Important update, 24 August 2026: EIS opened its Artificial Intelligence Adoption Grant on 24 August at 9:00. By 11:15, EIS had announced that the amount requested in applications being processed exceeded the remaining budget and that applications would close at 16:00 on the same day. If you are reading this article after that time, check the current status on the EIS website.
The €2 million EIS measure for testing and adopting artificial intelligence solutions was effectively fully subscribed within a few hours. That says more about demand for AI investment than any trend report could.
However, the rapid exhaustion of one call does not mean that an AI project has no route to funding. Estonia has several other measures that can support software integration, process automation, prototype development, applied research or bringing a new AI product to market. More ambitious projects can also consider Eurostars, the EIC Accelerator and sector-specific Digital Europe calls.
In our view, funding measures should not be compared by grant size alone. The more important questions are how mature the project is and whether the goal is to improve an internal workflow or develop a new product that can be sold to customers.
What did the EIS Artificial Intelligence Adoption Grant fund?
The Artificial Intelligence Adoption Grant provides a fixed grant of €20,000 with 20% co-financing from the applicant. The applicant must be a company registered in Estonia with revenue of at least €200,000 in the previous financial year.
The measure supports two main types of project:
- developing an AI product or solution and preparing it for market launch;
- integrating AI into an existing product, service or business process.
The use case must relate to at least one of the data-processing categories defined by EIS: analysis, decision-making, planning and prediction, or data structuring. From a company's perspective, this could mean, for example:
- extracting information from documents, emails, speech or images and entering it into an information system;
- automatically classifying requests, cases or documents;
- identifying anomalies, quality issues or risks;
- forecasting demand, resources or work schedules;
- summarizing management information and supporting decision-making;
- adding an AI-powered capability to an existing product or service.
The result must be evidenced by at least a prototype or test results. The project may last up to nine months, and the achieved result must be demonstrated in the final report with a short video. The grant is paid as a lump sum after the activities have been completed and the report has been submitted and approved. The company therefore also needs sufficient cash flow to finance the work in the meantime.
There are two further restrictions worth noting. A company can receive this grant only once, and no other company in the same group may receive it. The grant is awarded as de minimis aid, so the applicant must also check its remaining de minimis allowance and the list of excluded sectors.
Comparison of AI and automation funding measures
The table below brings together the measures that may directly or indirectly support an AI project in 2026. Statuses were checked on 24 August 2026; always verify them again on the funder's website before applying.
| Measure | Status on 24 August 2026 | Grant and co-financing | Best suited for | Main eligibility gate |
|---|---|---|---|---|
| Artificial Intelligence Adoption Grant | Oversubscribed; EIS will close applications at 16:00 on 24 August | €20,000; 20% applicant co-financing | Testing a defined AI use case, building a prototype or completing an integration | Revenue of at least €200,000 in the previous year; the result must be verifiable |
| RTE Software Adoption or Integration Grant | Open until the budget is exhausted | €2,000–€5,000; 50% applicant co-financing | Adopting new business software or completing a small integration | Average revenue of at least €50,000 over the previous two years; e-invoicing, training and a mandatory digital adviser |
| RTE Business Process Automation and Data Exchange Grant | Open; €275,010 remained on 17 August | Up to €150,000; 50% applicant co-financing | Connecting ERP, CRM, e-commerce, warehouse or partner systems and reducing manual work | Average revenue of at least €50,000 over the previous two years; a project partner or public-sector cooperation partner is required, as is a digitalization strategy |
| Digitalization Roadmap Advisory and Development Activities Grant | Open | Up to €35,000; 30–50% applicant co-financing | Implementing AI, automation or digital-development activities already defined in a roadmap | A current digitalization roadmap and average revenue of at least €200,000 over the previous two years |
| Innovation Voucher | Open | Up to €7,500; 20% applicant co-financing | Assessing the technical feasibility of a new product or service, testing it or buying expert advice | SME; the service must be purchased from an eligible innovation-service provider; development of an internal business process is not eligible |
| Development Voucher | Open on a rolling basis | Up to €35,000; 30% applicant co-financing | A prototype of a new AI product, technological development, testing or a feasibility study | SME; the solution must be novel and fall within an Estonian research, development, innovation and entrepreneurship (TAIE) focus area; routine software and internal process development are excluded |
| Applied Research Programme (RUP) Small Projects Call | Open; mandatory pre-application consultation | €100,000–€250,000; 20–75% applicant co-financing | AI, machine learning or large language model (LLM) development involving scientific or technological uncertainty | Technology readiness level (TRL) 3–7, a clear research question, novelty, a business model and sufficient co-financing |
| Product Development Grant | Open on a rolling basis; mandatory pre-application consultation | Up to €500,000; at least 55% applicant co-financing | Developing a new, internationally competitive AI product or service | Average revenue of at least €200,000 over the previous two years and alignment with a TAIE focus area |
| Eurostars Call 11 | Open until 10 September 2026 at 14:00 CEST | Up to €500,000 in Estonia; funding rate of 40–80%, depending on the company and type of activity | International AI research and product development with at least one foreign partner | The project must be led by an innovative SME; consultation with EIS is mandatory before submission |
One important change since spring 2026 is that the Digitalization Roadmap Creation Grant closed on 24 July after its €2.5 million budget was exhausted. A roadmap is nevertheless required for several follow-on measures. A company can prepare or update its roadmap without this particular grant, and the larger RTE measure may, under certain conditions, include the cost of preparing the strategy as a project activity.
It is also worth viewing the RTE measures as one family. In addition to the two options shown in the table, separate measures are open for developing data-driven reporting software and for data-economy use cases involving public-sector data or central government solutions. A company may apply for support for only one RTE activity at a time.
Which funding measure should you choose?
If you want to improve an internal workflow
If you have one clearly defined AI use case and want to reach a verifiable prototype or integration quickly, the Artificial Intelligence Adoption Grant was the most direct option. As its budget was exhausted immediately, companies with an existing roadmap should consider the Digitalization Roadmap Advisory and Development Activities Grant, while projects involving several connected systems may fit one of the RTE grants. The Development Voucher is not suitable for routine development of an internal business process.
For a smaller need focused mainly on adopting or integrating existing software, the €2,000–€5,000 RTE software grant is the more logical option. It is not designed to fund a large bespoke solution.
If you need to connect several systems or organizations
If the project connects an ERP, CRM, e-commerce platform, warehouse or partner systems and reduces manual data entry, the RTE business-process automation and data-exchange grant is likely to be a better fit. AI can be one part of the solution, but the measure's core value lies in standardized, automated data movement. The partner requirement, digitalization strategy and rapidly diminishing budget must all be considered.
If you are developing a new AI product
A grant intended to improve an internal process may not be the right choice for a new product or service that will be sold to customers. The Innovation Voucher may be suitable for an early feasibility assessment, the Development Voucher can support a prototype, and the EIS Product Development Grant is designed for larger-scale product development.
If the project involves genuine scientific or technological uncertainty — for example, a new model, algorithm, data-processing method or complex validation task — the RUP Small Projects Call is a stronger option. EIS explicitly lists artificial intelligence, machine learning algorithms and large language models among the examples of eligible digital solutions.
If your goal is international growth
Eurostars Call 11 is relevant for a company developing a commercialisable solution together with an international partner. In Estonia, small companies can receive funding rates of up to 60% for experimental development and up to 80% for applied research; the maximum grant for one Estonian participant is €500,000.
For a highly ambitious, difficult-to-copy and internationally scalable deep-tech solution, the EIC Accelerator may be worth considering. The programme offers a grant of less than €2.5 million and an investment component of up to €10 million. The remaining 2026 batching dates for full proposals are 2 September and 4 November, but applicants must first pass the short-proposal stage. This is not a measure for a conventional internal automation project. It is highly competitive growth funding for innovations with the potential to create a new market or transform an existing one.
The seven Digital Europe calls opened in spring 2026 have a combined budget of €63.2 million and a deadline of 1 October 2026. They are not general-purpose AI grants for every company. The current topics include AI-powered medical image screening, the European Health Data Space, advanced digital skills, regulatory compliance solutions, children's online safety and information integrity. Most require a strong international consortium and a precise fit with the specific call.
If the project is not yet ready for an application
Not every company needs a grant immediately. If the use case, data or business case is still unclear, a sensible first step may be an AIRE AI suitability assessment or funding consultation. AIRE services are free for the company, but their value is recorded as state aid. AIRE's 2026 call for demonstration project ideas has ended, so it should not be presented as a currently open cash grant.
For a larger capital requirement, the EIS Innovation Loan is also open. This is not a grant but an unsecured loan of up to €5 million, with a term of up to 15 years and interest rates starting at 2% per year. It is designed to finance the development and market launch of an innovative technology, product or service that has reached at least the initial validation stage, as well as related investment.
What should a strong AI funding application contain?
In our experience, the application becomes much easier to write once the project itself has been properly thought through. Telling the funder that a company “wants to adopt AI” is not enough. The application must show a clear connection between the business process, available data, the proposed solution and a measurable outcome.
Before preparing the application, define at least these seven elements:
- Business problem and starting point. Which task consumes too much time, causes errors, limits capacity or slows down decisions?
- Use case. What will the solution change from the perspective of the user and the process?
- Data readiness. What data is available, who owns it, is its quality sufficient and what access is permitted?
- Technical concept. Which systems need to be connected, where will the AI operate and which decisions will remain under human control?
- Realistic scope. What outcome can be achieved within the budget and timeframe without making the project unrealistic?
- Metrics and evidence. How will you demonstrate that the result works — for example, through changes in processing time, error rate, cost or throughput, a test protocol or a functioning prototype?
- Financial plan. Does the company have the required co-financing and enough cash flow if the grant is paid only after the result has been achieved?
The applicant should also check its remaining de minimis allowance, excluded sectors, the eligibility of service providers and whether the measure requires a roadmap, pre-application consultation or a project partner. Under several EIS measures, project-related activities must not begin and binding contractual commitments must not be made before the application has been submitted.
How can Itronauts help?
Itronauts can help both with finding practical AI ideas and preparing a funding application. We normally start with the company's workflows and data, not with the application form.
We can help you:
- map business processes and identify realistic AI use cases;
- compare which funding measure best matches the project's objectives and eligibility requirements;
- assess data readiness and technical feasibility;
- define the solution concept, scope, timeline and budget;
- formulate measurable results and a plan for demonstrating them;
- prepare the technical and substantive project description for the application;
- develop a prototype, integration or deployable solution.
The funding decision is always made by the awarding body, but a well-prepared project helps prevent a strong idea from being undermined by an unclear scope or a missing evidence plan.
If you would like to apply for one of these funding measures, or first discuss which AI project would make sense for your company, get in touch:
raido.vahi@itronauts.com
+372 58 162 450
Summary
AI funding in 2026 is not one universal grant but a set of different routes. The Artificial Intelligence Adoption Grant was the most direct option for testing a defined AI solution, but its budget was oversubscribed on the opening day. The smaller RTE measure is suitable for a modest software step, the larger RTE grant for cross-system automation, an Innovation Voucher or Development Voucher for a new AI product, and the RUP Small Projects Call or Product Development Grant for more research-intensive development. Companies with international ambitions should also consider Eurostars and the EIC Accelerator.
The sensible approach is to choose a commercially justified use case first and the funding measure second. This keeps the grant in its proper role: an accelerator for the project, not the project's only reason to exist.
This article is for information purposes and does not replace a review of the funder's official terms. The status and remaining budgets of funding measures can change quickly. Information checked on 24 August 2026 at 11:15 EEST.