perceptis evolved too? – Yes, and this happened at the request of users. They quickly got used to the good things and wanted expanded functions. We received feedback: “We are selling projects at such a speed that now we need a solution that will help implement them.” So we moved on to presentations on any topic. But Perceptis for some time still remained a B2B product: clients were connected manually, their account was set up, and they were helped to download data. And in January 2026, the platform was opened to everyone - now anyone can register, pay the tariff and start using the service. One of the main reasons was that it was interesting to see how useful we would be to people outside of the industries that we had initially identified for ourselves. In the end it came
a large number of corporate users from engineering, technology, financial and pharmaceutical companies, as well as from scientific organizations. Today Perceptis is a powerful engine for creating complex presentations on any topic. – If a person opens Perceptis for the first time, what does the path from prompt to finished PowerPoint look like? – There is one window: you send a prompt and the result appears. If you need a presentation on a general topic, you don't need to download anything - Perceptis uses open sources. And if you want to create a document based on internal company data, you can add existing reports, financial models or other Excel files. The system first thinks for about 3 minutes and offers you a pagination. At this stage, you can say what you agree with and what needs to be changed. Then click the “Confirm” button - and in about 5 minutes you will receive the final presentation in PowerPoint format. – How much does a subscription cost? – There is a free plan for 10 slides per month. Paid ones start at $29 per month. Pro costs $129, and Business costs $390. For large companies there is Enterprise with an individual price. – How did your revenue change after opening the platform to everyone? - I'm sorry
Well, I can’t give absolute numbers – we share them only with our investors. But since they opened access to anyone, they have seen rapid growth in revenue. In the first 2 months it doubled, and in the next 3 months it doubled. Today we have 15 thousand registered active accounts on the platform and about 800 paying companies. – What helped attract users? - Partly advertising. But unusual viral stories also happened. At some point we noticed that a large number of orders were coming from Japan. And we couldn’t explain it at all: they didn’t run advertising there. We don’t see specific user data, but we can look at the topics of requests. So we realized that with the help of Perceptis they prepare corporate documents for senior management. Then we found several Japanese influencers in X who organically discovered our tool and talked about it. – How was growth financed – at the start and later? – At first we used our own funds. For example, our first hired engineer was a student from Nazarbayev University - a very talented guy, experienced beyond his years. For some time they paid him out of their own pocket. But they understood that we were happy
This is a very complex product and it will be almost impossible to bootstrap it completely. Therefore, we were looking for funding from day one. In total, Perceptis has raised $4 million in history. The first investment of $500 thousand was raised in 2024. In the spring, The House Fund and Silkroad Innovation Hub invested in us. By August, we already understood that we would soon go for a full-fledged seed round, and before that we decided to attract several more friendly investors. Among them were the MOST fund and several business angels. The next stage was a seed round of $3.1 million. The lead investor was Streamlined Ventures. We recently closed a small interim round, which was supported by the Kazakh fund Astana Hub Ventures and the business angel club Silkroad Angels. – Why was an intermediate round needed before Series A? – By the end of the year we are planning a full-fledged Series A at a higher valuation. Before him, they wanted to collaborate with funds and angels friendly to us - so that they could come in a little earlier. As for Astana Hub Ventures, in our opinion, it is now one of the coolest venture players. Their activity is surprising. The fund is negotiating with very promising American startups. We're talking about guys that few people know about yet.
, while they are already on the radar of investors from Kazakhstan. – It turns out that although you are building a business in the USA, Perceptis has a fairly close connection with Kazakhstan. What is it expressed in besides investment? – First of all, in the team. For a long time there were three of us. Ersultan itself is like an army of programmers, so many developers were not required at the start. But now there are already 15 of us, and 12 of them are in Kazakhstan. We take advantage of the wonderful opportunity to hire specialists in our homeland, where there is a very strong workforce. In Silicon Valley, it's hard to attract local developers right now: Meta, OpenAI and Anthropic offer compensation that is difficult for a startup to compete with. After we raise Series A, we want to approximately double the team. We will look for personnel in Kazakhstan. Moreover, we plan to register a company in the Kazakh jurisdiction and apply for participation in the Astana Hub. – Perceptis is not the only service for creating presentations. How do you win a competitive race? – We win because we are the best. And this is not an unfounded statement. From May to August of this year, several third-party evaluations of presentation tools were released. For example, in August Perceptis was released
in first place in the corporate category of the Design Arena crowdsourcing benchmark. We found ourselves above Claude Opus, Gamma, Manus and other instruments. Another independent assessment is Caliper Lab. There we were directly compared with Claude for PowerPoint on the same tasks. Perceptis received 86 points versus 83 for Claude. – In your opinion, how did you achieve this result? – We built a hybrid engine, focused on quality: it combines different AI models and our own algorithms, depending on the goal. In the background we use the same neural networks that are available to everyone: Claude, Gemini, GPT and others. But when you make a request to our pipeline, it is broken down into many parts by task. Some of them are solved by conventional algorithms with predetermined rules – where artificial intelligence is not needed at all. Anything related to business reasoning is sent to Claude, for example. Where high-quality images are needed is in GPT and so on. – Claude, ChatGPT and other large AI services are already able to generate presentations as part of a regular subscription. Why then pay separately for Perceptis? – Our answer to clients who are asking the same question: look at the benchmarks and ask yourself, well
Do you want better presentations or are you satisfied with what Claude does? If the latter, then you are probably simply not our client. But if you need the most complex and high-quality presentation, then Perceptis makes sense. – What are the startup’s plans? “For now, we just want to grow further.” We are not interested in exits or new companies - we see that this product is doing well, and we want to continue to develop it. The next step is to make presentations interactive, that is, turn them into documents that can “talk.” You can ask them a question. For example, click on the chart and ask: “How is this sales column broken down by geography?” Or: “What happens if we change this assumption to another?” – and get an answer immediately. Now, according to independent estimates, we are the leader in quality. And we will continue to defend this advantage, because our competitors are not standing still either. Alibek Dostiyarov pen Ersultan Sapar AҚSH-ta birge bilim algan. Keyin arturli salada enbek zholyn zhalgastyrgan. 2024 zhyly zhigitter zhasandy intellect komegimen business presentation zhasauga arnalgan Perceptis service in iske kosta. Kasir platform 800-year corporate clientele 15 years old bar. Digital B
for the joint project "100 Startup History of Central Eurasia" by usiness and Astana Hub, Alibek Dostiyarov told how Perceptis turned from a tool for American consulting companies into a global product, why the majority of the team is formed in Kazakhstan, and how the startup competes with the largest AI services. - Alibek, how did the idea of Perceptis come about? - Ersultan and I studied together at the Berkeley campus of the University of California. Later, we parted ways for a while. Ersultan worked in the field of artificial intelligence at Apple, and I built a career in consulting, McKinsey. At one point, the idea came to invent a product that would allow you to create presentation and site layouts. Within two weeks, we created the first prototype and applied to Y Combinator. We didn't make it to YC, but we did make it to the final interview with the accelerator's CEO, Gary Tan. Later, we applied again and were invited to the final interview. However, at that time we had already accepted The House Fund's invitation to the AI Accelerator program. This is an acceleration program for startups in the field of artificial intelligence. See that all this is going in the right direction
showed. However, we soon realized that the product range was too broad. Therefore, we gave priority to one specific task - automation of the process of preparing a commercial proposal for consulting companies. The consultant enters the parameters of the document, and Perceptis creates a ready-made presentation for the potential client with the help of artificial intelligence. - How did the first sale go? - Find a managing partner of a consulting company on LinkedIn, add him as a friend and say, "Hi, my name is Alibek. I worked at McKinsey. I participated in the sale of projects worth $40 million. I would like to tell you what we are doing now, it would be good if we could talk. Before the call, most of them had already looked at my profile and asked, "What is Perceptis?" he used to ask. Then I would talk about the product and convince them to buy a subscription. Our first client paid us about $3k in two months. Won new projects and received a return of 32 times more than the investment. Perceptis prepares commercial proposals so quickly that the consultant does not send them immediately. He told us: "Guys, after receiving the presentation from you, I will keep it with me for a day. Otherwise, the customers just me
"He might think that he is sending something that is not correct," he said. At that time, for example, ChatGPT could not create such documents at all. So it all seemed like magic. - Later, many models learned how to make a presentation. Has Perceptis changed too? - Yes, we changed at the request of users. They quickly got used to a good product and wanted more features. We often get comments like: "We've been selling projects at such a speed, now we need a solution to help us implement them." Thus, we moved on to make a presentation on any topic. But for a while, Perceptis remained a B2B product: we manually added clients to the system, set up their personal accounts, and helped them upload data. And in January 2026, we opened the platform to everyone. Now anyone can register, pay for the tariff and use the service. One of the main reasons for this is that it was interesting to see how we could be useful to people outside of our original target areas. As a result, many corporate users came from engineering, technology, financial and pharmaceutical companies, as well as scientific organizations. Now Perceptis is designed to create complex presentations on any topic
powerful tool. – How does a first-time user of Perceptis go from entering a prompt to a finished PowerPoint? - There is only one window: you send a prompt, the result will appear. If you need a presentation on a general topic, you don't need to download anything. Perceptis uses open sources. And if you want to create a document based on the company's internal data, you can add existing reports, financial models or other Excel files. First, the system thinks for about three minutes and suggests a slide-by-slide structure of the presentation. At this stage, you can say what you agree with and what needs to be changed. Then click the "Confirm" button. After about five minutes, you will receive a ready-made PowerPoint presentation. – There is a free plan that allows you to create 10 slides per month. Paid rates start at $29 per month. Pro costs $129 and Business costs $390. Larger companies are offered the individually priced Enterprise plan. - How did my income change after opening the platform to everyone? - Unfortunately, I cannot say the exact amount. We only share this information with our investors. But after opening the platform to anyone, we saw a rapid increase in revenue. In the first two months
seven doubled, and doubled again in the next three months. Currently, the platform has 15,000 registered active accounts and about 800 paying companies. - What helped attract users? - I can say that it is because of advertising. But there were also interesting events that spread unexpectedly. At one point, we noticed a lot of orders coming from Japan. We couldn't explain it at all at first because we didn't advertise there. We don't see the exact data of the users, but we can see what topics they send requests for. Thus, we understood that corporate documents for company management are being developed through Perceptis. Later, we discovered several Japanese influencers who had accidentally discovered Perceptis on X's social network and wrote about it. - How did you finance the start-up at the initial stage and later? - At first we invested our own money. For example, our first hired engineer was a student of Nazarbayev University. He was a very talented and experienced guy despite his age. At first, we paid his salary from our own pockets. But we realized that our product is quite complex and it will be practically impossible to develop it to the end with our own funds. That's why
We started looking for funds from the first day. Over the history of Perceptis, we have invested a total of $4 million. We received the first $500,000 investment in the spring of 2024. We were funded by The House Fund and Silkroad Innovation Hub. Realizing that we will enter the full-fledged seed round by August, we decided to attract a few more investors close to us before that. Among them were the MOST fund and several business angels. In the next phase, we closed a seed round in the amount of $3.1 million. The lead investor was Streamlined Ventures. We also recently closed a small interim round. It was supported by Kazakhstan's Astana Hub Ventures fund and Silkroad Angels business angel club. – Why was the intermediate round necessary before the Series A round? - By the end of the year, we plan to take the company to a full-fledged Series A round at a high price. Until then, we wanted to attract funds and business angels who have been working with us for a long time, so that they can enter the project at a slightly earlier stage. As for Astana Hub Ventures, in our opinion, it is currently one of the strongest players in the venture capital market. The activity of the fund is amazing. They are negotiating with promising American startups. Do many people know the story yet?
It is about projects that are unknown, but have already caught the attention of Kazakhstan investors. - So, even if you create a business in the USA, Perceptis has close ties with Kazakhstan. Apart from investment, what does this relationship look like? - First of all, it can be seen from our team. There were three of us for a long time. Ersultan itself is enough for an army of programmers, so at the initial stage, not many developers were needed. Now there are 15 people in our team, 12 of them work in Kazakhstan. We will make the most of the opportunity to attract specialists from our country. There are many strong personnel in Kazakhstan. At present, it is difficult to attract local developers to start-ups in Silicon Valley. Companies like Meta, OpenAI, and Anthropic offer salaries at a level that would be hard for a startup to compete with. After closing the Series A round, we're looking to roughly double the size of the team. We are looking for personnel in Kazakhstan. Moreover, we plan to register the company in the jurisdiction of Kazakhstan and apply for participation in the Astana Hub. - Perceptis is not the only presentation service. How are you ahead of the competition? - Because we are the best. This is not just a word. A tool for making presentations from May to August this year
dar has been given several independent evaluations. For example, in August, Perceptis took first place in the corporate category of the Design Arena crowdsourcing benchmark. We appeared in front of Claude Opus, Gamma, Manus and other instruments. Another independent evaluation was conducted by Caliper Lab. It compared us directly to Claude for PowerPoint on the same tasks. Perceptis scored 86 points while Claude scored 83 points. - In your opinion, what caused such a result? - We have developed a hybrid engine focused on quality. It uses a combination of different AI models and our own algorithms depending on the goal. As a basis of the system, we use neural networks available to everyone: Claude, Gemini, GPT and others. But when you send a request to our system, it is divided into several parts based on tasks. Some are solved by conventional algorithms that work according to predetermined rules where artificial intelligence is not needed at all. Tasks requiring business judgment, for example, are referred to Claude. And if quality images are needed, GPT is used and so on. - Claude, ChatGPT and other major AI services can already make presentations within a regular subscription. There
How much do you need to pay separately for Perceptis? - Our answer to clients who ask the same question is as follows: look at the benchmarks and ask yourself: "Do I need the highest quality presentation, or is Claude's enough?" try asking. If the second is enough, then you are probably not our client. And if you need the most complex and high-quality presentation, it makes sense to use Perceptis. - What is the future plan of the startup? - For now, we want to continue growing. We are not interested in selling the company or starting new companies. We see that we are doing well with this product, so we want to develop it further. The next step is to make the presentation interactive. That is, we want to turn it into a "talkable" document. You can ask him a question. For example, click on the chart and ask, "How do sales break down by geography?" or "What if we change this prediction to a different metric?" you ask and get an answer right away. Now, according to independent assessments, we are leading in terms of quality. We will try to keep this advantage, because our competitors are not watching. Alibek Dostiyarov and Yersultan Sapar studied together in the US before going on to abroad
ld careers in different fields. In 2024, the two Kazakh founders launched Perceptis, an AI-powered service for creating business presentations. Today, the platform has around 800 paying corporate clients and 15,000 users. For the joint Digital Business and Astana Hub project “100 Startup Stories from Central Eurasia,” Alibek Dostiyarov shared how Perceptis grew from a tool designed for US consulting firms into a global product, why the company hires most of its team in Kazakhstan, and how the startup manages to compete with some of the biggest AI services on the market. – Alibek, how did you come up with the idea for Perceptis? – Yersultan and I studied together at UC Berkeley. After graduation, we went in pretty different directions. He went into AI at Apple, while I joined McKinsey and built my career in consulting. At some point, we started talking about a product that could help people put together presentations and website mockups. We built the first prototype in just two weeks and applied to Y Combinator. We didn’t get in, but we made it all the way to the final interview with Garry Tan, YC’s CEO. We applied again later and once again got invited to the final interview. By th
at point, though, we had already accepted an offer to join The House Fund’s AI Accelerator, a program for AI startups. Taken together, those experiences made us feel we were onto something and heading in the right direction. But pretty quickly, we realized the product was trying to do too much. So we narrowed the focus to one specific use case: automating proposal decks for consulting firms. A consultant would enter the key details, and Perceptis would use AI to turn them into a finished presentation for a prospective client. – How did you get your first customers? – I’d find a managing partner at a consulting firm on LinkedIn, send them a connection request, and write something like: “Hi, I’m Alibek. I used to work at McKinsey and was involved in selling $40 million worth of projects. Would be great to jump on a call. I’d love to tell you what we’re working on.” By the time we got on the call, many of them had already looked at my profile and would ask, “What’s Perceptis?” That gave me an opening to explain the product and convince them to buy a subscription. Our first client paid us around $3,000 over two months, and the new projects they won delivered a return 32 times greater t
han what they had spent. Perceptis was turning proposals around so quickly that the consultant would deliberately wait before sending them out. He told us: “Guys, I get the presentations from you and then sit on them for a day, just so the clients don’t think I’m sending them some unchecked nonsense.” Back then, even ChatGPT couldn’t do anything like that, so people genuinely thought it was magic. – But then a lot of AI models learned how to create presentations. Did Perceptis evolve too? – Yes, and it really came from the users. Once they saw what the product could do, they wanted more from it. We started hearing things like, “We’re winning projects so quickly now that we need something to help us get the work done.” That’s what pushed us to broaden the product and move from sales proposals to presentations on pretty much any topic. For a while, though, Perceptis was still very much a B2B product. We onboarded clients manually, set up their accounts, and helped them upload their data. Then, in January 2026, we opened the platform up to everyone. Now anyone can sign up, choose a paid plan, and start using the service straight away. One of the main reasons was that we were curious t
o see how useful Perceptis could be outside the industries we had originally focused on. And it turned out there was a lot of demand. We started getting plenty of corporate users from engineering, tech, finance, and pharma companies, as well as research organizations. Today, Perceptis is a powerful engine for creating sophisticated presentations on pretty much any topic. – If someone opens Perceptis for the first time, what does the process look like from the initial prompt to a finished PowerPoint? – There’s just one box. You type in your prompt, hit send, and the presentation comes back. If you’re making a presentation on a general topic, you don’t need to upload anything. Perceptis pulls from public sources. But if you want the deck to be based on your company’s internal data, you can upload existing reports, financial models, or other Excel files. The system takes about three minutes to think things through and then gives you a slide-by-slide outline. At that point, you can say what works for you and what you’d like to change. Then you hit “Confirm,” and about five minutes later, you get the finished presentation as a PowerPoint file. – How much does a subscription cost? – Ther
e’s a free plan that gives you 10 slides a month. Paid plans start at $29 a month. Pro is $129, while Business is $390. Larger companies can go with the Enterprise plan, which is priced individually. – How did opening up the platform to everyone affect your revenue? – Unfortunately, I can’t share the actual numbers. We only disclose those to our investors. But since opening Perceptis up to everyone, we’ve seen revenue grow very quickly. It doubled in the first two months, then doubled again over the next three. Today, we have 15,000 registered active accounts on the platform and around 800 paying companies. – What helped you attract users? – Partly through advertising. But we’ve also had some pretty unusual viral moments. At one point, we noticed a huge number of orders coming from Japan, and we had absolutely no idea why. We weren’t running any ads there. We couldn’t see individual users’ data, but we could see the topics they’re asking about. That’s how we realized people were using Perceptis to prepare corporate documents for senior executives. Later, we found a few Japanese influencers on X who had discovered the tool on their own and started talking about it. – How did you fun
d the company, both at the start and later on? – At first, we funded everything ourselves. Our first engineering hire, for example, was a student at Nazarbayev University. He was incredibly talented and way more experienced than you’d expect for his age. In the beginning, we paid him out of our own pockets. But we knew from the start that we were building a pretty complex product, and bootstrapping it all the way would be almost impossible. So we started looking for outside funding from day one. Altogether, Perceptis has raised $4 million. We raised our first outside investment in spring 2024, when The House Fund and Silkroad Innovation Hub came on board. By August, we already knew we’d soon be going out for a full seed round, so before that we brought in a few more friendly investors. They included MOST Ventures and several angel investors. The next step was a $3.1 million seed round, led by Streamlined Ventures. More recently, we closed a small bridge round backed by Kazakhstan’s Astana Hub Ventures and the Silkroad Angels investor club. – Why did you decide to raise a bridge round before Series A? – We’re planning to raise a full Series A by the end of the year at a higher valua
tion. Before that, we wanted to bring in a few funds and angel investors we already had a good relationship with, so they could get in a little earlier. As for Astana Hub Ventures, we think they’re one of the most exciting venture players out there right now. What really stands out is how active they are. They’re already in talks with some very promising US startups, including founders that hardly anyone has heard of yet, but who are already on the radar of investors from Kazakhstan. – So even though you’re building the business in the US, Perceptis still has pretty strong ties to Kazakhstan. What does that look like beyond investment? – First and foremost, through the team. For a long time, there were only three of us. Yersultan is basically a whole army of engineers on his own, so early on we didn’t need a big development team. Now we’re up to 15 people, and 12 of them are based in Kazakhstan. We’re making the most of the opportunity to hire back home, where there’s a really strong pool of talent. It’s tough to hire local engineers in Silicon Valley right now. Meta, OpenAI, and Anthropic are offering compensation packages that are very hard for a startup to compete with. Once we
raise our Series A, we want to roughly double the size of the team, and we’ll be hiring in Kazakhstan. We’re also planning to register a company there and apply to join Astana Hub. – Perceptis isn’t the only tool for creating presentations. What gives you an edge over the competition? – We win because we’re the best. And I’m not just saying that. Between May and August this year, several independent rankings of presentation tools came out. In August, for example, Perceptis took the top spot in the enterprise category of Design Arena’s crowdsourced benchmark, ahead of Claude Opus, Gamma, Manus, and other tools. Another independent benchmark came from Caliper Lab. They put us head-to-head with Claude for PowerPoint on the same tasks. Perceptis scored 86 points, compared with 83 for Claude. – What do you think helped you get there? – We built a hybrid engine that’s really all about quality. Depending on the task, it mixes different AI models with our own algorithms to get the best result. Behind the scenes, we’re using the same models everyone else can access: Claude, Gemini, GPT, and others. The difference is what happens after you send something into our pipeline. We break the reque
st down into a whole series of smaller tasks and route each one to whatever is best suited for it. Some parts are handled by simple rule-based algorithms, because there’s no point using AI where you don’t need it. If something calls for business reasoning, we might send it to Claude. If it needs strong visuals, that could go to GPT. And so on. – Claude, ChatGPT, and other major AI tools can already create presentations as part of a regular subscription. So why pay separately for Perceptis? – That’s exactly what we tell customers who ask us the same thing: look at the benchmarks and ask yourself what you actually need. Do you want the best possible presentation, or are you happy with what Claude gives you? If it’s the latter, then you’re probably just not our customer. But if you need something more sophisticated and really high quality, that’s where Perceptis makes sense. – What’s next for the startup? – For now, we just want to keep growing. We’re not thinking about an exit or starting another company. We can see that this product is working really well, and we want to keep building it. The next step is to make presentations interactive, so they become documents you can “talk” to.
You’ll be able to ask them questions. For example, you could click on a chart and ask, “How does this sales bar break down by region?” Or, “What happens if we change this assumption?” and get an answer straight away. Right now, independent benchmarks put us ahead on quality. And we want to keep that lead, because our competitors aren’t standing still either.
