Why software?
Software is eating the world
— Marc Andreessen
No human at scale can compete with "automation" in terms of efficiency. That's why software is "eating" the expenses of traditional businesses, taking a share from less efficient operations in traditional industries. This enables rapid growth in the software market, not only due to overall market expansion but primarily through the reallocation of expenses from non-automated companies



We are pragmatic. We believe that the key driver of a company's value (Equity) is the long-term growth of Earnings Per Share (EPS), which "stands on the shoulders" of its Free Cash Flow (FCF) and Weighted Average Cost of Capital (WACC). These, in turn, are directly influenced by the size of the customer (contract) base and the operational efficiency of the company's key processes.

Priority Areas
Managed Services & Marketplaces. Create a seamless, secure, and economically efficient vertical service market for B2B consumers and providers, addressing uncertainty, risks, and key industry constraints.

Supply Chain & Logistics. Reduce the time and cost of supply chain operations, increasing throughput by optimizing supplier selection, procurement, warehousing, transportation, and distribution processes.

Production & Manufacturing. Enhance production capacity through optimal planning, improved productivity, reduced costs, losses, and downtime, as well as demand forecasting, operations management, skill development, and worker safety.

Diagnostics, Preventive & Personalized Medicine. Deliver accurate diagnostics, preventive and personalized medicine, ensuring the availability and quality of medical services for people.

Digital Empowerment & Skills Development. Boost individual productivity with advanced tools, develop practical skills, and ensure safety and comfort. Improve knowledge levels to advance careers, increase incomes, and enhance quality of life.
Priority Technologies
Applied Data Engineering & Science. Business-critical insights are delivered through accurate, complete, reliable, and up-to-date data. This is achieved by assessing quality, cleaning, merging, and enriching data within a specific applied domain. Key applications include plan-vs-actual controls, anomaly detection, and forecasting.

Applied AI & Optimization Solvers. Models are designed for specific applied domains to address optimization, classification, prediction, and management tasks with far greater accuracy than currently available. These models perform tasks previously handled only by experienced specialists, driving exceptional growth within existing processes.

Autonomous Systems & Agents (AI). Enable rapid, autonomous decision-making in response to the environment by processing sensor data in real-time with low response costs and minimal communication overhead. These systems emulate top-tier employees immersed in professional contexts.

No-code & Low-code Hyperautomation. Digitization and customization costs are significantly reduced compared to today, enabling the automation of as many operations as possible to deliver outstanding efficiency faster than competitors.