AI-Driven Platform Set to Transform Leasing in Moscow’s Technoparks

Reimagining Leasing with Intelligent Automation

A significant agreement has been reached that could redefine how business facilities secure tenants in one of Russia’s most dynamic markets. Deep AI, a leader in artificial intelligence solutions, is bringing its Flyflat Market platform to Elma Group’s technoparks in Moscow. This collaboration is positioned to bring a technological edge to the traditionally complex process of leasing commercial spaces, directly addressing industry inefficiencies with state-of-the-art automation and adaptive intelligence.

Current challenges in the facility rental landscape often stem from generic outreach methods and slow matching of residents to vacant spaces. The deployment of Flyflat Market introduces a new paradigm by leveraging machine-based learning to optimize these connections. Rather than relying on static advertising, the system is designed to learn from ongoing user interactions and market trends, curating and distributing highly personalized message campaigns that reach qualified audiences with precision.

Personalization Across Industry Sectors

The backbone of this system is its ability to interpret the unique requirements and behavioral patterns of distinct business types seeking premises in Moscow’s innovation clusters. Flyflat Market aggregates detailed datasets — from industry segments and business size to operational priorities — and applies algorithmic insights to generate tailored leasing proposals. This is not simply about automating communication; it is about shifting from broad, undifferentiated adverts to specific, profile-driven offers that speak directly to the operational needs that decision-makers identify with.

Matching tenants and landlords has historically been reactive, driven by simple listings and passive inquiry processes. By contrast, this platform introduces predictive elements, anticipating business preferences and proactively surfacing curated options. As a result, companies gain access to facility proposals that are relevant from the outset, not after multiple rounds of negotiation or outreach. This transformation has particular resonance for technoparks, where the speed and specificity of occupancy can directly influence an entire ecosystem’s vibrancy.

Accelerating Results and Measurable Impact

The anticipated outcomes set tangible benchmarks for success: an increase of 30 percent in contractual efficiency and a remarkable 1.5 times reduction in the time it takes to establish successful resident agreements. These projected performance metrics are rooted in the concrete ability of artificial intelligence to analyze broad datasets and user responses in real time, guiding the constant refinement of outreach strategies and match criteria.

Launching in the third quarter of 2025, this initiative represents more than a routine technical upgrade. It is likely to serve as a model for large-scale commercial leasing arrangements elsewhere, drawing interest from facility managers, real estate operators, and property technology professionals across the region. In an era where operational agility and data-driven insight increasingly separate leading business districts from the rest, the integration of such platforms places Elma Group’s Moscow technoparks at the forefront of digital transformation.

Strategic Implications for the Innovation Ecosystem

The significance of this advancement is especially relevant for environments like technoparks, where rapid scaling, enterprise diversity, and seamless operations foster growth, collaboration, and investment. By aligning leasing processes with advanced digital tools, the core workings of property management are poised to evolve, from administrative overhead to insight-led facilitation. This shift is not only about enhanced lead generation but also about building more resilient and responsive business communities.

With the coming rollout, all eyes will be on the practical outcomes in occupancy turnover, lease conversion rates, and stakeholder satisfaction. The platform’s performance will be measured through its ability to translate technological potential into real-world, quantifiable outcomes—matching the ambitions of Moscow’s innovation sector. As more organizations look to replicate data-centric workflows, this move paves the way for a broader conversation on the critical role of automation, behavioral analytics, and strategic personalization in shaping the city’s economic future.