Strategic Technologies & Knowledge Transfer for Kyrgyzstan
Novum Analytica is an international technology company focusing on security, AI-powered data analysis, autonomous systems, and knowledge transfer. Our solutions support governments, public administrations, systemically important financial institutions, educational establishments, and industries in strengthening digital sovereignty and economic resilience.
Novum Analytica was founded in 2023 as an innovative spin-off with the goal of flexibly developing and making know-how and technology accessible within Eurasia. The company can draw on expertise in security and diplomacy combined with cutting-edge approaches in innovation and technology dating back to 1540.
Leadership Team
Benjamin STEIN
Chief Executive Officer
Mr. Stein brings a unique combination of humanities background and technical expertise to Novum Analytica. His career began in technology as an IBM-OS specialist and editor-in-chief for a prominent IBM-OS journal before transitioning to executive leadership.
Over 25 years ago, he established himself as CEO and CTO of a pioneering company that developed advanced 3rd degree neural networks for financial institutions. He later specialized in data warehouse solutions for mobile telecommunications companies.
At Novum Analytica, Mr. Stein oversees the company's proprietary hardware stack and directs all software and hardware development efforts.
John-Thayne SAVEE
Chief Strategy Officer (CSO)
Dr. John-Thayne Savee combines extensive legal expertise with an exceptional track record in international strategy consulting and leadership development. With his strategic vision and cross-cultural management skills, he oversees Novum Analytica's mid to long-term strategic orientation, ensuring sustainable growth and global positioning.
Olga MOGILEVSKAYA
Chief Operations Officer (COO)
Ms. Olga Mogilevskaya graduated with honors from TU München with an MSc in Computer Science and Management. She brings a distinguished track record in auditing system-critical insurance and financial institutions while working at one of the Big Four auditing companies. She specialized in Anti-Money Laundering (AML) and Know Your Customer (KYC) analytics, overseeing sophisticated compliance analysis tools.
Rainhard BENGEZ
Co-Founder and CEO
Dr. Rainhard Bengez holds two PhDs in mathematics and physics, as well as an MD in medicine and biochemistry. He has served as a professor of non-standard mathematics and computable risk models at several European and Asian universities, while also overseeing military and non-military critical infrastructure.
Dr. Bengez co-founded Novum Analytica to leverage his family's business extensive heritage in technology, security, and diplomacy—a tradition dating back to 1540. At Novum Analytica, he leads research initiatives and delivers practical, effective solutions.

Our approach: We not only bring technology but also qualify and involve local professionals in Kyrgyzstan to ensure sustainable innovation.
Table of Contents
  1. Security & Mobile AI Data Center - Advanced infrastructure solutions tailored for local needs
  1. University Matching Platform - Connecting academic institutions with research opportunities
  1. Control Cockpit for Bank Management - Comprehensive compliance and early warning systems
  1. Industry and Agriculture Solutions - Modernizing traditional sectors through innovation
  1. Novum Analytica's Vision - Growing sustainable partnerships in Kyrgyzstan
  1. Success Stories & References - Proven impact across multiple industries
1. Security & Mobile AI Data Center
1
Mobile AI Data Center
Secure, portable data centers with encryption at the highest military level and post-quantum cryptography.
2
Cybersecurity & Threat Detection
AI-powered and autonomous protection systems for government institutions & banks.
3
Critical Infrastructure
Independent protection of supply systems, telecommunications & financial networks through autonomous systems.
4
Digital Sovereignty
Maximum control over own data, digital processes, and infrastructure.

Benefits for Kyrgyzstan: Establishment of independence and strengthening of national cyber resilience and protection against geopolitical risks.
2. Matching Platform for Universities & Research
Networking
Connecting students, researchers & businesses to promote innovation and education.
International Cooperation
Collaboration with international universities for technology transfer.
Digital Strategy
Support for the national digital strategy through targeted qualification programs.
Funding
Access to funding & research projects in Europe & Asia.

Benefits for Kyrgyzstan: Educating a new generation of technology experts & scientists.
3. Control Cockpit and Early Warning Systems for Comprehensive Bank Management and Compliance
  • Inflation & Currency Forecasts
  • Financial Resilience & Risk Management
  • Key Factor Influence (KFI) for Banks
  • Fraud Detection & Compliance Optimization
  • Optimization of Credit Portfolios & NPL Management
  • Proactive Scenario Modeling for Regulatory Adjustments
  • Early Identification of Global Trends & Their Impact on the Financial Sector
  • Support for Central Bank Digital Currencies (CBDCs) & Blockchain Regulations

Benefits for Kyrgyzstan: A stable, secure, and future-proof financial sector through data-driven decision support and forward-looking action recommendations.
4. Industry and Agriculture
Mining & Raw Materials
  • Early warning systems for mines & resource extraction
  • Market & financial strategy for mining companies
Agriculture
  • Harvest forecasting based on weather data & soil analyses
  • Precision agriculture
Trade & Supply Chains
  • Supply chain & trade risk management
  • Detection of global supply chain disruptions & price shocks
Safety & Regulation
  • Predictive safety monitoring
  • EU taxonomy & environmental regulations

Benefits for Kyrgyzstan: Make production & financial decisions with maximum precision and continuously position strategically for the future.
5. Why Novum Analytica?
1
Global Expertise
Successful implementation of security and digitalization projects worldwide
2
Trusted Partner
Confidential collaboration with governments, central banks, and ministries
3
Sustainable Knowledge Transfer
Training of local experts in Kyrgyzstan
4
Long-term Partnership
Strategy for economic and technological empowerment
5
Cost-effective
Affordable and sustainable
Our Vision: Growing Together in Kyrgyzstan

1

2

3

1
Joint Development
Trust and close collaboration for successful expansion
2
Novum Analytica
Establishing a lasting foothold in a growth region
3
Country and People
New jobs, technical qualification, and value creation

Novum Analytica goes beyond mere knowledge transfer: We plan to establish our own company in Kyrgyzstan to train and further qualify local professionals on-site. Through specific projects, we will provide "on-the-job training," sustainably promoting local talent in a practical manner. This creates a win-win situation for all parties involved:
Selected References
Our proven track record spans global financial institutions, regulatory bodies, and corporate partners.
Banking Institutions
  • BMW-Bank (DE)
  • VW-Bank (DE)
  • Baltinvest Bank (RU)
  • Sberbank (CH)
  • BNP Bank Pariba (FR)
  • Genossenschaftsbank (DE)
  • Bayerische Landesbank (DE)
  • Commerzbank (DE)
  • Uni Credito (IT)
Regulatory Bodies
  • European Banking Authority
  • European Central Bank
  • BaFin (German Financial Regualtion Authority)
Corporate Partners
  • MEAG - Investment branch of Munich RE
  • Siemens
  • Smart Infrastructure
  • Energy
  • Real Estate
Resources
  • BayWa (Agrar Industry) (DE)
  • BioLand (Agrar Industry) (DE)
  • Abosaming Agrar (Ghana)
  • Mining Corporation (AU)
  • Mining Corporation (Africa)
Education
  • University of Paderborn (DE)
  • TU München (DE)
  • Federal Ministry of Education and Youth (DE)
  • Tsinghua University (CN)
  • University and Technical University of Kaunas (Lithuania)

Our success is built on tailored solutions that meet the specific needs of each client, establishing long-term partnerships across industries and regions.
Selected Success Stories Overview
1
Strategic security solutions and defense technology implementation
2
Comprehensive solution for impact assessment and management
3
Revolutionizing resource allocation across industries
4
Advanced financial solutions for complex portfolio management
5
Integrated systems for streamlined financial operations
6
Transformative online retail and marketplace solutions
7
Seamless integration of physical and digital retail experiences
8
Optimizing efficiency in aviation logistics and management
9
Advanced systems for supply chain optimization
10
Technology solutions for sustainable agricultural practices
11
Streamlining operations in complex manufacturing environments
12
Innovative approaches to building and maintaining infrastructure
Security and Defence
Secure Embassy Communication Networks
Multi-layered encryption, satellite redundancy, and quantum-resistant protocols ensure diplomatic continuity during crises. Successfully deployed across 14 countries, protecting sensitive communications from sophisticated cyber threats.
Autonomous Mobile AI Data Centers
Advanced tactical intelligence capabilities that process sensitive data locally without external network reliance. Enables real-time threat analysis in remote border regions while maintaining complete technological sovereignty.
Critical Infrastructure Protection
Holistic security approach combining advanced intrusion detection, 24/7 monitoring, and AI-powered anomaly detection. Successfully protecting power plants, water treatment facilities, and energy networks across Europe and Central Asia.

Our expertise spans these critical security initiatives, implementing comprehensive protection for operational technology, industrial facilities, and cyber-physical systems through integrated cybersecurity and physical measures.
Next Impact Suite
More Time - Higher Profit - More Clients - Reducing Failed Decision
Continual enhancement driven by empirical evidence.
Your Partner for Innovation
Expertise
Novum Analytica has years of experience in applying AI across various industries. We understand the challenges and opportunities associated with implementing complex AI systems.
Innovation
We continuously develop new AI solutions to help companies like yours stay competitive and unlock new business opportunities.
Our Data-Centric View of Companies and Their Development
Business success and sustainability is 75% empirically and methodically explainable. You can actively work on and shape 75% of business success based on facts. The remaining 25% cannot be influenced methodically.
75% Measurable Success
Through data-driven analysis; quantifiable and optimizable
25% Risk Potential
Creative and disruptive opportunities for growth; chance and complex dependencies
The 6 Success Factors
These six factors can explain 75% of business success and demonstrate how it can be actively and methodically influenced.
Market Position
Competitive positioning and market share.
Profit
Profitability and profit margin.
Productivity
Process efficiency and effectiveness.
Innovation
Development of new products and services.
Stakeholders
Relationships with customers, employees, and investors.
Cash Flow
Financial stability and liquidity.
AI-Powered Productivity Enhancement
Process Optimization
AI and RPA support process optimization through automation of routine tasks and data analysis.
Improved Efficiency
AI enables timely summarization and adaptation of texts and images, leading to increased efficiency.
Challenges
The disadvantage is that:
  • generally the time advantage becomes smaller and
  • the outputs are hardly of higher quality and
  • barely differ from one another
Dynamic Resource Managing Platform: Revolutionizing Resource Allocation
Welcome to the future of resource management, where innovation meets efficiency. Our platform addresses today's resource allocation challenges through intelligent automation and data-driven decision-making.
Platform Overview
Our comprehensive solution transforms resource management through intelligent automation, optimizing industrial workflows and maximizing efficiency across organizations.
Stakeholder Roles
Support for diverse agent profiles with detailed technical competencies, clients with precise requirements, and administrators ensuring optimal platform functionality.
Innovative Matching Logic
Advanced criteria and machine learning models dynamically match resources with projects based on technical qualifications, soft skills, and availability tracking.
Platform Dynamization
Adapts to market demand through automated skill gap analysis and integrates tailored training modules for continuous agent development.
Data Model & Security
Robust structure with advanced encryption, secure APIs, and regular security audits ensuring data protection while complying with international standards.
Optimal Team Assembly
AI-driven team chemistry analysis balances technical prowess with cultural fit, considering team dynamics and past collaboration history.
The Dynamic Resource Managing Platform represents a paradigm shift in how organizations allocate their most valuable assets. By leveraging artificial intelligence and machine learning algorithms, our solution creates a responsive ecosystem where resources are dynamically assigned based on real-time needs and capabilities.
Future Developments
AI-Powered Skill Prediction
Advanced forecasting of skill development needs and career progression paths based on market trends and individual profiles.
Integration Capabilities
Seamless connection with major project management tools and HR systems for comprehensive resource management.
Enhanced Analytics
Comprehensive reporting capabilities providing actionable insights for resource utilization optimization and performance improvement.
Skill Enhancement
Expanded training features supporting continuous professional development through personalized learning experiences.
Conclusion
The Dynamic Resource Managing Platform fuses cutting-edge technology with strategic innovation, lending a competitive edge to resource allocation. By addressing the complex challenges of modern resource management, our platform enables organizations to maximize efficiency, reduce costs, and drive project success.
Asset Management & Alternative Investments
Challenge:
Family offices and alternative investment companies face the challenge of maximizing returns while proactively managing risks. Common problems include financial market volatility, real estate investment risks, and identifying future-proof investment opportunities, especially in times of rapid market changes.
Anticipated Poor Decision:
A client planned significant investments in a real estate portfolio with a strong focus on office properties in urban areas. However, our analyses showed clear early indicators of market overvaluation and vacancy risks due to the growing remote work culture.
Solution and Technology Implementation:
Through the use of our proprietary technologies, including Artificial Intelligence (AI), Machine Learning (ML), and Robotic Process Automation (RPA), we were able to identify precise early indicators and conduct comprehensive risk assessments. Our analysis combined macroeconomic models and machine learning to develop alternative investment strategies that minimized risk and revealed new growth potential.
Monetary/Strategic Benefits:
35 Million Euros
Failed investments prevented
25 Million Euros
Additional profit from progressive markets
5% - 12%
Increase in real estate value
1.3 Billion Euros
Additional revenue generated through a new mandate due to automation
Financial and Insurance Services Provider
Challenge:
Banks and insurance companies face intense competitive pressure to develop innovative products, minimize risks, and comply with regulatory requirements. In lending and risk management, poor decisions often result in high costs, whether through loan defaults or inadequate risk assessments of insurance products.
Anticipated Poor Decision:
A major insurer planned to introduce new life insurance products that were heavily based on the assumption of a stable macroeconomic environment and low interest rates.
However, our analysis showed that an increase in interest rates was imminent, which would have made the product unprofitable and significantly increased the risk of policy cancellations by customers.
Solution and Technology Implementation:
Using our AI, ML, and RPA (Robotic Process Automation) technologies, we were able to conduct comprehensive simulations and scenario analyses that identified the risk of an interest rate shift early on. Additionally, we:
a) Made the effect of online marketing on pure online business measurable and transparently showed the interaction with agency business.
b) Developed a methodology that made this effect globally comparable and predictable.
c) Implemented an automated solution for evaluating worldwide digitalization that identifies deficient areas early and provides data-based recommendations for action.
Monetary/Strategic Benefits:
185 Million Euros
Losses prevented
+12%
New business volume in Europe
+15%
New business volume in the Americas
+20%
New business volume in Asia
70 Million Euros
Direct additional revenue
Improved Market Position
Digital Commerce & E-Commerce
Challenge:
  • Immense pressure to maximize conversion rates, ensure customer satisfaction, and reduce operating costs
  • Increasing competition and changing customer preferences require continuous optimization of marketing strategies and product offerings
Anticipated Poor Decision:
  • Large e-commerce provider planned extensive investment in new product line based on outdated market analyses
  • Our data showed a shift in customer preferences towards environmentally friendly and sustainable products
  • Without intervention, the client would have invested significant capital in a low-demand product category
Solution and Technology Implementation:
  • Deployment of AI and ML technologies and Robotic Process Automation (RPA) for detailed market analysis and trend forecasting
  • Development of a dynamic pricing and inventory management system based on real-time data
  • Enabling faster adaptation to market changes and optimization of product availability
Monetary/Strategic Benefits:
22 Million Euros
Investment error avoided
40%
Revenue increase in first quarter
19%
Increase in average cart value
8 Million Euros
Annual cost savings
30 Million Euros
Additional revenue
+22 points
NPS improvement
Omni-Channel Retail
Challenge:
In omni-channel retail, companies must provide seamless customer experiences across different sales channels. Challenges arise from integrating online and store operations, optimizing inventory management and logistics, as well as adapting to changing customer preferences.
Anticipated Poor Decision:
A leading omni-channel retailer planned significant investments in opening new stores while neglecting the growing trend toward online purchasing. Our analyses showed that the importance of brick-and-mortar retail was rapidly declining and resources would be better invested in digital channels and B2B services.
Solution and Technology Implementation:
Through the use of AI, ML, and RPA technologies, we were able to:
  • Adjust the company's attribution model and enable integration of online and store operations to gain a unified view of customer behavior.
  • Unify and optimize inventory management and logistics, leading to a significant reduction in stock-outs.
  • Make packaging processes more efficient to reduce costs and improve sustainability.
  • Recommend a gradual consolidation of the store system, which ultimately led to its complete closure.
  • Shift focus to B2B business, particularly in the ad-hoc delivery of critical components for business customers.
  • Identify products that could be successfully marketed as private labels, significantly increasing margins.
Monetary/Strategic Benefits:
300 Million Euros
Avoided misallocated investments through restructuring.
50 Million Euros
Annual profit increase through optimizations.
Insolvency Forecast
Prediction of an omni-channel retailer's insolvency.
Revenue Growth
Generation of additional revenue through product line reorganization.
Job Security
Securing jobs through successful recombination of product lines.
Aviation & Airport Operations
Challenge:
Airport operators and aviation industry companies face significant pressure to operate efficiently, ensure safety, and simultaneously accommodate increasing passenger and cargo volumes. Additionally, volatile market conditions, rising operating costs, and changing regulations complicate the planning and implementation of infrastructure and optimization measures.
Anticipated Poor Decision:
A major airport planned significant investments in passenger terminal expansion based on outdated passenger development forecasts. However, our analysis showed that demand was shifting more towards cargo and logistics services, driven by the growing e-commerce sector and changed travel habits following the pandemic.
Solution and Technology Implementation:
Through the use of our AI, ML, and RPA technologies, we were able to:
  • Create precise passenger and cargo development forecasts based on real-time data and global trends.
  • Propose terminal usage optimization and repurposing of spaces towards logistics and cargo handling, which increased efficiency and utilization.
  • Implement automated fleet and maintenance management that optimized maintenance cycles and reduced costs through predictive analytics.
  • Conduct an analysis of ground traffic capacities that identified bottlenecks and provided recommendations for process reorganization and automation.
  • Develop a new digitalization concept that included the integration of IoT technologies and intelligent sensors to utilize real-time data for better decision-making.
Monetary/Strategic Benefits:
€400 Million
Our intervention prevented misguided investments by the airport operator.
35% Revenue Growth
Expansion of logistics and cargo services in the first year.
€15 Million Cost Savings
Annual optimization of maintenance management.
30 Point NPS Increase
Improved customer satisfaction through overall strategy.
€100 Million Additional Revenue
Long-term partnerships with leading freight companies.
Transport & Logistics Solutions
Challenge:
Transportation and logistics companies are constantly challenged to optimize their supply chains, ensure on-time deliveries, and simultaneously reduce costs. The increasing demand in e-commerce, volatile fuel prices, and the shortage of qualified drivers pose additional challenges. Moreover, inefficiencies in fleet management and warehousing are often costly.
Anticipated Poor Decision:
A leading logistics provider planned significant investments in expanding its vehicle fleet to meet rising demand. However, our analyses showed that the bottlenecks were less about fleet capacity and more about inefficient route planning, warehouse management, and insufficient digitalization of the supply chain.
Solution and Technology Implementation:
Using our AI, ML, and RPA technologies, we:
  • Implemented intelligent route optimization that analyzes traffic flows and dynamically selects the best routes using real-time data and machine learning.
  • Deployed an automated fleet management system that predicts preventive maintenance through AI-powered analysis, significantly reducing downtime.
  • Optimized warehouse management and introduced a just-in-time strategy that minimizes inventory while ensuring delivery capability.
  • Conducted comprehensive supply chain digitalization using IoT sensors and RPA solutions to enable real-time tracking, predictive maintenance, and automated inventory management.
  • Performed customer order analysis to identify less profitable segments and implement targeted measures for margin improvement.
Monetary/Strategic Benefits:
$250 Million
Avoided misguided investments
20% Cost Reduction
Through route and warehouse optimization
30% Revenue Growth
Profit through improved strategies
25% Reduced Delivery Time
More efficient logistics processes
$10 Million Annual Profits
Achieved through optimizations
Agriculture & Agribusiness
Challenge:
Agriculture and agribusiness increasingly face challenges such as climate change, resource scarcity, and demands for sustainable farming methods. Particularly in organic production, precise yield optimization and continuous monitoring of plants and animals are crucial to ensure quality and yields.
Anticipated Poor Decision:
A large organic farming operation planned significant investments in new agricultural machinery without fully considering the benefits of modern monitoring technologies. Our analyses showed that the use of drones and satellite imagery, along with livestock monitoring through modern sensors, represented a significantly more efficient solution.
Solution and Technology Implementation:
Using our AI, ML, and RPA technologies and modern sensors, we:
  • Utilized drone and satellite imagery to continuously monitor the type of seeding and crop conditions, providing targeted recommendations.
  • Implemented an automated livestock monitoring system that analyzes visual data and vital parameters (measured via collars) to continuously monitor the health status and social structure of cattle.
  • Created precise yield forecasting for organic products, enabling the agricultural operation to optimally plan logistics and distribution.
  • Conducted cost structure analysis to identify unprofitable cultivation areas and inefficient processes.
Monetary/Strategic Benefits:
$10 Million
Our intervention helped the agricultural operation avoid a misguided investment.
10% Cost Reduction
Optimization of monitoring processes led to a 10% reduction in operating costs.
$5 Million Annually
Additional profit through improved harvest yields and livestock health.
Long-term Supply Contracts
Successful implementation led to long-term supply contracts for organic products.
Chemical & Process Industry
Challenge:
Companies in the chemical and process industry face complex challenges such as optimizing production processes, complying with strict environmental regulations, and ensuring product quality. Additionally, they must deal with volatile raw material prices and the need to bring innovative products to market quickly to remain competitive.
Anticipated Poor Decision:
A leading company in the chemical industry planned significant investments in expanding its production facilities to increase capacity. However, our analyses showed that inefficient processes and an outdated quality control system were the real bottlenecks. Expanding the facilities would have unnecessarily driven up costs without solving the actual problems.
Solution and Technology Implementation:
Using our AI, ML, and RPA technologies, we were able to:
  • Conduct production process data analysis that revealed inefficiencies and identified optimization potential.
  • Implement a predictive maintenance system based on machine learning that detects potential failures early, minimizing unplanned downtime.
  • Automate quality control and accelerate it through AI-based image analysis, significantly reducing error rates.
  • Perform raw material procurement optimization based on real-time data and price forecasts to buffer cost fluctuations.
  • Develop a sustainable production process that reduces energy consumption while complying with environmental regulations.
Monetary/Strategic Benefits:
$150 Million
Our intervention saved the company from misguided investments in production facility expansion.
12% Cost Reduction
Process optimization led to a 12% reduction in operating costs.
15% Capacity Increase
Production capacity increased by 15% through optimization measures.
30% Less Downtime
Implementation of predictive maintenance and automated quality control reduced downtime by 30%.
$3 Million Annually
Additional profits of $3 million per year were achieved.
$30 Million in Secured Orders
Additional orders worth $30 million were secured.
Construction & Infrastructure Projects
Challenge:
Companies in the construction and infrastructure sector face challenges such as rising material costs, complex planning processes, and strict environmental regulations. Additionally, project delays, inefficient resource planning, and unforeseen risks pose significant financial burdens.
Anticipated Poor Decision:
A major construction company planned extensive investments in additional machinery and personnel to complete a large-scale project on schedule. However, our analyses showed that the true bottlenecks were in inefficient resource planning, imprecise project management, and lack of digitalization in construction processes.
Solution and Technology Implementation:
Through the use of our AI, ML, and RPA technologies and the implementation of a digital twin, we were able to:
  • Create a comprehensive project analysis that identified planning bottlenecks and provided targeted optimization recommendations.
  • Implement a digital project management system based on machine learning that coordinates resources, machinery, and personnel in real-time.
  • Develop an automated risk analysis that detects potential delays early and suggests risk minimization measures.
  • Optimize the use of a digital twin and analysis of cost categories, leading to more precise planning and efficient cost estimates.
  • Conduct a sustainability analysis based on real-time data that identified opportunities to reduce energy consumption and material costs.
Monetary/Strategic Benefits:
$8.7 Million
Our intervention prevented misguided investments in additional machinery and personnel.
20% Shorter Construction Time
The optimization led to a 20% reduction in construction time.
15% Reduced Material Costs
Material costs were reduced by 15%.
$2.2 Million Annually
Additional profit amounts to $2.2 million per year.
$10.9 Million
New projects worth $10.9 million were secured, strengthening market position.
Contact Details
Empowering Today's Challenges with Tomorrow's Facts and Technologies.
Benjamin Stein
CEO
bjs@novumanalytica.com
Dr.
John-Thayne Savee
CSO
savee@novumanalytica.com
Olga Mogilevskaya, MSc.
COO
om@novumanalytica.com
Prof. Dr. Dr.
Rainhard Bengez
CEO
rzb@novumanalytica.com
Novum Analytica GmbH
Kurfürstendamm 194
10707 Berlin
Germany
+49 175 880 2215
Frequently Asked Questions
How quickly can you implement solutions in Kyrgyzstan?
Initial assessments take 2-4 weeks, with phased implementation beginning within 30 days of project approval.
What security protocols protect your AI systems?
Our systems feature beyond military-grade encryption, isolated data environments, and comply with international security standards.
Do you offer knowledge transfer to local professionals?
Yes, comprehensive training for local teams is built into every project, ensuring long-term operational independence.
How do you tailor solutions to Kyrgyzstan's unique needs?
We conduct thorough regional analyses to customize our technologies for local infrastructure and requirements.