Dublin is famous for hosting the EMEA headquarters of Google, Meta, and Microsoft, but the real story in 2026 is the talent spilling out of those giants to build homegrown AI. The Silicon Docks ecosystem has matured from a tax-efficient landing pad for US multinationals into a legitimate generator of deep tech IP.
Founders here are found to apply AI to challenging problems, such as computer vision for factory safety, autonomous drone navigation, and algorithmic procurement.
Here are the 10 AI startups in Dublin that are defining the Irish tech landscape in 2026.
Tines
Founders Eoin Hinchy and Thomas Kinsella built Tines to solve the burnout crisis in security operations centres. Having raised an additional $50 million in 2024, bringing their valuation close to unicorn status, they offer a no-code automation platform that allows security teams to build complex AI workflows without writing scripts. By integrating with LLMs, Tines acts as the glue between disparate security tools, automatically triaging alerts and handling incident response. They count customers like Coinbase and Canva among their users, proving that the future of enterprise security is automated, intelligent, and accessible.
Protex AI
While Tines secures digital assets, Protex AI secures physical lives. Founders Dan Hobbs and Ciaran O’Mara, alumni of Y Combinator, developed a computer vision platform that plugs into existing CCTV networks to detect safety hazards in real-time. Whether it’s a forklift speeding in a warehouse or a worker not wearing a vest, their AI identifies the risk and logs it instantly. Having raised $18 million, they are bringing the concept of predictive safety to industrial giants like Marks & Spencer, moving health and safety from clipboard checklists to 24/7 autonomous monitoring.
Nuritas
Nuritas applies artificial intelligence to the oldest data source on earth: nature. Founder Dr Nora Khaldi uses a proprietary AI platform called the “Magnifier” to analyse billions of peptides within plants to discover bioactive ingredients with therapeutic benefits. Backed by $45 million in Series B funding and investors like U2’s Bono, they have successfully identified clinically proven ingredients for muscle health and glucose control. They are effectively turning drug discovery into a data science problem, finding solutions in nature that traditional chemistry has overlooked for decades.
Manna Drone Delivery
Bobby Healy founded Manna with the conviction that the future of last-mile delivery lies in autonomy. The company uses advanced computer vision and AI navigation to pilot delivery drones that drop coffee, pharmacy items, and food into backyards across Dublin suburbs and is now expanding into the US. With over $50 million in funding, Manna has completed hundreds of thousands of flights. Their AI doesn’t just fly the drone; it manages the complex airspace logistics, handling weather patterns and route optimisation to make aerial delivery cheaper and faster than a van.
Siren
In the world of investigations, data is often siloed, but Siren connects the dots. Led by CEO John Randles and founder Giovanni Tummarello, Siren offers an all-in-one investigative platform utilised by law enforcement and intelligence agencies. Their AI-driven search engine fuses data from open sources, dark web feeds, and internal databases to visualise relationships between suspects and assets. Recently backed by a €12 million investment from the European Investment Bank, they provide the “investigative intelligence” layer that helps analysts solve crimes more efficiently by surfacing hidden links that human investigators might otherwise miss.
Ubotica
Most AI runs in massive data centres, but Ubotica puts it in orbit. Led by Fintan Buckley, the company specialises in Edge AI for satellites. Their technology enables satellites to process images on board, rather than sending huge, raw files back to Earth. This means a satellite can detect a forest fire or an illegal ship and send an alert instantly, rather than waiting hours for downlink and processing. Working with partners like IBM and the European Space Agency, they are pioneering the “Internet of Space,” making orbital infrastructure intelligent and responsive.
Keelvar
Procurement is traditionally a slow process of spreadsheets and negotiations, but Keelvar automates it with algorithmic reasoning. Founder Alan Holland, a former lecturer in AI and game theory, built sourcing bots that can autonomously run complex tender processes for large enterprises. These bots analyse bids, negotiate pricing, and optimise supply chains for cost and sustainability. With customers such as Samsung and Coca-Cola, Keelvar manages billions of dollars in spend, demonstrating that AI agents can handle high-stakes B2B negotiations more effectively and efficiently than humans.
EdgeTier
Customer support agents are overwhelmed with queries, and EdgeTier serves as their AI copilot. Founded by Dr Ciaran Tobin, Bart Lehane, and Shane Lynn, their platform “Arthur” sits alongside human agents, analysing customer messages in real-time to draft responses and detect sentiment. Unlike simple chatbots that deflect customers, EdgeTier augments the human agent, helping them solve problems faster with higher quality. They have carved out a niche in the high-volume betting and gaming sectors, where speed and accuracy are critical.
Volograms
Volograms is democratising the creation of 3D content. Co-founded by Rafael Pagés, the company uses generative AI to turn standard 2D video into volumetric 3D holograms that can be viewed in AR or VR. Previously, this required a green screen studio with 100 cameras; Volograms can achieve the same effect with a single smartphone photo or video. As the spatial computing era arrives, driven by headsets like the Apple Vision Pro, their AI technology provides the essential toolset for creators to populate these 3D worlds with realistic human avatars.
GetVisibility
Data governance is the unsexy backbone of AI adoption, and Getvisibility handles the heavy lifting. Founders Ronan Murphy and Paul Lowry developed an AI platform that scans an organisation’s entire network to identify, classify, and secure sensitive data. Before a company can train an LLM on its internal data, it must first determine where that data is located and who has access to it. GetVisibility uses machine learning to automate this classification, preventing data leaks and ensuring compliance for global enterprises.