Innovate with
confidence
Stop over-analyzing AI.
Start outperforming your competitors.
Our offering
AI training: Beginners
to experts
AI consulting: Uncover real
business value
AI engineering: Build &
scale safely
Our case studies
Our whitepapers
About us
At DevOn we understand you want to be a confident innovator
But with AI evolving at breakneck speed, making the right decisions at the right time can feel overwhelming, causing frustration, hesitation, and missed opportunities. We believe AI should accelerate your strategy, not paralyze it.
That’s why we built a proven framework, refined through our work with pioneers like Eneco, Peakzi, and Omniplan, SD Worx, Wolters Kluwer and Elsevier to help you move from uncertainty to impact with AI, fast.
Here is how it works:
• Meet – understand your challenges
• Discover – create a roadmap (how to choose wisely from all the AI possibilities)
• Implement your MVP within 90 days – accelerate your strategy by delivering
Let’s stop the analysis paralysis, so your top talent stays, your customers remain loyal, and AI drives tangible success.
like DevOn—to help you find solutions and make the development process easier
All you need for AI success
Since 2022, we have journeyed from AI experimentation to rewiring how our company delivers engineering excellence. We now offer that expertise to customers through training, consulting and specialist AI product engineering teams
AI training: from beginners to experts
Move from vague ideas to feasible, validated plans in a single day, guided by our experts who have been there and done that
AI training
Whatever your role and wherever you are on your AI journey, our training courses equip you to make the most of AI in your work
AI discovery: uncover real business value
Move from vague ideas to feasible, validated plans in a single day, guided by our experts who have been there and done that
AI product discovery workshop
Move from vague ideas to feasible, validated plans in a single day, guided by our experts who have been there and done that
AI engineering: build & scale safely
Accelerate your AI journey with confidence. DevOn’s AI engineering teams help you build scalable, secure, and production-ready AI solutions—designed for real-world impact
AI-ready data foundation
Your data becomes your competitive edge in the age of AI, we make it ready to work towards this new goal
AI engineering teams
Developing AI-centric products requires a blend of robust engineering and constant experimentation, our teams provide both
AI infrastructure management
Matching your AI infra to the true needs of your product, without breaking the bank, requires deep expertise, and we have it
Applied AI research for custom problems
When the AI you need is not available off the shelf, we can build a custom solution that provides true differentiation
Our team
Experience matters
Our knowledge of AI comes from applying it to solve real world problems, building upon almost two decades helping customers succeed in Agile, DevOps and Cloud transformations.
We’ve seen how emerging technologies can disrupt industries, and how the right guidance turns disruption into strategic advantage. Our engineers don’t just experiment with AI, they deliver measurable outcomes.
Whether we’re streamlining operations, accelerating product development, or enabling smarter decision-making, our focus is always the same: real impact, fast
Our AI experts
Shaun McGirr is a data & AI leader with 20 years of varied experience across official statistics, academia, consulting, automotive, and software. He achieved minor stardom in the 2019 documentary Data Science Pioneers, coining the phrase “things that happen 35% of the time, happen ALL the time” to explain why quite likely outcomes are often dismissed out of hand.
Arun Kumar is a senior AI architect with 10+ years in AI, data science, and engineering. A PhD and Gold medalist, he’s published peer‑reviewed papers and excels at training, fine‑tuning, and deploying ML/DL/LLM models (TensorFlow, PyTorch, Hugging Face, Databricks) and building MLOps pipelines with MLflow, Docker, and Kubernetes. Open to collaboration.
I help enterprise teams adopt an AI-first approach to transformation by aligning technology, ways of working, and decision-making. As a transformation consultant, my focus is on guiding organizations to integrate AI meaningfully—using it to augment human judgment, streamline workflows, and improve responsiveness.
Experienced senior software developer with over a decade of hands-on experience in delivering cutting-edge solutions across diverse industries such as telecommunication, insurance, finance, HR, and E-commerce. Proficient in end-to-end web development using .NET and JavaScript frameworks like angular & react, with a strong background in azure cloud services.
Deepu Roy is a senior test consultant with 20+ years in software quality engineering. He builds scalable test frameworks, leads agile test transformations, and drives continuous testing. Deepu has experience developing and evaluating LLM+RAG-based AI agents. A mentor and testing strategist, he champions practical AI adoption in QA, as well as testing and evaluating AI systems.
Shaun McGirr is a data & AI leader with 20 years of varied experience across official statistics, academia, consulting, automotive, and software. He achieved minor stardom in the 2019 documentary Data Science Pioneers, coining the phrase “things that happen 35% of the time, happen ALL the time” to explain why quite likely outcomes are often dismissed out of hand.
Arun Kumar is a senior AI architect with 10+ years in AI, data science, and engineering. A PhD and Gold medalist, he’s published peer‑reviewed papers and excels at training, fine‑tuning, and deploying ML/DL/LLM models (TensorFlow, PyTorch, Hugging Face, Databricks) and building MLOps pipelines with MLflow, Docker, and Kubernetes. Open to collaboration.
I help enterprise teams adopt an AI-first approach to transformation by aligning technology, ways of working, and decision-making. As a transformation consultant, my focus is on guiding organizations to integrate AI meaningfully—using it to augment human judgment, streamline workflows, and improve responsiveness.
Experienced senior software developer with over a decade of hands-on experience in delivering cutting-edge solutions across diverse industries such as telecommunication, insurance, finance, HR, and E-commerce. Proficient in end-to-end web development using .NET and JavaScript frameworks like angular & react, with a strong background in azure cloud services.
Deepu Roy is a senior test consultant with 20+ years in software quality engineering. He builds scalable test frameworks, leads agile test transformations, and drives continuous testing. Deepu has experience developing and evaluating LLM+RAG-based AI agents. A mentor and testing strategist, he champions practical AI adoption in QA, as well as testing and evaluating AI systems.
Our blogs
We bring the right people together to challenge established thinking and drive transformation
The Quiet Rise of AI: Why local models will blend
into our world (and why that’s a good thing)
Why we should not focus on AI?
clearing out the AI fog- Part2
Why we should not focus on AI?
clearing out the AI fog – Part 1