Harnessing the power of data and AI for smarter solutions

At Valcon, we merge AI with data management to transform challenges into growth opportunities. Our tailored, ethical solutions unlock insights, optimise operations, and drive sustainable success in an ever-evolving world.

Enquire now

What makes Valcon the right partner in your data and AI journey

Valcon has the right digital minds on hand, ready to help our customers implement the future, every step of the way. We value long-term partnerships that deliver lasting success. This allows us to deliver consistent, tangible business value to our clients, a value that goes beyond individual projects. We offer local, nearshore (Southeast Europe) and hybrid delivery options to best suit your needs.

450

Data and AI experts

Delivering smarter, faster, and scalable solutions for your business

1m+

Days of experience

Delivering data and AI solutions that generate tangible results for our clients.

250+

Clients

From global brands to growing businesses, rely on us for data and AI solutions across multiple sectors.

6

Countries with offices

Delivering data and AI solutions for global projects anywhere, working in hybrid teams.

12

Strong vendor partnerships

Empowering us to deliver the very best solutions and technology

What we do

Data and AI
services

At Valcon, we believe in unlocking tangible business outcomes by seamlessly integrating data and AI into organisational processes. We start with a clear strategy, defining the vision and roadmap to maximise value from AI and data. Through utilisation, we focus on applying these insights to drive measurable results that align with our clients’ goals.

Strategy

Our data and AI strategy services are designed to support you at every stage of your journey, providing a clear vision and strategic approach to leveraging data and AI effectively for impactful business outcomes.

Utilisation

Our data and AI utilisation services help you unlock insights and realise business goals by effectively leveraging data and AI to drive informed decision-making and measurable impact.

Foundation

Our data and AI foundation services ensure your data and AI are available, reliable, and fit for purpose, providing the essential groundwork for effective utilisation.

What is our focus within data and AI?

AI AI & Data Data

Our data and AI services are designed to support you at every step of your journey

Click/hover the circles to view more

Strategy

Vision and strategic approach to use AI & data effectively

Data & AI maturity Evaluate your readiness and performance in leveraging data and AI technologies by analysing key areas such as data quality, governance, machine learning capabilities and AI integration.

Responsible AI & ethics Responsible data & AI is about building technology that is trustworthy, fair and transparent and using data to make informed decisions, while aligning with ethical standards, respecting privacy, avoiding bias, and promoting equality.

Vision & strategy We help you create a data vision by defining a strategic statement that outlines how your organisation handles data to achieve business goals. We then turn this vision into a roadmap that prioritises how data is leveraged as a strategic asset to create value and inspire future growth.

Architectural advice Your IT and data architecture may have evolved over time in ways that no longer support your data and AI initiatives. By analysing your current architecture and aligning it with your data and AI roadmap, we identify improvements to help modernise and optimise your architecture. A strong architecture is essential for delivering consistent, reliable AI-driven solutions that scale effectively.

Data & AI roadmap Through a roadmap of concrete and prioritised use-cases aligned with your business goals, we help set the path towards using data and AI effectively. This gives a clear agenda on how to utilise your data and lay a solid foundation for creating your data & AI initiatives.

Utilisation

Utilising AI & data to acquire insights and help realise business goals

Analytics & storytelling Data storytelling is a highly useful skill for any data professional to have. Where line graphs, pie charts and bar charts can give you a visual representation of data, data storytelling can help to bring any data to life and give it a clear narrative. It’s not just for the big issues or big stories – data storytelling can help bring any corporate report to life and make it actionable.

Data modelling Data modelling is the process of creating a visual representation of a system or database to illustrate how data is organised, stored, and interrelated. It aids in designing databases and systems by defining data structures, relationships, and rules, enabling easier understanding and effective data management.

Gen AI Generative AI (GenAI) creates significant value for organisations by delivering innovative solutions, automating processes, and enhancing decision-making. By leveraging vast data sets, it generates meaningful insights and outputs, relying on high-quality data and advanced technologies. GenAI drives efficiency, personalisation and creativity, unlocking new opportunities across a wide range of industries.

Computer vision Computer vision creates value for organisations by automating the analysis of visual data and improving accuracy in tasks such as quality control, security, and diagnostics. Leveraging advanced AI and data technologies, it interprets images and videos to enhance efficiency, enable better decision-making, and unlock new capabilities across industries like healthcare, manufacturing and retail.

Automation Automation refers to the use of algorithms, machine learning models and data-driven processes to automatically perform tasks that traditionally require human intervention. This includes data collection, processing, analysis, and decision-making, allowing systems to operate more efficiently and at scale with minimal manual input.

Foundation

Foundation needed to make AI & data available and fit for purpose

Data engineering Data engineering in data and AI refers to the design, construction, and maintenance of the infrastructure and systems required to collect, store, process, and analyse large volumes of data. It includes tasks such as creating data pipelines, integrating data sources, and optimising processes to ensure data is reliable, accessible, and in a usable format for machine learning models, analytics, and AI applications.

Data platform: integration & migration A data platform is an integrated system that offers tools and infrastructure for collecting, storing, processing, and managing data. It enables advanced analytics, machine learning, and AI-driven insights, supporting the entire data lifecycle – from ingestion to analysis. By facilitating the development of AI models, it drives automated decision-making and intelligence across business processes.

Data & AI governance Ensuring high data quality is the cornerstone of effective data and AI governance. It provides a framework of policies, practices, and standards that ensure the proper management, security, and ethical use of data and AI systems within an organisation. This includes maintaining data integrity, ensuring regulatory compliance, and overseeing the responsible deployment of AI technologies to guarantee fairness, transparency, and accountability.

Business & data catalogue We help streamline access to your data and enable smarter decisions with a business and data catalogue. This platform organises and curates your data assets, providing teams with clear definitions and context, making it easy to discover, understand, and utilise the right data when they need it.

Master & reference data We centralise and standardise your core business data – such as customer, product, or location information – ensuring it is consistent, up-to-date, and reliable across all systems. By eliminating duplicates and discrepancies, we enable smoother operations, improved decision-making, and enhanced data quality.

Our AI services are designed to support you at every step of your journey

Click/hover the circles to view more

Strategy

Vision and strategic approach to use AI & data effectively

Data & AI maturity Accelerate your AI capabilities by assessing your AI maturity. This evaluation measures your organisation’s readiness to adopt AI by analysing factors such as machine learning expertise, governance, and innovation potential.

Responsible AI & ethics Responsible AI and ethics encompass the principles and practices that ensure AI systems are developed and used in a fair, transparent, and human rights-respecting manner. This includes ensuring AI decisions are unbiased, safeguarding user privacy, and maintaining accountability for AI actions to prevent harm and foster trust.

Vision & strategy An AI vision is vital for fostering innovation, improving decision-making, and unlocking hidden value in processes, data, and technology. It aligns with corporate strategy by driving efficiency, enhancing customer experiences, and providing a competitive advantage, ensuring AI integration supports overarching business goals.

Architectural advice AI architecture aligns with data and enterprise architecture by integrating data pipelines, governance, and scalable infrastructure. This alignment ensures seamless data flow, supports AI model deployment, and fosters agility. A robust AI foundation is crucial for delivering consistent, reliable, and scalable AI-driven solutions.

Data & AI roadmap An AI roadmap is crucial for executing your AI strategy, offering clear milestones and direction. It ensures alignment with business goals, prioritises key AI initiatives, and allocates resources efficiently. By driving focus, accountability, and long-term success, it serves as a foundation for effective AI adoption.

Utilisation

Utilising AI & data to acquire insights and help realise business goals

Analytics & storytelling Transform your data analytics into compelling narratives with data storytelling. We bridge the gap between complex analytics and actionable insights, ensuring sophisticated data models and predictions are translated into clear, strategic recommendations that drive business success.

Data modelling

Gen AI Generative AI (GenAI) creates significant value for organisations by delivering innovative solutions, automating processes, and enhancing decision-making. By leveraging vast data sets, it generates meaningful insights and outputs, relying on high-quality data and advanced technologies. GenAI drives efficiency, personalisation and creativity, unlocking new opportunities across a wide range of industries.

Computer vision Computer vision creates value for organisations by automating the analysis of visual data and improving accuracy in tasks such as quality control, security, and diagnostics. Leveraging advanced AI and data technologies, it interprets images and videos to enhance efficiency, enable better decision-making, and unlock new capabilities across industries like healthcare, manufacturing and retail.

Automation Automation is the use of algorithms, machine learning models, or robotic systems to perform tasks with minimal or no human intervention. Often applied to repetitive, complex, or data-driven tasks, automation enhances efficiency, accuracy, and scalability by enabling machines to handle them autonomously.

Foundation

Foundation needed to make AI & data available and fit for purpose

Data engineering Data engineering in the AI domain focuses on designing, building, and managing systems to collect, store, and process large datasets, enabling machine learning and AI models. This involves tasks such as data cleaning, integration, transformation, and ensuring data is well-structured and accessible for efficient AI model training. It forms the foundation for creating accurate, reliable, and scalable AI solutions.

Data platform: integration & migration A data platform is a system that delivers the infrastructure and tools required to collect, store, process, and prepare large datasets for training, deploying, and managing AI models. It ensures seamless access to high-quality data, facilitates efficient data pipelines, and supports the scalability essential for AI-driven analytics and decision-making.

Data & AI governance High-quality data is the foundation of safeguarding your AI investments through AI governance. We help you establish clear guidelines, ethical frameworks, and accountability measures to ensure your AI systems are transparent, secure, and aligned with your business goals.

Business & data catalogue

Master & reference data

Our data services are designed to support you at every step of your journey

Click/hover the circles to view more

Strategy

Vision and strategic approach to use data effectively

Data & AI maturity Determine your position in your data journey with our ‘Data Maturity Scan’. This assessment evaluates how effectively your business manages, integrates, and utilises data in alignment with your vision and strategy.

Responsible AI & ethics Ensuring that permitted data is utilised ethically, without bias, and in a resilient, transparent, and performance-driven manner.

Vision & strategy We help you develop a data vision by crafting a strategic statement that defines how your organisation manages data to achieve its business goals. This vision is then transformed into a clear roadmap, prioritising the strategic use of data as an asset to drive value and foster future growth.

Architectural advice Your IT and data architecture may have evolved over time in ways that no longer effectively support your data and AI initiatives. By assessing your current architecture and aligning it with your data and AI roadmap, we identify critical improvements to modernise and optimise. A strong architecture is vital for delivering consistent, reliable, and scalable AI-driven solutions.

Data & AI roadmap A data roadmap is a strategic plan that defines how an organisation will collect, manage, analyse, and utilise data over time. It includes clear goals, timelines, and actionable steps to ensure data initiatives align with business objectives and deliver measurable value.

Utilisation

Utilising data to acquire insights and help realise business goals

Analytics & storytelling Turn your data analytics into compelling narratives with data storytelling. We transform complex data into clear, engaging stories that inspire action and deliver impact. Using insightful analysis, dashboards, and visualisation, we empower your team to understand key insights and communicate the value behind the numbers effectively.

Data modelling Data modelling is the process of creating a visual representation of a system or database to illustrate how data is organised, stored, and interrelated. It aids in designing databases and systems by defining data structures, relationships, and rules, enabling easier understanding and effective data management.

Gen AI

Computer vision

Automation Automation leverages technology to streamline and execute data-related tasks with minimal human intervention. This encompasses processes such as data collection, cleaning, transformation, analysis, and reporting, enabling faster, more efficient handling of large datasets while reducing errors and minimising manual effort.

Foundation

Foundation needed to make data available and fit for purpose

Data engineering Extracting, cleaning, testing, and transforming data in a highly automated manner to efficiently prepare data at scale for AI and actionable insights.

Data platform: integration & migrationDesigning and building fit-for-purpose data platforms in the cloud, including data warehouses, data lakes, lakehouses, and streaming platforms, all set up using self-service infrastructure and data mesh principles. We define and execute a clear data migration and integration strategy, leveraging our best-practice approach for application-to-application migrations or on-premise to cloud transitions

Data & AI governance High-quality data is essential for ensuring your data is secure, reliable, and compliant through effective data governance. We help you establish clear policies, processes, and standards to manage data effectively across your organisation.

Business & data catalogue We help streamline access to your data and enable smarter decisions with a business and data catalogue. This platform organises and curates your data assets, providing teams with clear definitions and context, making it easy to discover, understand, and utilise the right data when they need it.

Master & reference data We centralise and standardise your core business data – such as customer, product, or location information – ensuring it is consistent, up-to-date, and reliable across all systems. By eliminating duplicates and discrepancies, we enable smoother operations, improved decision-making, and enhanced data quality.

How we deliver
value to our clients

In today’s fast-paced digital landscape, businesses must harness data and AI to drive innovation and efficiency. Our data and AI solutions empower companies to unlock insights, automate processes, and make smarter decisions at scale.

Get In Touch

01

End-to-end project delivery

We deliver end-to-end projects, combining data specialists with deep technical expertise, experienced project managers, and skilled analysts.

02

The right partner for co-creating solutions

We assemble the right team and define the best way of working, ensuring knowledge transfer to the client when our consultants leave.

03

Cost-effective delivery with hybrid teams

We build teams with the right skill levels, combining local resources with nearshore team members. This hybrid model ensures cost efficiency and scalability.

04

Smooth operations through managed services

Through managed services, we take care of maintaining your data environment with active monitoring, issue resolution, and regular updates.

Our Partners

Partners full list

Case Studies

Our Success Stories

Making sure companies are in their best possible shape – fit for the future – is the core of what we do. We help companies do so through pioneering with the newest technological innovations and together we learn what works. This is what we’ve learned so far.