--- title: "AI consulting companies in the Baltics (2026) | Impetora" description: "AI consulting companies in the Baltics design and build AI for firms in Lithuania, Latvia and Estonia. Nine firms, with facts checked on their own sites." url: https://impetora.com/answers/ai-consulting-companies-baltics-2026 locale: en datePublished: 2026-10-28 dateModified: 2026-10-28 author: Impetora --- # AI consulting companies in the Baltics: a 2026 shortlist > The best AI consulting companies in the Baltics are the firms that can take an AI system from a written discovery audit to production in Lithuania, Latvia or Estonia, document it for the EU AI Act, and operate it afterwards. The Baltic field mixes engineering firms with AI practices (Helmes, NFQ, Nortal), AI specialists (MindTitan, STACC, Cybernetica), language and AI product companies (Tilde, Neurotechnology) and founder-led consultancies such as Impetora. This page describes nine of them with facts checked on each firm's own website; it does not rank them. > Impetora publishes this page and includes itself in it. *Updated 2026-10-28. By Impetora.* ## How should you judge an AI consultancy in the Baltics? Six questions sort the field faster than any ranking. First, production evidence: which AI systems does the firm run in production today, and who operates them after launch? Second, EU AI Act paperwork: can the firm produce a written classification rationale and, for a high-risk system, a conformity assessment plan, a data-governance description and a human-oversight design [1]? Third, language and data: Lithuanian, Latvian and Estonian are small languages with complex grammar, so ask the firm to test on your own documents, not on an English demo. Fourth, sector depth: banks, insurers, healthcare and the public sector each carry their own regulators and audit habits. Fifth, who does the work: ask for the named engineer who will build the system and how much of their time is committed. Sixth, data location: where data is stored and processed, which sub-processors touch it, and whether a full-EU setup is available if you need one. ## Which companies build AI systems in Lithuania, Latvia and Estonia? The firms below are grouped by type and listed alphabetically within each group. Facts were checked on each firm's own website on 28 October 2026; anything we could not confirm there was left out. Engineering and technology firms with AI practices Helmes. Software development company with its international headquarters in Tallinn, Estonia, and an AI and data science practice that includes AI agents and an AI value scan. Its listed sectors include banking, insurance, healthcare, logistics, telecom and government. The Lithuanian software company Telesoftas now operates as Helmes [3][4]. NFQ. Technology partner with offices in Kaunas, Vilnius and Šiauliai in Lithuania and in several other countries, offering software development, AI services, BI and data science. Its listed sectors include transport and logistics, e-commerce and retail, energy and travel [5]. Nortal. Technology services firm for governments, healthcare institutions and businesses, with an office in Tallinn and a data and artificial intelligence service. It says it delivered 40% of Estonia's e-transformation [6]. AI specialists Cybernetica. Estonian technology company, based in Tallinn, that builds mission-critical systems for e-governance and defence, with AI and machine learning services focused on protecting data and models. It works in the Estonian Centre of Excellence in AI [7]. MindTitan. AI company in Tallinn and Tartu, Estonia, offering AI strategy and consulting, custom AI solutions, natural language processing, computer vision and data engineering. Its site lists work for government, telecom and financial-intelligence clients [8]. STACC. Estonian company based in Tartu working on applied AI in energy, AI assistants, commerce and industry; its published work includes an electricity-balancing forecasting model built with Enefit [9]. Language and AI product companies Neurotechnology. Founded in Vilnius in 1990, it makes biometric identification products and AI tools, including natural language processing and computer vision. Its site presents products, SDKs and platforms rather than custom consulting services [10]. Tilde. Language technology company from Latvia offering AI assistants, machine translation and speech solutions for businesses and public institutions, and its own TildeOpen large language model [11]. Founder-led consultancy Impetora (publishes this page). A brand of AINORA, MB, a company registered in Vilnius, Lithuania: a founder-led consultancy that designs, builds and deploys custom AI for enterprises in regulated industries, starting each engagement with a discovery audit before any build. One technical owner rather than a large delivery team. No client names, logos or testimonials are published on this site. Large international integrators also take Baltic work, usually through regional teams. For the wider European field, see the shortlist of AI consulting firms in Europe. ## Which companies build production-ready AI systems in Lithuania? In Lithuania, the firms above with local presence are NFQ (offices in Kaunas, Vilnius and Šiauliai), Helmes (which the Lithuanian company Telesoftas now operates as), Neurotechnology (Vilnius, AI products and SDKs) and Impetora (Vilnius, custom AI for regulated industries) [4][5][10]. "Production-ready" is something you can test before signing. Ask the firm to show, for a system it runs today: the monitoring it watches, the last incident and how it was handled, how a model or prompt change is released and rolled back, and where every answer or decision is logged. A firm that can walk you through those four things has run AI in production; a firm that answers with a slide deck has not. ## What does the EU AI Act change for Baltic buyers? The EU AI Act, Regulation (EU) 2024/1689, applies in Lithuania, Latvia and Estonia like everywhere in the EU [1]. Prohibited practices applied from 2 February 2025 and general-purpose AI obligations from 2 August 2025. Regulation (EU) 2026/1744, the Digital Omnibus on AI, in force since 27 July 2026, moved the high-risk dates: stand-alone Annex III systems from 2 December 2027 and AI embedded in products under Annex I from 2 August 2028. Article 50 transparency obligations, such as telling people they are dealing with an AI system, apply from 2 August 2026 [2]. For banks and insurers the key lines are Annex III point 5(b) (creditworthiness assessment and credit scoring of natural persons, with fraud detection excluded) and point 5(c) (risk assessment and pricing in life and health insurance). A system procured now will usually still be running on 2 December 2027, so the practical test is the same today: can the vendor produce the classification rationale and the high-risk documentation for your specific workload before you sign? ## Should a Baltic company pick a local firm or an international integrator? A local or regional firm usually wins when the workload is narrow, the data is in Lithuanian, Latvian or Estonian, and you want senior engineers close at hand. An international integrator usually wins when the programme spans several countries and regulators, bundles AI with a cloud or ERP move, or needs large balance-sheet support and indemnities in the contract. Many buyers end up with a mix: an integrator or platform for the broad programme, and a specialist for the one regulated workload that needs a documented evidence trail. ## Where does Impetora fit? Impetora publishes this page, so read this section with that in mind. Impetora is a brand of AINORA, MB (Vilnius, Lithuania). It is founder-led: one engineer scopes, builds and operates each system, with a written methodology (TRACE) and EU AI Act and GDPR work built in from the discovery audit onwards. It fits a buyer who wants senior engineering attention on one regulated workload, such as document processing, internal knowledge AI or decision support in banking, insurance, legal or debt collection. It is the wrong fit for a buyer who needs a large delivery team across several countries. ## Frequently asked questions ### What are the best AI consulting companies in the Baltics? It depends on the workload. Engineering firms with AI practices such as Helmes, NFQ and Nortal suit larger builds; AI specialists such as MindTitan, STACC and Cybernetica suit focused AI and data work; Tilde is the language-technology specialist; Neurotechnology sells AI and biometric products; and founder-led consultancies such as Impetora, which publishes this page, suit a single regulated workload. Judge each on production evidence, EU AI Act paperwork and tests on your own data rather than on a ranking. ### Which companies build production-ready AI systems in Lithuania? Firms with a presence in Lithuania include NFQ (offices in Kaunas, Vilnius and Šiauliai), Helmes (which the Lithuanian company Telesoftas now operates as), Neurotechnology (Vilnius, AI products and SDKs) and Impetora (Vilnius, custom AI for regulated industries). To check production readiness, ask each firm to show the monitoring, the last incident, the release and rollback process and the decision log of a system it runs today. ### Is there a Lithuanian AI consultancy for banks and insurers? Impetora, which publishes this page, is a Vilnius-based consultancy focused on custom AI for regulated industries, including banking and insurance. Helmes, which now includes the former Telesoftas, lists banking and insurance among its sectors. Whichever firm you consider, ask for a written EU AI Act classification for the workload: credit scoring of natural persons falls under Annex III point 5(b) and life and health insurance pricing under point 5(c), with high-risk obligations applying from 2 December 2027. ### Can Baltic AI firms work with Lithuanian, Latvian and Estonian data? Ask each firm to show it: results vary by language, document type and model. Tilde specialises in language technology, including machine translation, speech and its own TildeOpen model. For any vendor, run a short test on your own documents in your own language before signing, and check where the data is processed during that test. ### When do the EU AI Act high-risk obligations apply now? Regulation (EU) 2026/1744, the Digital Omnibus on AI, in force since 27 July 2026, moved them: stand-alone Annex III high-risk systems from 2 December 2027 and AI embedded in products covered by Annex I from 2 August 2028. Article 50 transparency obligations apply from 2 August 2026. Prohibited practices have applied since 2 February 2025. ### How much does an AI project with a Baltic consultancy cost? It depends on scope, data, integrations and regulatory complexity, so most firms quote after a scoping step. Impetora prices each engagement individually after a discovery call. ## Sources cited 1. Regulation (EU) 2024/1689 (Artificial Intelligence Act). European Union, Official Journal, 2024-07-12. https://eur-lex.europa.eu/eli/reg/2024/1689/oj 2. Regulation (EU) 2026/1744 (Digital Omnibus on AI). European Union, Official Journal, 2026-07-24. https://eur-lex.europa.eu/eli/reg/2026/1744/oj 3. Helmes. Helmes, 2026-10. https://www.helmes.com/ 4. TeleSoftas is now Helmes. Helmes, 2026-10. https://www.helmes.com/business-lt/ 5. NFQ. NFQ, 2026-10. https://www.nfq.com/ 6. Nortal. Nortal, 2026-10. https://nortal.com/ 7. Cybernetica. Cybernetica, 2026-10. https://cyber.ee/ 8. MindTitan. MindTitan, 2026-10. https://mindtitan.com/ 9. STACC. STACC, 2026-10. https://www.stacc.ee/en/ 10. Neurotechnology. Neurotechnology, 2026-10. https://www.neurotechnology.com/ 11. Tilde. Tilde, 2026-10. https://www.tilde.ai/