Fund Program
Approved by decision of the Supervisory Board on October 1, 2025
I. General Provisions
1. Program name
- Program of the Public Foundation for the Development of Artificial Intelligence and the Digital Economy in the Kyrgyz Republic (AIDE).
2. Legal status of the Foundation
- Public Foundation “Development of Artificial Intelligence and the Digital Economy,” registered in accordance with the legislation of the Kyrgyz Republic, registration number: 316206-3301-OF; legal address: Kyrgyz Republic, Bishkek, 102 Isanova St., non-residential premises 1.
3. Legal basis
- Law of the Kyrgyz Republic “On Non-Profit Organizations”;
- Law of the Kyrgyz Republic “On Patronage and Charitable Activities”;
- Law of the Kyrgyz Republic “On Virtual Assets”;
- Charter of the Public Foundation “Development of Crypto-Infrastructure and the Digital Economy”;
- International standards in the field of non-profit organization governance.
4. Implementation period
2025–2030 (with the possibility of extension based on an interim effectiveness assessment).
5. Geography of implementation
- The Kyrgyz Republic, including partnerships with international organizations and participation in global initiatives in the field of the digital economy and artificial intelligence.
II. Goal and Objectives of the Program
Main goal
To build a comprehensive ecosystem of the digital economy and artificial intelligence in the Kyrgyz Republic aimed at developing scientific research, innovation, technology entrepreneurship, and human capital, including:
- Support for fundamental and applied research in artificial intelligence, machine learning, data processing, cybersecurity, blockchain technologies, financial technologies, and other directions of the digital transformation of the economy.
- Creation of an educational and talent base — development of training, retraining, and upskilling programs in digital technologies, including joint programs with universities, tech parks, and international educational organizations.
- Development of innovation infrastructure — establishment of research centers, laboratories, data hubs, open data platforms, and sandboxes for testing AI and digital services.
- Formation of grant, investment, and venture support mechanisms for scientific, educational, and entrepreneurial initiatives aimed at developing and implementing digital solutions in priority sectors of the economy.
- Facilitation of technology commercialization — support for startups and innovative enterprises, and the creation of commercial structures implementing AI-, blockchain-, and platform-based solutions in the public and private sectors.
- Development of crypto-infrastructure and digital financial instruments — promotion of safe and regulated digital platforms, asset tokenization, digital payment systems, and other components of the digital economy in accordance with the legislation of the Kyrgyz Republic.
- Development of international cooperation — establishing partnerships with foreign foundations, research centers, technology companies, and international organizations to exchange experience, attract investment, and participate in international science and technology projects.
- Integration of digital solutions into the country’s socio-economic development — promoting the digitalization of education, healthcare, agriculture, transport, public administration, and other sectors of strategic importance for sustainable growth, including entrepreneurship support.
- Promotion of a responsible digital environment based on principles of digital ethics, openness, and sustainability, including personal data protection, social inclusion, environmental sustainability, and compliance with international standards in the implementation of AI, blockchain, and crypto-economy solutions.
Key objectives
- Create an educational and research base in AI and digital technologies.
- Develop grant and acceleration programs for startups.
- Support science and technology initiatives aimed at automation and digitization of the economy.
- Build digital infrastructure (blockchain platforms, data centers, analytics labs).
- Advance international cooperation and integrate Kyrgyz specialists into the global digital economy.
- Establish commercial structures and projects that introduce AI and digital solutions into the real sector of the economy.
III. Main Areas of Implementation
1. Education
- Organize courses, online programs, and schools in AI, machine learning, blockchain, and cybersecurity.
- Create internship and international exchange programs.
- Develop open educational resources and methodological materials.
2. Grants and Acceleration
- Grant competitions for research, prototyping, MVPs, and deployment of AI solutions.
- Accelerators and incubators for technology startups.
- Mentorship and investment support systems.
3. Research
- Establish AI, data science, and robotics laboratories.
- Partner with universities and tech parks.
- Develop joint projects with government bodies (e.g., digitalization of public services, data analytics, predictive models).
4. Infrastructure
- Build a national AI sandbox (regulatory and technological).
- Develop and implement open APIs, data hubs, and blockchain infrastructure.
- Promote the establishment of data centers and cloud platforms in the Kyrgyz Republic.
5. Commercialization and Ventures
- Support the creation of subsidiary and affiliated commercial structures of the Foundation.
- Investment and venture mechanisms (private equity funds, SPVs).
- Attract international partners and technology companies.
- Create and develop commercial organizations and business structures implementing projects and initiatives within the Foundation’s areas of activity.
IV. Implementation Mechanisms
1. Operational structure
- Supervisory Board (strategic management, approval of directions).
- Executive Directorate (operational management, project coordination).
- Expert Councils (evaluation of grant applications, accreditation of educational programs).
- Finance and Audit Group (control over targeted use of funds).
2. Funding sources
- Voluntary contributions, donations, targeted grants;
- Funds from international organizations and foundations;
- Income from commercial structures created by the Foundation;
- Government subsidies and co-financing (if available).
3. Grant funding mechanism
- Annual competitions in the areas of education, research, startups, and infrastructure.
- Transparent competitive selection using digital accounting and audit tools.
- Monitoring effectiveness and mandatory reporting by grantees.
V. Effectiveness Assessment and Reporting
1. Key Performance Indicators (KPIs)
A. Education and talent development
- Number of developed and implemented educational programs, courses, and trainings;
- Number of trained specialists, teachers, and civil servants;
- Number of certificates issued;
- Number of educational institutions and professional organizations that have introduced digital and AI components into the learning process.
B. Innovation, startups, and grant support
- Number of supported startups and innovation projects;
- Number of acceleration and incubation programs conducted;
- Number of grants and subsidies issued;
- Average funding per project;
- Number of projects reaching commercialization (product, service, license);
- Number of joint projects with international investors and foundations.
C. Research and development
- Number of research projects launched and completed;
- Number of publications, patents, and open datasets;
- Number of research laboratories and centers created;
- Participation in international scientific consortia and conferences.
D. Infrastructure development
- Number of created or modernized data centers, labs, and platforms;
- Number of implemented open APIs and data hubs;
- Number of pilot zones and sandboxes launched;
- Indicators of performance, reliability, and information security of infrastructure.
E. Commercialization and investments
- Volume of attracted private and venture investments;
- Number of created commercial structures and SPVs;
- Revenue of portfolio projects and enterprises;
- Number of international partnerships and contracts concluded.
2. Reporting and transparency
- Annual reports on program implementation with KPIs and financial statements;
- Publication of audit results and public presentation of outcomes;
- Open registries of grants, projects, and partners.
VI. Expected Outcomes
- Formation of a sustainable ecosystem of AI and the digital economy in the Kyrgyz Republic;
- Increased human capital and development of a national school of AI and digital technologies;
- Growth in the number and quality of startups, research projects, and commercial initiatives;
- Development of national infrastructure for data, AI, and blockchain;
- Strengthening international cooperation and integration into the global digital economy;
- Increase in the share of the digital economy in GDP and improvement of the efficiency of public administration and the real sector.
VII. Risk Management
1. Financial and operational risks
Possible manifestations
- Insufficient funding or delays in financing;
- Inefficient use of resources;
- Project delays or failures due to poor planning or execution.
Mitigation measures
- Diversification of funding sources and creation of reserve funds;
- Regular internal audits and monitoring of budget execution;
- Strict project management and control over deadlines and quality;
- Gradual scaling through pilots and phased implementation.
2. Technological and project risks
Possible manifestations
- Unsuccessful pilot projects or solutions not reaching practical implementation;
- Low interoperability of developed systems and standards;
- Technology obsolescence or duplication of efforts.
Mitigation measures
- Selection of projects based on expert review and market analysis;
- Use of open standards and modular architectures;
- Regular technology reviews and updates of roadmaps;
- Collaboration with international experts and companies.
3. Reputational risks
Possible manifestations
- Negative publications or public distrust toward the Foundation’s activities;
- Violations of transparency principles or conflicts of interest;
- Errors in the selection of partners or projects.
Mitigation measures
- Open communication with the public and publication of reports;
- Adherence to ethics, anti-corruption policies, and internal controls;
- Preliminary due diligence of partners and projects for alignment with the Foundation’s charter goals;
- Prompt response to public inquiries and claims.
4. Technological and cyber risks
Possible manifestations
- Technical failures of digital platforms;
- Data leaks or cyberattacks;
- Use of outdated technologies or incompatible solutions.
Mitigation measures
- Adoption of modern information security standards;
- Regular software updates and data backups;
- Cyber audits and vulnerability testing;
- Assigning a responsible specialist for cybersecurity and data protection.
5. Legal and regulatory risks
Possible manifestations
- Changes in legislation in the field of digital assets and AI;
- Difficulties in registering commercial structures and international partnerships;
- Non-compliance of projects with licensing or compliance requirements.
Mitigation measures
- Legislative monitoring and ongoing engagement with regulators;
- Involving legal experts to support projects;
- Development of internal compliance policies;
- Flexible adaptation of the Foundation’s activities to new legal requirements.
6. Social and HR risks
Possible manifestations
- Shortage of qualified specialists in digital technologies;
- Low motivation or insufficient digital literacy among the population;
- Potential public resistance to new technologies.
Mitigation measures
- Educational and outreach campaigns;
- Programs to support young specialists and mentorships;
- Promotion of ethical standards for the use of digital technologies;
- Partnerships with universities and staffing centers.
7. Political and external risks
Possible manifestations
- Changes in state political priorities;
- Impact of the international environment and sanctions regimes;
- Restricted access to international grants or technologies.
Mitigation measures
- Maintaining the Foundation’s neutral and apolitical status;
- Geographic diversification of partnerships and projects;
- Building long-term relations with various government bodies;
- Creating alternative channels for cooperation with international organizations.
8. Environmental and ESG risks
Possible manifestations
- Increased energy consumption of data centers and IT infrastructure;
- Absence of “green” standards in project implementation;
- Negative impact on the environment or social inequality.
Mitigation measures
- Applying sustainability (ESG) principles during project planning;
- Use of energy-efficient technologies and renewable energy sources;
- Environmental impact assessments (EIA);
- Inclusion of environmental and social criteria in grant competitions.
VIII. Final Provisions
- The Program is approved by the decision of the Foundation’s Supervisory Board.
- Implementation is carried out on the basis of annual plans and budgets.
- Amendments to the Program are made by the Foundation’s Supervisory Board.
