Progress in Implementing the European Union Coordinated Plan on Artificial Intelligence (Volume 1): Latvia

Table of contents

• Set enabling conditions for AI development and uptake in the European Union
• Make the European Union the right place: Excellence from lab to the market
• Ensure AI technologies work for people
• Build strategic leadership in priority sectors

The European Union (EU) Coordinated Plan on Artificial Intelligence (AI) is a strategic initiative by the European Commission and EU Member States to promote AI development, investment and co-operation. In 2024, the OECD conducted a survey and interviews to take stock of implementation progress made by the EU Member States in implementing the actions set in the EU Coordinated Plan on AI. Drawing on the information collected, the OECD prepared country notes for each EU Member State. This document presents the country note for Latvia, which summarises key initiatives and implementation progress.

Key messages

• Outdated artificial intelligence (AI) strategy: Latvia’s national AI strategy, launched in 2020, is considered outdated by the relevant authorities. While there is growing recognition of the need for a renewed strategy, AI for now remains integrated into Latvia’s broader Digital Transformation Guidelines for 2021‑2027.

• Investments in data governance and digital infrastructure: Latvia is strengthening its digital ecosystem by developing a national data governance strategy and investing in secure data-sharing platforms like its Data Distribution and Management Platform (DAGR). The country is expanding its role in European Union (EU)-wide semiconductor and high-performance computing (HPC) initiatives, including participation in the Important Project of Common European Interest (IPCEI) on Microelectronics and Cloud Data and plans to join the EU Chips Joint Undertaking to build national expertise in semiconductor development.

• Growing AI-centred research and innovation: Latvia is fostering AI excellence through initiatives such as European Digital Innovation Hubs (EDIHs) and AI Factories Latvia, which support AI adoption in businesses and the public sector. The establishment of the Latvian Artificial Intelligence Centre, backed by legislation, aims to accelerate AI research and ensure ethical, responsible AI deployment.

• Expanding AI skills development and workforce readiness: Latvia is prioritising AI training and digital upskilling across different groups, including women, educators, job seekers and entrepreneurs. AI-focused reskilling programmes and hackathons are fostering AI literacy and innovation.

• Increasing AI deployment in the public sector: Latvia is modernising its public services through AI-powered chatbots, tax automation and AI-assisted decision-making in EU project evaluations. However, most AI adoption remains focused on procedural automation rather than more advanced AI‑driven decision making.

• Emerging health data framework: Latvia is centralising health data governance through the Latvian Digital Health Centre and e-health initiatives. Projects like the Genome Database of the Latvian Population and advancements in personalised paediatric cancer care highlight the country’s focus on leveraging AI for improved health outcomes.

• Evolving small-scale AI-driven sustainability initiatives: AI is being applied in power grid management, waste sorting and smart energy solutions, supporting climate resilience and energy efficiency. However, most projects are localised and experimental.

• Niche and experimental efforts for AI in agriculture and forestry: While AI is being tested in automated weeding, precision forestry management and bioeconomy strategies, these initiatives are largely driven by start-ups and research projects, with limited state-driven investment in AI-powered agricultural innovation. AI’s potential in sustainable farming, livestock management and precision irrigation remain largely untapped.

Set enabling conditions for AI development and uptake in the European Union

Acquire, pool and share policy insight

In February 2020, the Latvian government introduced its national AI strategy on Developing artificial intelligence solutions (Government of Latvia, 2020[1]). The strategy outlined six key pillars to foster AI adoption across the economy, with a particular focus on integrating AI into public administration: i) raising awareness and improving competencies in AI through education reforms; ii) promoting the adoption and development of AI in both public and private sectors; iii) actively engaging in national and international co‑operation; iv) developing a robust legal and ethical framework for AI; v) creating a well-developed data ecosystem; and vi) investing in digital and telecommunication infrastructure to support AI advancements.

While the implementation of the 2020 AI strategy was intended to be monitored and evaluated regularly, no formal reviews have been conducted to date. With this strategy now considered outdated by Latvian authorities, there is increasing recognition of the need for a renewed and comprehensive AI strategy. In the interim, AI continues to play a significant role in Latvia’s Digital Transformation Guidelines 2021-2027 (Government of Latvia, 2020[2]), particularly in public sector digitalisation. Key areas include language technologies and machine translation, healthcare and digital transformation research and development. For the private sector, AI initiatives are guided by the Ministry of Economics’ National Industrial Policy, which prioritises AI alongside other technological areas such as bioeconomy and information and communication technology (ICT).

The Ministry of Smart Administration and Regional Development (Viedās administrācijas un reģionālās attīstības ministrija, VARAM) serves as the leading entity for the governance and implementation of AI strategy and policy initiatives. To enhance co‑ordination, VARAM is currently building a coalition that unites public administration, academia, industry and the private sector. As part of these efforts, it has proposed the creation of a Latvian Artificial Intelligence Centre, which is envisioned as a central hub to co‑ordinate AI initiatives and foster collaboration among stakeholders.

To further strengthen AI development in Latvia, the Latvian Association of Artificial Intelligence (MILA) was established in 2024. MILA aims to promote AI education, support the training of high-level specialists and enhance public understanding of AI, particularly among young people (MILA, 2025[3]). It also seeks to foster collaboration between academia, public administration and industry, facilitating the development and export of AI solutions by Latvian enterprises. Through these efforts, MILA plays a key role in advancing AI adoption and ensuring the safe and responsible application of AI technologies in Latvia.

Tap into the potential of data and foster critical computing capacity

Latvia is strengthening its digital and AI ecosystem through targeted investments in data governance, semiconductor development and language technologies. The country is enhancing data accessibility and interoperability by developing a comprehensive governance framework and expanding secure data‑sharing infrastructure to streamline public sector operations and support emerging digital initiatives. Efforts to advance AI and language technology capabilities focus on specialist training, research and fostering EU autonomy in key digital sectors. In the semiconductor industry, Latvia is working to build national expertise and align with EU-wide innovation efforts through collaborative projects and funding commitments.

Table 1. Set enabling conditions for AI development and uptake in the European Union: Key initiatives

Name	Start year*	Short description (main goals)	Funding (including EU funding use)
Centre of Excellence for Language Technologies (CELT)	Not reported	The CELT focuses on training specialists in language computing technologies, creating advanced digital skills modules and developing innovative solutions in this field. It also supports the production of scientific publications and contributes to impactful projects, such as Tilde’s award-winning AI tools (LSM, 2024[4]).	EUR 5 million per annum + EUR 140 000 from the state budget
Data Dissemination and Management Platform (DAGR)	In development	DAGR is a next-generation data exchange and governance platform enabling secure data sharing across government, business and citizen interactions. It will consolidate all government data sources into a single access point by 2030, streamlining public sector operations and reducing administrative burdens. The platform will also support emerging digital initiatives such as the EU Digital Identity Wallet and AI training.	EUR 4.5 million
Chips Joint Undertaking (JU)	Planned for 2025	Latvia plans to join the Chips JU and establish a national semiconductor competence centre. The initiative aims to strengthen the national semiconductor ecosystem and is supported by multi-year co-funding.	EUR 745 000 per annum (50% co‑funding)
Important Project of Common European Interest (IPCEI) Microelectronics, IPCEI Cloud Data and IPCEI Health membership	2021	Latvia participates in IPCEI working groups on microelectronics, cloud data and health to advance innovative technologies and meet digital and green goals. EU Recovery and Resilience Facility (RRF) funding supports these projects.	EUR 31 million
Memorandum of understanding (MoU)	2022	Signed by 12 partners during the 5G Techritory event, the MoU aims to establish a partnership for developing Latvia’s semiconductor ecosystem. It is co‑ordinated by Riga Technical University and open to international collaborators. Since December 2024, 5 additional partners have signed the MoU. The MoU of a total of 17 partners aims to establish a partnership for developing Latvia’s semiconductor ecosystem.	Not reported
National Data Governance Strategy	In development	Latvia is currently drafting its first National Data Governance Strategy, which aims to cover various dimensions of data governance, including technical, semantic, legal and organisational aspects.	Not reported
Open Data Action Plan	2025	Building on the Digital Transformation Guidelines for 2021‑2027 (Government of Latvia, 2021[5]), this initiative is aimed at updating Latvia’s approach to open data management in order to enhance data access and usage for societal and economic benefits.	Not reported

Make the European Union the right place: Excellence from lab to the market

Latvia is strengthening its AI ecosystem by fostering collaboration between public institutions, businesses and research centres. Investments focus on AI research, business process automation and sector-specific AI applications, with national centres and digital innovation hubs driving adoption. The country also prioritises international partnerships and supports AI commercialisation, accelerating technology transfer and market readiness.

Table 2. Make the European Union the right place: Excellence from lab to the market: Key initiatives

Name	Start year (period covered)	Short description (main goals)	Funding (including EU funding use)
AI Factories Latvia	In progress (2025)	AI Factories Latvia aims to drive AI innovation by supporting start-ups and established companies in developing and commercialising new AI products and services. A core focus is the creation of large language models (LLMs) tailored to regional languages to enhance translation, content creation and communication technologies. Additionally, the initiative supports digital twin projects to strengthen cybersecurity and regional security simulations.	Not reported
European Digital Innovation Hubs (EDIHs)	2022(-26)	Latvia is home to two EDIHs, which focus on accelerating AI adoption. First, the Digital Accelerator of Latvia (DAoL) specialises in AI research and digital product development. Second, the Latvian Digital Innovation Hub (EDIHLV) has established an Applied AI Knowledge Centre to analyse business processes and model AI implementation benefits. These hubs support AI-driven manufacturing, business process automation and municipal digital transformation through training and best practices (DIH, 2022[6]).	DAoL: EUR 6.77 million (DEP: EUR 1.77 million, RRF: EUR 5 million); EDIHLV: EUR 6.46 million (DEP: EUR 1.46 million, RRF: EUR 5 million)
Information and Communication Technology Competence Centre for Digitisation	2025	This research-driven initiative aims at advancing AI applications across different sectors. Key projects include: i) developing AI-driven governance solutions for software supply chain security; ii) using AI to optimise retail discounts and stock management; and iii) AI/machine learning-driven analysis and classification of user-generated digital content to improve decision making in digital environments (ITKC, 2025[7]).	EUR 4.2 million
Latvian Artificial Intelligence Center	2024	Established through the Law on the Development of Artificial Intelligence, the centre aims to advance AI adoption in Latvia by fostering collaboration between the public sector, private sector and universities. Its objectives include pooling resources to drive AI innovation, supporting high-potential AI initiatives aligned with national interests, enhancing public AI literacy and access, and ensuring ethical, responsible AI use. The centre is expected to play a key role in AI research, education and policy development (State Chancellery of Latvia, 2024[8]; Republic of Latvia, 2024[9]).	Not reported
Memorandum with the Artificial Intelligence Center Hamburg (ARIC)	2024	This partnership between Latvia’s Riga Technical University, Riga Business School, and the Latvian IT Cluster with ARIC aims to enhance digital innovation in the logistics sector through AI. The collaboration focuses on advancing AI applications in supply chain management, automation and optimisation while strengthening cross-border research and technology deployment (Labs of Latvia, 2024[10]).	Not reported

Ensure AI technologies work for people

Nurture talent and improve the supply of skills necessary to enable a thriving AI ecosystem

Latvia is implementing a range of initiatives to ensure that AI technologies benefit society by fostering AI literacy, supporting digital upskilling and addressing potential risks associated with AI adoption. Several programmes focus on equipping different demographic groups with AI-related knowledge and skills. AI training initiatives specifically target educators, unemployed individuals, job seekers and entrepreneurs, ensuring that AI literacy reaches a broad spectrum of society. Other efforts promote women’s participation in AI, interdisciplinary co‑operation and AI-driven innovation through hackathons. Additionally, Latvia is addressing AI ethics and governance through research on algorithmic bias and discrimination, aiming to develop safeguards against AI-related risks. The country is also taking steps to align its labour market with the digital and green transitions, helping businesses adapt to AI and digitalisation.

Table 3. Ensure AI technologies work for people: Key initiatives

Name	Start year	Short description (main goals)	Funding (including EU funding use)
AI Essentials	2024	This beginner-friendly course, developed by Google.org and implemented by Riga TechGirls, aims to help women harness AI to enhance productivity and efficiency in their daily tasks. The course provides practical AI tools and knowledge, enabling participants to integrate AI into their professional and personal activities (Riga TechGirls, 2025[11]).	Not reported
AI in Social Sciences	Not reported	This study course is designed for educators and aims to introduce them to the fundamentals of AI and its applications in the fields of humanities and education. The course provides an overview of AI as a subfield of computer science, focusing on problem solving, machine learning, data representation and decision making. The goal is to equip educators with the necessary knowledge to incorporate AI concepts into their teaching (RTU, 2025[12]).	Not reported
AI-Empowered Teaching: Unlocking the Future of Digital Education for Teachers (AI-EmpaTe)	2024	This international project aims to enhance the AI-related competencies of educators by developing online training modules tailored for teacher education students and professional development programmes for primary and secondary school teachers. Running until 2026, the project is a collaboration between institutions from Czechia, Israel and the Slovak Republic, and seeks to equip educators with the necessary skills to integrate AI technologies into their teaching practices (Labs of Latvia, 2024[13]).	Not reported
AI-related training courses in the State Employment Agency’s reskilling and upskilling training programmes	2023	This initiative provides AI-related training courses as part of Latvia’s broader reskilling and upskilling efforts. Training options include online courses via Google AI Basics, ICT training programmes based on Level 4 of the EU’s Digital Competence Framework for Citizens (DigComp) and short AI-focused courses 8 to 80 hours’ long. The programme targets unemployed individuals, job seekers and people at risk of unemployment, aiming to improve their employability through the development of digital and AI skills (Republic of Latvia, 2020[14]).	EUR 28.71 million from the RRF, EUR 1.44 million from the national budget
First Baltic AI Hackathon	2024	This hackathon brought together students from various fields to work on generative AI solutions aimed at addressing challenges in education, social inclusion, sustainability and public services. Participants collaborated with institutions such as Riga Stradiņš University, the University of Tartu, the Latvian State Radio and Television Center and the Central Finance and Contracting Agency. The event provided an opportunity to foster innovation and encourage interdisciplinary co‑operation in AI development (RTU, 2024[15]).	Not reported
Latvian Employers for Green and Digital Transition	2023	This initiative, implemented by the Employers’ Confederation of Latvia (LDDK) in collaboration with BusinessEurope, supports businesses in adapting to digitalisation and the green transition. The project strengthens industry awareness of digital and sustainability-related policies and aligns Latvia’s labour market with EU-level initiatives such as the European Green Deal. The programme also aims to improve employer capacity in implementing digital and green policies (LDDK, 2023[16]).	EUR 650k
Research on AI systems and discrimination aspects	2024	This research study examines the risks of AI-related discrimination and the adequacy of Latvia’s legal and regulatory framework in addressing algorithmic bias. The study analyses the impact of AI systems on various demographic groups, including gender, disability, race, ethnicity, social status, age and sexual orientation. It also provides an overview of international best practices and offers recommendations for mitigating AI-driven biases in decision-making processes (Ombudsman of Latvia, 2024[17]).	Not reported
Skills for entrepreneurs	2023	This initiative provides training for micro, small, medium and large enterprises to help businesses acquire digital transformation competencies. The programme covers skills in robotics, automation, AI, and high-level digital governance, enabling businesses to leverage digital technologies in their operations. A key focus of the programme is to enhance the digital skills of Latvian entrepreneurs to strengthen competitiveness and innovation, particularly in export-driven sectors (Ministry of Economics of Latvia, 2025[18]).	RRF total budget: EUR 16.48 million (Phase 1: EUR 11.55 million; Phase 2: EUR 4.94 million)

Box 1. In focus: The Latvian Artificial Intelligence Centre

Latvia is establishing the Latvian Artificial Intelligence Centre (NMIC) as a central hub for AI development, co‑ordination and risk management. The initiative is anchored in the recently developed Law on the Development of Artificial Intelligence, which defines the centre’s governance, funding and strategic priorities. Positioned at the intersection of academia, industry and public administration, the NMIC aims to strengthen Latvia’s AI ecosystem, drive innovation and ensure responsible AI adoption.

The NMIC’s core mission is twofold: i) accelerating the deployment of AI in key sectors such as public administration, healthcare, education and internal security; and ii) mitigating AI-related risks, particularly in areas concerning democracy, privacy and human rights. A key priority is ensuring the presence of Latvian language in LLMs, supporting SMEs in harnessing AI for growth and innovation, and fostering cross-sectoral co‑operation.

Structurally, the NMIC will operate as a foundation with a governing board, director and secretariat, the latter provided by the States Digital Affairs Agency. The centre will function as a research and implementation body, providing pilot initiatives, solutions and strategic guidance for AI adoption across government and industry. It will also establish international partnerships and develop policies for the trustworthy and secure use of AI.

By bridging policy, research and application, the NMIC is set to play a pivotal role in shaping Latvia’s AI trajectory, ensuring both technological competitiveness and ethical oversight in an evolving digital landscape.

Sources: State Chancellery of Latvia (2024[8]), Mākslīgā intelekta attīstības likums, https://tapportals.mk.gov.lv/legal_acts/0a81b414-03dc-4773-99b3-d9cad5f0579d#; Republic of Latvia (2024[9]), “Cabinet of Ministers supports the establishment of the National Centre for Artificial Intelligence”, https://www.varam.gov.lv/en/article/cabinet-ministers-supports-establishment-national-centre-artificial-intelligence.

Build strategic leadership in priority sectors

Latvia is integrating AI across key sectors to enhance efficiency, sustainability and innovation. In climate and environment, AI-driven solutions are improving energy management, waste sorting and power grid resilience, with projects supporting real-time predictive analytics and optimised resource use. The health sector is leveraging AI for disease diagnostics, personalised treatment and healthcare system efficiency, including AI-powered virtual assistants, predictive patient scheduling and precision medicine initiatives. Public sector modernisation efforts focus on AI-driven administrative efficiency, digital services and tax administration, alongside strategic partnerships with major technology companies. In mobility, AI applications in traffic monitoring, smart lighting and winter road maintenance are enhancing urban infrastructure and road safety. Agriculture and forestry benefit from AI-powered solutions that automate weeding, optimise forestry management and improve bioeconomy strategies.

State of AI in healthcare

Latvia’s health data governance framework, embodied by the national e-health project, began development in 2003, with a formal implementation strategy in 2006 (Bikava and Kreituse, 2019[19]). This framework governs electronic health record systems and personal data processing to ensure secure, patient-centred health information management through the e-health portal, which became mandatory in 2018 (E-veseliba, 2024[20]). Its priorities include improving data accessibility, enhancing patient care through data-driven decision making, and establishing compliance with EU health data standards. This project is ongoing, as data storage is not standardised across the 19 state information systems and 7 health registries overseen by the Ministry of Health (RSU, 2024[21]). Latvia’s health system governance is largely centralised under the control of the Ministry of Health, which continues to work on strengthening the digital health infrastructure for improved patient outcomes and national healthcare access, focusing on building the data foundation, a necessary condition or AI development (Latvian Public Broadcasting, 2023[22]).

To unify and streamline data handling, Latvia is establishing the Latvian Digital Health Centre, tasked with managing the e-health system and progressively centralising technical management of state health information systems by 2027. This initiative aims to enhance data quality, accessibility and interoperability across health services, with a strong focus on secondary health data processing (Labs of Latvia, 2024[23]).

One of Latvia’s key priorities, both nationally and within the EU framework, is the fight against cancer. To support this, the country is developing a cancer registry to systematise cancer data, ensuring it aligns with future developments in healthcare (Aiga Balode and Ieva Bikava, 2024[24]). In addition, Latvia is transforming its Center for Disease Prevention and Control into the primary authority responsible for managing all health data, streamlining oversight and co‑ordination (Bikava and Kreituse, 2019[19]). Moving forward, Latvia’s main priority is to centralise health data management, focusing on organising fragmented data systems and refining secondary data processing capabilities. Anticipated challenges include ensuring comprehensive data integration across decentralised systems and addressing evolving technological demands within the healthcare sector (Bikava and Kreituse, 2019[19]).

Table 4. Build strategic leadership in priority sectors: Key initiatives

Name	Start year (period covered)	Short description (main goals)	Funding (including EU funding use)
Climate and environment
Development of a new big-data-driven overhead power grid pre-storm damage prediction system	2024	This initiative focuses on developing a modular, scalable AI-powered system to predict overhead power grid damage caused by storms. Machine learning algorithms will provide real-time forecasts of potential failures in medium- and low-voltage power grids, enabling proactive decision making by grid operators to prevent power outages (Sadales tīkls, 2025[25]).	EUR 607 000 (including EUR 356 000 from the RRF)
Artificial Intelligence for Next Generation Energy (I-NERGY)	2021	This AI-driven analytical tool supports integrated, optimised and smart energy management by facilitating data exchange and unifying energy-related information. The tool enhances energy efficiency and improves predictive capabilities in energy management (REA, 2021[26]).	EUR 5.59 million (including EUR 4.99 million from Horizon 2020)
Swiss-Latvian Cooperation Programme – Pre‑defined Programme Component in ICT and Smart Energy	2025(-29)	This programme supports research and innovation in smart grids and energy storage. AI-enabled tools and models for real-time dynamic stability assessment of the Baltic electricity grid will be developed, alongside improved materials for energy storage and hydrogen production. The initiative is implemented by the Institute of Solid State Physics of the University of Latvia in collaboration with other national research institutions.	EUR 1.57 million
WinGo Deposit	2020	This waste sorting facility uses machine vision and neural network technology to process various recyclable materials, including polyethylene terephthalate (PET) and glass bottles, metal cans, tetra packs and batteries. Future developments aim to expand processing capabilities to include additional waste types such as shampoo bottles (Labs of Latvia, 2023[27]).	EUR 200 000
Health
Advancement of paediatric cancer care	2024	In collaboration with Switzerland, Latvia is working on improving the approach to diagnosis and personalised treatment by creating a monitoring system for long-term support of children with cancer. In the future, this system will also be developed for adult oncological and rare disease. This project uses advanced genetic diagnostics and AI to analyse patient data and create personalised treatment plans for patients (Ministry of Finance of Latvia, 2024[28])	EUR 1.4 million
Artificial Intelligence Diagnostic Assistant (AIDA) for Detecting Stomach Inflammation	2023(-26)	This AI-powered diagnostic tool supports doctors in identifying precancerous stomach inflammation and developing personalised treatment strategies. The system enhances early detection of gastric cancer and provides tailored recommendations for patient health monitoring. Researchers from the University of Latvia are training AI models to recognise cancer cells with an accuracy of 92%. The project involves 15 partners from eight EU countries and aims to integrate AI diagnostics into hospital settings (AIDA, 2025[29]).	EUR 755 000
AI-powered medical chatbot	2023	This first AI-driven virtual assistant for a medical institution in the Baltics provides real-time responses to patient inquiries, offering information on doctor schedules, appointment availability, medical procedures, pricing and hospital navigation. The chatbot processes 70‑100 inquiries daily and is designed to improve patient communication and accessibility (Rīgas 1.slimnīcā, 2025[30]).	Not reported
Latvian Digital Health Centre	2024	The management of digital development in the health sector was transferred to the new Latvian Digital Health Centre in September of 2024. The establishment of the digital competence centre for the health sector, backed by government support, will propel the evolution of digital health (Labs of Latvia, 2024[31]).	Not reported
Genome Database of the Latvian Population	2024	The Latvian portion of the project aims to create a reference genome using 3 500 samples from Latvian residents. This will contribute to a broader European initiative to build a reference genome database representing genetic variation across at least 500 000 citizens (researchLatvia, 2024[32])	EUR 303 000
“Implementation of a solution to reduce the number of “was not brought” (WNB) and no-show patients in the hospital” pilot project	2024	This AI solution aims to optimise outpatient scheduling by predicting and reducing patient no-shows. The system will enable better appointment management for chronic patients and improve access to healthcare services. The project is part of Latvia’s national healthcare digitalisation efforts (BKUS, 2024[33]).	EUR 336 000
Public sector
AI in the evaluation of EU projects	2024	This study assesses the applicability of generative AI for analysing procurement documentation related to EU-funded projects. It evaluates AI solutions’ technological readiness, quality and accuracy in text analysis and response generation in Latvian, aiming to develop recommendations and test AI prototypes for public sector applications (CFLA, 2024[34]).	EUR 110 000
AI in updating cadastral data	2020	AI is used to improve the accuracy of cadastral data by updating national records on buildings. The system reduces administrative burden and reliance on property owners for data updates, ensuring more efficient and resource-effective land and property management (State Land Service of Latvia, 2020[35]).	Not reported
AI virtual assistant/ chatbot network	2021	This initiative aims to create a unified and centralised platform for managing government institutions’ websites, improving public access to information and ensuring compliance with accessibility requirements under Directive 2016/2102. The platform enhances resource efficiency through a unified content management system and integrates 55 public authorities into a single system (Cabinet of Ministers of Latvia, 2024[36]).	EUR 2.67 million (including EUR 2.27 million by the ERDF)
AI4Citizens	2024(-28)	This project focuses on AI adoption in local and regional governments, addressing both opportunities and challenges. It aims to improve public services, enhance governance efficiency and mitigate risks related to AI in municipal administration, such as security, ethics and trust. The initiative supports responsible AI governance in cities and regions (Riga City Council, 2024[37]).	EUR 1.76 million (including EUR 1.41 million from the ERDF)
Artificial Intelligence in Preparing Responses to Taxpayer Inquiries	Not reported	This pilot project explores AI applications in tax administration by using AI tools to generate responses on labour taxes and related topics, such as income tax, payroll deductions and state social insurance contributions. The goal is to improve response efficiency and accuracy in handling taxpayer inquiries (VID, 2024[38]).	EUR 6.5 million
E-course for Basic Competence Level in AI for Public Administration Employees	Spring 2025	This foundational AI training programme for 1 000 public administration employees is structured into four modules: i) introduction to AI; ii) AI concepts and applications; iii) AI issues and ethics; and iv) future and practical use of AI. It aims to improve AI literacy in public administration and encourage AI adoption in government services.	Digital Academy of Public Administration project - total funding EUR 8.25 million from the RRF
Memorandum of Understanding (MoU) with Microsoft	2024	A strategic partnership has been established between Microsoft and the Ministry of Economics, the Ministry of Smart Administration and Regional Development, the Investment and Development Agency of Latvia (LIAA) and the State Digital Development Agency. The MoU focuses on establishing a Latvian Artificial Intelligence Centre and accelerating digital transformation in public administration to enhance service delivery and efficiency (Republic of Latvia, 2024[39]).	Not reported
Mobility
3VisionD	Not reported	This AI-powered video analytics system processes video streams from multiple cameras to detect objects and determine their locations in real-world three-dimensional co‑ordinates. The system can be applied to various Smart City applications, including traffic and parking management, urban planning and harbour monitoring. It enables automated parking violation detection, occupancy tracking and adaptive street lighting based on real-time human presence in parking areas (3VisionD, 2025[40]).	Not reported
LMT Traffic Monitoring Tool	Not reported	This AI-powered traffic monitoring system uses EU General Data Protection Regulation-compliant video technology and machine vision to provide real-time data on traffic intensity and road users. It can also detect common traffic violations, such as running red lights, improper use of public transport lanes, illegal turns and stopping in intersections. The system enhances road safety and supports traffic management efforts (LMT, 2025[41]).	Not reported
Smart LED Lights	2023	AI-powered smart lighting solutions are deployed in Latvian cities to monitor and detect traffic violations. The system records incidents such as crossing intersections at a red light, improper use of public transport lanes, unauthorised stopping at junctions and non-compliance with traffic signals. These insights contribute to traffic law enforcement and urban mobility management.	Not reported
Winter Road Maintenance Using AI in Kuldīga Municipality	2023	This AI-driven solution assesses the condition of roads in real time and predicts necessary road maintenance actions. It provides an interactive map for municipalities to visualise AI-generated recommendations and facilitates collaboration between local authorities and road maintenance providers, improving efficiency in winter road upkeep (Labs of Latvia, 2023[42]).	EUR 716 000 (including EUR 477 000 from the ERDF)
Agriculture/forestry/rural development
Baltic Satellite Service project ML4HealthyForest	Not reported	This project develops a fully automated AI-powered service that provides objective forest management and thinning recommendations. By leveraging remote sensing data, machine learning and automated forest growth models, the system enables data-driven decision making for sustainable forestry practices (Forestradar, 2025[43]).	EUR 362 000 (including EUR 289 000 from the ERDF)
Bioeconomy Strategy for Research and Innovation	In development	The LIAA, in collaboration with different stakeholders, is developing a knowledge-intensive bioeconomy strategy for research and innovation. This strategy integrates aspects of digitalisation within the sector, including the application of AI. The strategy is accompanied by an action plan with defined timelines (LIAA, 2024[44]).	Not reported
Development and implementation of automated nursery plant thinning and weeding technology	2024	This AI-powered smart weeder uses advanced object-recognition technology to identify and remove unwanted plants with precision. The automated solution enhances efficiency, reduces labour costs and supports sustainable farming by minimising the need for chemical herbicides.	Business incubator grant: EUR 110 000
WeedBot	2020	This AI-driven agricultural tool uses high-resolution imaging and laser technology to distinguish crops from weeds. By applying concentrated light or laser beams, the system removes weeds without damaging crops, reducing reliance on chemical herbicides and enabling more sustainable farming practices (Weedbot, 2025[45]).	Over EUR 800 000 in investments

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