The Leading AI Agencies and Services in Dublin

Dublin has been home to tech companies for years, so it’s no surprise that a strong AI scene has quietly formed around them. What used to be a handful of research-heavy groups has now grown into a mix of consultancies, product studios, and small specialist teams helping businesses experiment with automation and smarter data use. Some agencies lean into strategy and research, others focus on building real-world systems that fit into day-to-day operations.

This article takes a closer look at who’s working in this space and why Dublin has become a comfortable place for AI teams to grow.

1. AI Superior

AI Superior is our AI-focused development and consulting team, and most of our day-to-day work sits right between data science and actual software building. We often work with projects targeting Dublin and the broader Irish market, getting involved from the very beginning, figuring out whether an idea even makes sense, through to the point where something is running inside a product or workflow. AI isn’t a side add-on for us; it’s essentially baked into every project we take on.

Our process tends to follow a pretty calm rhythm. We start with the problem, then take a hard look at the data, and build a small trial version before committing to anything bigger. It keeps things grounded and gives everyone a clearer sense of what’s possible. Even though we work across different industries, including clients focused on Dublin and Ireland, our approach doesn’t really change: we build something that people can actually use without turning their existing systems upside down.

Key Highlights:

• Practical AI development tied to real business tasks.
• Full software systems built around machine learning models.
• Early prototypes used to test direction before scaling.
• Guidance on where AI fits into everyday work, not just theory.
• Structured support from idea to deployment.

Services:

• AI software development for web, mobile, and custom tools.
• Consulting on realistic uses for AI.
• Training for teams moving into machine learning workflows.
• Research and experimental AI work.
• Help integrating AI into existing systems.

Contact Information:

• Website: aisuperior.com
• Email: info@aisuperior.com
• Facebook: www.facebook.com/aisuperior
• Twitter: x.com/aisuperior
• LinkedIn: www.linkedin.com/company/ai-superior
• Instagram: www.instagram.com/ai_superior
• Address: Robert-Bosch-Str. 7, 64293 Darmstadt, Germany
• Phone: +49 6151 3943489

2. McKinsey

McKinsey treats AI as one part of a much larger organisational puzzle. In their view, there’s little point in building a clever model if the rest of the company isn’t prepared to use it, so their AI work tends to include strategy, processes, and people, the whole setup. Their Dublin teams work the same way, helping organisations figure out how AI might fit into long-running systems rather than floating off on its own.

A lot of their projects involve large environments, where change has to happen carefully and at scale. When things get more technical, their QuantumBlack group steps in for the heavier engineering. In general, their role stretches across the full arc of planning, building, and maintaining AI systems that actually need to survive inside a real business, not just look smart on a slide.

Key Highlights:

• AI strategy tied to broader organisational planning.
• Work focused on environments where AI must fit into existing structures.
• Emphasis on long-term adoption, not one-off experiments.
• Strong interest in decision-making and operational improvements.

Services:

• AI consulting linked to business and operating models.
• AI system development through QuantumBlack.
• Support integrating AI into everyday workflows.
• Advisory on large-scale tech and AI transformations.

Contact Information:

• Website: www.mckinsey.com
• Facebook: www.facebook.com/mckinsey
• Twitter: x.com/McKinsey
• LinkedIn: www.linkedin.com/company/mckinsey
• Address: 5th Floor, 2 Grand Parade, Ranelagh, Dublin 6, D06 CX34, Ireland
• Phone: +353 (1) 478 5500

3. Nostra

Nostra approaches AI from a security-leaning, “let’s slow down and check the basics” angle. Before talking about tools or features, they look at how AI fits into regulations, existing IT policies, and the overall health of a company’s setup. For many teams, that first step, figuring out whether they’re even ready for AI, is where the real work starts.

Their projects usually center on frameworks, governance, and responsible rollouts rather than model-building. It’s less about chasing the newest trend and more about making sure AI doesn’t create surprises, especially in regulated industries. That makes them a familiar name for organisations in Dublin that want to try AI but still keep a tight hold on compliance and risk.

Key Highlights:

• Focus on secure, controlled AI adoption.
• Early reviews of data, workflows, and policies.
• Risk management tied to AI tools and use.
• Strong alignment with regulatory requirements.

Services:

• AI readiness and strategy sessions.
• Risk and compliance assessments.
• Development of responsible AI frameworks.
• Support for tools like Microsoft Copilot.
• Governance and monitoring with Cloud Shield 365.

Contact Information:

• Website: nostra.ie
• Facebook: www.facebook.com/Nostra.ie
• LinkedIn: www.linkedin.com/company/nostra-systems
• Instagram: www.instagram.com/nostra.system
• Address: 20d Beckett Way, Park West Business Park, Dublin, D12 T6P6
• Phone: +353 1 223 90 00

4. ConvertMate

ConvertMate isn’t a consultancy in the traditional sense. They’ve built an AI-powered workspace mainly for marketing teams, so their connection to AI comes from a more practical angle – content work, campaign adjustments, search visibility, all the everyday tasks that pile up across different apps. Their platform brings a lot of that into one place, which tends to cut down on the usual tool-hopping.

They also keep an eye on how brands appear across AI-driven search platforms, which is something people don’t necessarily track manually. It’s a blend of automation and convenience rather than theory-heavy AI, and Dublin teams often treat it as a way to centralise the messy parts of marketing work.

Key Highlights:

• AI tools built around daily marketing operations.
• One workspace for content, analytics, ads, and SEO.
• Visibility tracking across AI search tools.
• Designed to support existing workflows rather than replace them.

Services:

• AI content creation and campaign tools.
• SEO audits and optimisation features.
• Ad tracking with AI-assisted suggestions.
• Social scheduling and automation.
• Monitoring across ChatGPT, Perplexity, and similar platforms.
• Cross-channel analytics dashboards.

Contact Information:

• Website: www.convertmate.io
• Email: support@convertmate.io
• LinkedIn: www.linkedin.com/company/convertmate

5. Wolfpack Digital

Wolfpack Digital tends to think about AI as a product feature rather than a separate initiative. Their Dublin presence supports companies building apps that need machine learning, automation, or LLM-powered functions inside them, not bolted on later. The work usually begins with a look at the data and a few tests to see whether the idea holds up before moving into full development.

They also help teams figure out whether AI belongs in their roadmap at all, which can go either way depending on the context. Their projects range from chatbots to workflow automation to model integration, with a steady focus on engineering and practical execution.

Key Highlights:

• AI features built directly into apps and digital products.
• Feasibility checks and early prototypes.
• Scalable components for web and mobile.
• Strong focus on product-led AI development.

Services:

• AI development and integration.
• Machine learning and deep learning work.
• LLM feature and chatbot development.
• Process and workflow automation.
• Data audits and prep for AI projects.
• Prototype building and consulting.

Contact Information:

• Website: www.wolfpack-digital.com
• Facebook: www.facebook.com/wolfpackdigital
• Twitter: x.com/DigitalWolfpack
• LinkedIn: www.linkedin.com/company/wolfpack-digital
• Address: 42 Pearse Street, D02 YX88, Dublin, Ireland
• Phone: +353 1 960 9992

6. Gemmo AI

Gemmo AI focuses on AI agents for financial services, and much of their Dublin work is about making those agents behave in a way that real organisations can trust. They spend a lot of time on governance, audit trails, and explaining what the models are doing, things that matter a lot when you’re working with internal controls and regulations.

They also pay attention to the people side of adoption. Workshops, training, and co-creation sessions are part of their usual routine so teams don’t feel like the technology is being dropped on top of them without preparation. Their view of AI adoption is more of a slow, guided process, where agents support existing staff while the broader workflows shift over time.

Key Highlights:

• AI agents designed specifically for financial organisations.
• Heavy focus on governance and auditability.
• Support from early idea-scoping through live deployment.
• Work with Dublin-based financial teams on structured adoption.
• Blend of technology, process change, and team readiness.

Services:

• AI opportunity discovery using their Pathfinder method.
• Design and deployment of pre-built financial AI agents.
• Monitoring and improvement of live systems.
• Governance frameworks for explainable, compliant AI.
• Training and change-management support.

Contact Information:

• Website: gemmo.ai
• Email: info@gemmo.com
• LinkedIn: www.linkedin.com/company/gemmoai
• Address: 77, John Rogerson’s Quay, Block C, Dublin, D02 VK60

7. KantanAI

KantanAI takes a broad view of AI in business. Rather than focusing on building a single flashy model, they look at how AI fits into the bigger picture, how it interacts with existing systems, decision-making, and operations. Their Dublin teams tend to help organisations figure out where AI can actually make a difference without floating off on its own. It’s less about shiny tech and more about practical integration.

Key Highlights:

• AI work tied into overall organisational strategy.
• Focus on long-term adoption rather than quick wins.
• Projects often involve complex operational systems.
• Emphasis on using AI to support existing processes.

Services:

• AI consulting connected to business and operational needs.
• System development through technical partnerships.
• Integration support for ongoing workflows.
• Advice on scaling AI across organisations.

Contact Information:

• Website: www.kantanai.io
• Facebook: www.facebook.com/KantanMT
• Twitter: x.com/KantanMT
• LinkedIn: www.linkedin.com/company/2895028
• Address: 11 Old Finglas Rd, Glasnevin, Dublin, D11 KXN4

8. Clearlead AI

Clearlead AI positions themselves as an AI consulting group with a strong local connection to Dublin’s tech scene. They tend to work with organisations that want a structured, realistic path into AI rather than something vague or overly ambitious. Their projects usually blend strategy, implementation, and data science, with a steady focus on tying each idea back to an actual business need.
They’re also pretty open about the regulatory side of working with AI in Europe. GDPR, the EU AI Act, and all the other frameworks aren’t an afterthought for them, they’re woven into how they help clients plan and build. For Dublin companies trying to adopt AI without tripping over compliance issues, that local context makes things a bit more straightforward.

Key Highlights:

• Dublin-based AI consulting firm.
• Work across AI strategy, machine learning, and data science.
• Mix global AI practice with European regulatory requirements.
• Wide industry reach.
• Focus on practical, long-term AI roadmaps.

Services:

• AI and machine learning consulting.
• LLM and generative AI support.
• Data science and analytics projects.
• NLP solutions and language-based AI work.
• Strategy and innovation guidance around AI adoption.

Contact Information:

• Website: www.clearlead.ai
• Email: info@clearlead.ai
• Twitter: x.com/clearleadai
• LinkedIn: www.linkedin.com/company/clearlead-ai-consulting

9. Coupa

Coupa looks at AI through the lens of finance, procurement, and supply chain, and their whole platform is built so teams can run these operations without juggling a dozen separate tools. They’re not an agency in the classic sense, more of a software company that’s woven AI directly into how the platform works. Dublin-based organisations using Coupa usually want AI to support day-to-day decisions around spend, suppliers, approvals, and planning.
The AI features appear naturally inside the platform: recommendations, dashboards, automated checks, and workflow nudges. It’s less about building custom models and more about using AI to keep operations predictable and informed. For many teams, this puts Coupa somewhere between software and an ongoing AI service, since the platform keeps evolving with new insights over time.

Key Highlights:

• AI-native platform for spend and supplier management.
• AI embedded into procurement, finance, and supply chain modules.
• Designed to support, not replace, teams making decisions.
• Used by global organisations, including those in Dublin.
• Focus on continuous optimisation through platform intelligence.

Services:

• AI-supported procurement workflows.
• Finance tools with automated insights and spend visibility.
• Supply chain planning with machine learning models.
• AI recommendations across the Coupa platform.
• Integrations to connect Coupa with existing business systems.

Contact Information:

• Website: www.coupa.com
• Facebook: www.facebook.com/coupasoftware
• Twitter: x.com/Coupa
• LinkedIn: www.linkedin.com/company/99595
• Address: Estuary House Alfie Byrne Road, Eastpoint Business Park Dublin, D03 Y6A2

10. Qualtrics

Qualtrics focuses on helping organisations understand experiences – customer, employee, product, pretty much anything that involves people giving feedback. Their AI tools sit inside a larger platform that pulls comments and signals from different channels and turns them into something a team can actually interpret. For companies in Dublin, this setup means they can bring AI into experience management without switching systems or rebuilding processes.
Instead of scanning long lists of comments, their AI groups themes, flags patterns, and highlights issues that might otherwise get lost. The goal is to turn raw feedback into something actionable, whether that’s improving support processes or adjusting product decisions. AI here is more of a supportive layer than a standalone tool.

Key Highlights:

• AI used to understand customer and employee feedback.
• Focus on insights that teams can act on.
• Tools across customer, employee, and research functions.
• Helps Dublin organisations weave AI into feedback-driven decisions.

Services:

• AI-supported customer experience tools.
• Employee feedback and manager support features.
• AI-driven research and market insight tools.
• Unified platform combining feedback, analysis, and workflows.

Contact Information:

• Website: www.qualtrics.com
• Facebook: www.facebook.com/Qualtrics
• Twitter: x.com/Qualtrics
• LinkedIn: www.linkedin.com/company/qualtrics
• Instagram: www.instagram.com/qualtrics

11. EdgeTier

EdgeTier is built around the idea of making sense of customer interactions, especially in places like contact centres where messages can pile up quickly. Their work started with high-volume environments and hasn’t drifted far from that focus. Dublin teams use EdgeTier when they need more clarity about what customers are saying, what’s going wrong, and which issues are quietly building in the background. AI is central to this approach, allowing EdgeTier to process large volumes of conversations quickly and surface insights that humans alone might miss.

Their AI reads conversations in real time and points out patterns before they turn into bigger problems. It’s not about drowning people in reports; it’s more like having a second set of eyes powered by AI, watching for spikes, recurring complaints, or areas where agents might need support. It gives service teams a way to use AI to enhance their work without adding more noise or complexity.

Key Highlights:

• Real-time AI-driven analysis of customer conversations.
• Helps teams spot issues earlier instead of reacting late.
• Built around the realities of contact centre operations.
• Used by Dublin organisations that want proactive AI-supported customer insight.

Services:

• AI analysis of customer interactions.
• Detection of emerging problems and behaviour shifts using AI.
• AI-powered tools for agent quality checks and performance trends.
• Integrations with contact centre systems for ongoing AI-supported monitoring.

Contact Information:

• Website: www.edgetier.com
• Address: The Exchange Buildings, Foster Place, Dublin 2, D02 E796

12. Opkey

Opkey uses AI to support enterprise application testing, especially for ERP systems where updates and changes can be risky and time-consuming. Their platform helps automate testing, track configurations, and cut down on the manual work that tends to slow teams down. For companies in Dublin, Opkey becomes part of the everyday routine of managing large, business-critical applications.

Their main focus is making updates and migrations less stressful. The AI agents handle things like test generation, configuration checks, and user support, helping teams catch issues earlier. Opkey sees AI as something that should follow the full lifecycle of an application, not just one phase of a project.

Key Highlights:

• AI agents for ERP testing and configuration work.
• Helps teams manage updates and migrations with fewer manual steps.
• Supports both technical and operational teams.
• Used by organisations that want to reduce risk during ERP changes.

Services:

• AI-supported ERP testing.
• Automated configuration mapping and change tracking.
• AI assistance for training and user support.
• Continuous monitoring and issue detection for ERP systems.

Contact Information:

• Website: www.opkey.com
• Facebook: www.facebook.com/opkeyAI
• Twitter: x.com/OpkeyAI
• LinkedIn: www.linkedin.com/company/opkey

 

Conclusion

Looking across the AI scene in Dublin, no two companies really approach things the same way. Some care about language, some about customer insight, others about supply chains, testing, or strategy. It’s a wide mix, and that’s probably why the ecosystem feels so alive, there isn’t a single “right” way to use AI here.

For teams figuring out their next steps, this variety can actually be a relief. You’re not forced into a one-size-fits-all model. You can look around, see how different groups tackle problems, and find an approach that doesn’t feel out of place with how your organisation already works. And because AI is moving so quickly, having that kind of flexibility usually matters more than chasing whatever tool happens to be trending at the moment.