The Architects of Tomorrow: Furkat Kasimov’s Masterplan for the Application Layer of AI

Listen to the noise in the market today, and one might assume the only way to build a monumental technology company is to amass a sovereign wealth fund and train a massive foundational model. This perspective reflects a recurring herd mentality that has appeared in previous technological cycles, from the first microprocessors to the dawn of the commercial internet. The masses often obsess over raw infrastructure, while more strategic investors quietly move one layer above.

Right now, the transition from foundational model development to application-layer deployment represents the maturation of the artificial intelligence technology cycle. Foundational models serve as horizontal infrastructure, while the application layer represents the verticalization of this infrastructure into deeply integrated, workflow-specific software. This is precisely where Furkat Kasimov is placing his bets with the launch of Qatlama LTD, operating globally via AppLayerAI.com.

Kasimov is operating with a clear understanding of current market dynamics. Global venture capital funding hit a staggering $297 billion in the first quarter of 2026, with AI capturing roughly 80% of it. Yet four companies alone absorbed about 65% of that total. Competing at the foundational layer is widely seen as impractical for players without access to nation-state-level capital. Meanwhile, the application layer secured approximately $60 billion in the same quarter, a figure increasingly viewed as the core opportunity within the AI economy.

The London Engine

The development of applied technology is rarely isolated; it is typically rooted in dense, highly specialized talent ecosystems. Since 2020, more AI companies have been founded per capita in Britain than anywhere else in Europe.

London alone hosts more than 1,300 AI companies and a workforce of 360,000, including 20,000 engineers with deep AI expertise.

Qatlama and the Layered Blueprint for Building AI Companies That Scale

Kasimov named his venture studio Qatlama after a traditional layered bread from Central Asia, using it as a metaphor for the evolving structure of AI businesses. The modern AI landscape requires multiple layers of domain expertise combined with rigorous technical execution.

Qatlama is designed to partner with deep domain experts who understand inefficiencies within their industries, providing them with the technical infrastructure and go-to-market capabilities needed to scale.

Industry data supports this structured approach. Venture studio startups tend to show higher success rates than traditional startups, while also shortening the typical timeline from inception to Series A. In a market where seed deals fell 30% in early 2026, investors are increasingly concentrating capital into fewer, more prepared companies. Within this environment, venture studios that pre-validate ideas are becoming strategically significant.

The Vertical Masterplan

Broad, unfocused software strategies are losing relevance. The enterprise AI landscape increasingly rewards companies that build proprietary data flywheels and adopt compliance-first architectures. Kasimov is focusing Qatlama on three high-value global
verticals:

Finance

The global market for AI in fintech is projected to reach $99.09 billion by 2031. The UK remains a central hub for fintech, with thousands of active companies securing substantial funding in recent years. With 75% of UK financial services firms already using AI, market demand is active and accelerating, particularly for solutions that reduce costs and improve compliance.

E-commerce

Traditional distribution advantages are eroding. Traffic from generative AI sources to retail sites grew by 4,700% year-on-year by mid-2025. Agentic AI in retail is currently valued at $60.43 billion and is projected to reach $218.37 billion by 2031. Shoppers referred by AI tend to convert higher than traditional traffic. Qatlama is positioning itself to capitalize on this structural shift in digital commerce.

Marketing

Manual campaign management is rapidly being replaced by automation. Generative AI adoption among marketers has surged in recent years. The median payback period has significantly shortened, while agentic AI spending in the sector is projected to reach substantial levels this year.

The broader market shows a clear disconnect: AI adoption is widespread, but only a small fraction of organizations are yet realizing meaningful bottom-line impact. This gap between adoption and value creation represents the primary opportunity that Kasimov and Qatlama LTD aim to address.

Rather than focusing on building foundational models or standalone tools, the company is positioned to develop integrated, real-world business applications designed for measurable outcomes.

Company Name: Qatlama LTD