Every executive evaluating an AI platform today asks one question before even sitting down for a demo. Where does our data go. Who sees it. Where is it stored. Who has access. And what happens the day a regulator asks for a full record of where that data was, who touched it and under what conditions.
That question is not limited to one industry. It appears in every bank, every insurance company, every government agency and every regulated company that looks at AI today and sees a door that is closed to it. And that is exactly the problem Nikola Kočić built his company to solve.
A market nobody priced correctly
Kočić, the founder of Growww AI, did not arrive at this from policy papers. He came to it from more than a decade of building and scaling companies in fintech, gaming and e-commerce across Europe, the UAE and the USA, industries where confidentiality is not a preference, it is a legal condition of doing business. Each of those companies wanted AI. Each had a budget. None could send data to a third party's cloud, and it was never a question of will. Regulation, audit requirements and internal security policies closed that door regardless.
The number behind that obstacle turned out to be enormous. Gartner projects that global spending on sovereign cloud infrastructure will reach 80 billion dollars in 2026, growth of 35.6 percent a year, climbing to a projected 110.6 billion in 2027. About a fifth of all enterprise workloads are currently migrating from global to local providers, and the first buyers are not technology companies. They are governments, followed by energy, telecoms and finance. The European sovereign cloud market is growing 83 percent a year and, by Gartner's numbers, is on track to overtake North America by 2027.
"Where is our data" has stopped being an item the legal department raises in a contract review. It has become the fastest growing category in the whole cloud industry, and Kočić says most AI vendors still price their platforms as if that shift had not happened.
Why the billing model is the real problem
The problem with standard SaaS AI, in Kočić's explanation, is not only that data physically travels to someone else's server. It is the billing architecture underneath. When a platform charges per token consumed or per seat, the client is implicitly paying for their data to flow continuously through someone else's infrastructure, because the provider's revenue depends on that flow never stopping. For a bank or a government agency, that is not a technical footnote. It is the reason the contract never gets signed.
Solving it means changing the delivery model itself, not just where the servers physically sit. The platform has to run on the client's own infrastructure, inside their firewall, so that compute, storage, network and every byte moving through the system stay where they have always been. Billing has to move to a flat monthly engine license instead of per token or per seat, which removes the incentive for data to leave the perimeter at all. The client keeps the freedom to run any model they want, OpenAI, Claude, Grok or others, because the platform does not sell intelligence. It sells the architecture that brings that intelligence safely into the client's operations under their control. The engine is the container. What the client puts inside is theirs.
Two products, one engine
That architecture now powers two separate branded products in production, each solving a specific problem.
The first, Unicorn AI, is Growww's own product, built on Growww AI Engine, and it goes after two problems on which every organization loses money without measuring it. The first is meetings that leave no real trace. Harvard Business Review puts the global cost of corporate meetings at 37 billion dollars a year. Research by Steven Rogelberg, conducted on 632 employees across 20 industries, showed that the average worker spends 17.7 meetings a week, about 18 hours, of which almost six they themselves rate as unproductive. For a company with 5,000 employees, that comes to an estimated 100 million dollars a year spent on meetings that produce nothing. Unicorn AI runs on the client's own infrastructure, records and transcribes every meeting in real time and turns the conversation into a summary, formal minutes and a calendar entry for every commitment made, with a named owner and automatic tracking of whether it was actually delivered.
The second problem is sales, where the numbers are just as brutal. Average salesperson turnover is 35 percent, more than double the rate in other industries according to HubSpot, and some B2B studies put it as high as 45 to 58 percent a year. A new hire takes on average 3.2 months to reach full productivity, average tenure is only 18 months, and peak performance does not arrive until the second or third year, which means most salespeople leave before they ever reach their ceiling. Response speed is equally unforgiving: contacting a lead within five minutes raises conversions by up to 100 times compared with responding within 30 minutes, and Velocify found that responding within the first minute raises conversion by 391 percent. Wait longer than five minutes and the chance of qualifying the lead drops 80 percent. The estimated annual cost of missed calls is around 126,000 dollars for a small firm and more than 250,000 dollars for a law practice. For sales, Unicorn AI runs a full stack inside the client's network: an AI call center that handles inbound and outbound calls, a chat agent that qualifies leads and handles objections, and a knowledge layer with instant answers to product questions, and every conversation is recorded and scored so the sales team knows exactly where deals are being lost.
The second product, Agentik, is an internal knowledge platform with a RAG base that gives every employee instant access to the company's institutional knowledge, all inside the organization's perimeter.
Sovereignty as a condition of entry
Sovereign AI stops being a niche and becomes the standard for every deployment where data confidentiality is non-negotiable. What Growww AI engine offers this market is not an option. It is a condition. And that is the difference between a product that is sold and infrastructure that is installed.
Read the full article at AllTech Magazine: https://alltechmagazine.com/middle-easts-most-careful-institutions-are-already-running-sovereign-ai/
Find out how one engine powers two products inside your infrastructure at growww.ai.
