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Latvian Bootstrap Ajelix Reaches 350,000 Users Without Ads or VC Funding
A four-person team from Riga built an AI platform for spreadsheets and documents, reaching 350,000 users through SEO and content marketing alone, without spending a cent on ads or taking venture capital.
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While OpenAI, Google, and Anthropic spend billions of dollars on infrastructure and marketing campaigns, a four-person company from Riga has built a user base of 350,000 without spending a single dollar on advertising and without a venture capital investor on its cap table. Latvian startup Ajelix, maker of AI tools for working in Excel, Google Sheets, and business documents, shows that in a race dominated by giants, there's still room for a model built on organic growth.
Growth Without an Ad Budget
Ajelix's story began modestly. Artūrs Jaunosans and Agnese Jaunosane, the founding couple, launched a simple Excel formula generator in late 2022, betting on demand among office workers struggling with spreadsheets. Instead of investing in paid campaigns, they focused on search engine optimization around AI-in-Excel keywords, publishing practical guides, and getting listed in industry blogger rankings.
The effect proved more lasting than a one-off spike in popularity. The company's earlier products, available since 2018, had already amassed more than 300,000 users before the real expansion of its AI-powered tools even began. Today the number of registered users stands at 350,000, and the company runs entirely on its own revenue.
People simply really used our product and talked about it - Ajelix founders
A Business Model Without Investors
Ajelix operates on a freemium model, where users get monthly access to tools within free limits, generating recurring engagement and a natural path to premium subscriptions. The company avoids reliance on outside funding, meaning there's no investor pressure to scale aggressively at the expense of profitability.
The four-person team splits roles in a way typical of bootstrapped startups. Artūrs Jaunosans is responsible for software development, fine-tuning language models, training models, and managing GPU infrastructure. Agnese Jaunosane handles business development, content creation, and the daily analytics she publishes on LinkedIn. The other two team members support company operations.
Data Sovereignty as an Advantage
A key element of Ajelix's strategy is positioning itself as an alternative to America's AI giants for European companies sensitive to regulatory compliance. Unlike OpenAI, Google, or Anthropic, which operate under US jurisdiction, Ajelix keeps its infrastructure exclusively in Latvia, within the European Union.
The company has invested in its own GPU infrastructure located in Latvia, citing two reasons for the decision: independence from outages at third-party cloud providers, and a guarantee that user data stays within EU jurisdiction with full transparency. For European businesses that need to demonstrate compliance with data protection regulations, that argument can be decisive when choosing a provider.
Implementation Over Software Alone
Ajelix also focuses on services the big players don't offer at scale: on-site deployments, process integration within specific companies, and team training. While tech giants sell software on a self-service basis worldwide, a small company from Riga can offer more personalized support to clients who value close contact with their provider.
Growth plans include building its own data center to meet growing demand from European companies for sovereign AI solutions. Ajelix also wants to position itself as a trusted implementation partner, helping organizations integrate artificial intelligence into existing workflows, rather than competing directly on model scale with labs backed by billion-dollar budgets.
Ajelix's story fits into a broader trend among European AI startups that, instead of racing US and Chinese giants on the biggest-models front, are seeking niches built around local service, regulatory compliance, and infrastructure independence. With growing regulatory pressure in the European Union and ongoing debate over the continent's technological sovereignty, the case for European data localization may carry increasing weight as a factor for companies and public institutions choosing an AI provider.
