Unlock new value with AI & data science

At Helmes, we harness the power of AI and data science to help organizations solve complex business challenges, automate processes, and gain a competitive edge through smarter, faster decisions.

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The region’s largest AI & data team – at your service

Our team – the largest in the Baltic region – helps companies move from fragmented data to predictive intelligence, tailored automation, and measurable business value.

Whether you’re just beginning your AI journey or scaling sophisticated ML models, our deep bench of data scientists, engineers, and AI architects are ready to join you at any step of the way.

Our services

From clustering and classification to chatbots and intelligent predictions, our AI services are built to solve real business challenges – enabling faster decisions, smarter operations, and greater customer value.

Cloud data engineering & MLOps

We design and implement modern data infrastructure on platforms like AWS, Azure, Databricks, and Snowflake. Our cloud-native approach enables scalable, reliable, and automated AI and analytics pipelines – ensuring smooth delivery and long-term maintainability.

Large-scale data processing & industry platforms

We develop robust platforms capable of handling billions of events and complex workflows – ideal for industries like telecom, fintech, and media. These solutions power real-time insights, personalization engines, and intelligent automation at scale.

AI strategy & enablement

We help organizations shape their AI vision and build strategic roadmaps that align with business priorities. From capability assessments to governance models and talent planning, we enable your teams to confidently move from experimentation to scaled AI adoption.

AI product development

We build custom AI solutions that solve real business problems, drive automation, and create new value streams – helping you reduce costs, improve efficiency, and stay ahead of the competition. Our approach covers the entire development lifecycle – from concept validation and data analysis to full-scale deployment and MLOps.

Natural language processing (NLP)

We extract insights from unstructured data using text and semantic analysis – including topic modeling, summarization, classification, and other techniques that turn language into structured, actionable intelligence. We also support LLM fine-tuning, domain-specific adaptations, and retrieval-augmented generation (RAG) for enterprise-ready language intelligence.

Intelligent agents

We build AI-powered chatbots and virtual assistants that automate communication and processes, reduce workload, and enhance customer experience through faster, more consistent support at scale.

Computer vision

We develop custom solutions that process, group, and classify digital images to recognize patterns. This enables automation of visual tasks, improves accuracy, and unlocks use cases like quality control, visual search, and content tagging – leading to faster operations and smarter customer experiences.

Machine learning

Our machine learning solutions help you build predictive models that turn historical and real-time data into actionable insights. Whether you’re optimizing operations, improving customer experiences, or identifying new revenue opportunities, we tailor each ML solution to your business goals. We support use cases such as forecasting, anomaly detection, churn prediction, and more – with end-to-end model lifecycle support from training to deployment and continuous improvement.

Our workflow

Every AI and data science journey is different. Whether you’re building a new solution from scratch or need support midstream, we adapt to your goals and join at any stage – or manage the full lifecycle from strategy to support.

1. Problem identification – is this a task for AI or data science?

We begin by understanding your vision, and assess your business challenge to determine if it can be solved through AI, automation, or advanced analytics – ensuring the right fit from the start.

2. Business requirements – define goals, value, and success metrics

Together, we clarify your objectives, define measurable outcomes, and prioritize the highest-impact use cases for your organization. Where relevant, we build early prototypes to validate ideas and minimize delivery risk.

3. Data requirements – assess availability, quality, and readiness

We evaluate your data sources, structure, and accessibility to ensure a strong foundation for model development or analytics workflows. We then prepare, and transform your data to lay a solid foundation for modeling.

4. Modeling & evaluation – build, test, and refine your solution

We develop tailored AI models or data science solutions based on your specific goals – including predictions, clustering, recommendations, and beyond. Each solution is tested and evaluated to ensure real-world value and performance.

5. Deployment – seamlessly integrate into your infrastructure

We deploy your solution into your environment – whether cloud, hybrid, or on-prem – ensuring that it integrates securely and runs reliably, at scale.

6. Ongoing support & evolution

Our work doesn’t stop at deployment. We monitor, maintain, and optimize your solution, helping it evolve alongside your business through continuous feedback loops, automated retraining, and performance tuning.

With Helmes, you’re not just getting technical delivery – you’re gaining a strategic partner who understands how to make data and AI work for your business.

Tools & frameworks we use

We are tech-agnostic but highly proficient in today’s leading platforms – selecting the optimal technologies to meet your specific needs. From data infrastructure to AI deployment, our technology choices ensure scalability, performance, and future-readiness. Our expertise includes:

  • Cloud & data platforms
    Microsoft Azure (Databricks, Stream Analytics, Data Lake, Synapse, Data Factory, Blob Storage)
    Amazon Web Services (AWS) · Google BigQuery · Snowflake · Delta Lake · Matillion · Amazon Redshift · SSIS · Apache Airflow
  • Analytics & visualization tools
    Microsoft Power BI · Tableau · Google Data Studio · Looker · Qlik · Jedox
  • Languages & data engineering tools
    SQL · Python · R
  • AI & machine learning frameworks
    TensorFlow · PyTorch · Keras · Scikit-learn · Conda · Apache Spark · KubeFlow · Azure Machine Learning

This robust toolkit enables us to deliver AI solutions that are intelligent, adaptable, and resilient – ready to meet enterprise-level demands across complex environments.

It’s not just what we do – it’s how we work

We focus on getting things done in a way that’s efficient, reliable, and makes sense for your team. At Helmes, we’ve built teams that have worked together for years – people who know the tools, the process, and each other. Because of that, we’re able to deliver real productivity. And that means time and cost savings for you.