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Artificial Intelligence

In this digital age, where innovation reigns supreme, Transparity stands at the forefront as your trusted partner for AI consultancy services.

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Elevate your business with Transparity AI consultancy services

At Transparity, we’re not just keeping up with the future, we’re helping you shape it. Introducing our cutting-edge Artificial Intelligence Consultancy Services – your gateway to transformative business solutions.

A crucial part of any machine learning project is the core data being used / analyzed. Since the building of machine learning models can be involved, it’s always advised to review the overall architecture of a system to ensure that delivery is swift and successful. This is where the AI readiness review comes in. At Transparity AI, one of the very first steps we take is to review everything we need to build a successful machine learning model, that way from the start we have a strong foundation meaning a swift return for you and your teams.

“Transparity provide us with invaluable services and support. This has enabled us to continue to develop and evolve our BI Solution, which provides critical insights for our business.”

Bala Baskaran – BI Technical Manager

Embrace the future with confidence

Transparity’s AI Consultancy Services are your gateway to realising the full potential of AI. Together, let’s revolutionise your business and shape a brighter tomorrow.

Strategic Partnership

We don't just deliver solutions, we forge lasting partnerships. Our team becomes and extension of your organisation, working collaboratively to implement AI-driven strategies that drive real-world results.

Proven Expertise

With a deep bench of AI experts, data scientists, and engineers, we bring unparalleled technical knowledge to the table. We leverage the expertise to design and deploy AI solutions that make a meaningful impact on operations.

Cutting Edge Technology

Staying at the forefront of technological innovation is in our DNA. We adopt the latest AI technologies, from machine learning to natural language processing, to create solutions that are ahead of the curve.

Data Driven Insights

Data is the lifeblood of AI. We help you harness the power of your data to gain actionable insights, make informed decisions, and enhance customer and end user experiences.


Our solutions are built with scalability in mind. Whether you're a startup or an established global enterprise, we ensure our AI strategies and models can grow with you.

Real Results

At Transparity, we measure success by the tangible impact we bring to your bottom line. Expect improved efficiency, reduced cost, enhanced experiences and competitive edge.

Let's discover the possibilities together

As a part of the initial scoping sessions, a key part of the Transparity methodology is Discovery.

We carry out an AI / ML readiness assessment which comes in the form a number of workshops with key personnel in order to determine whether a data science project is feasible and what groundwork (if any) needs to be done before a project can begin. As a part of this readiness assessment there are a number of components which are looked at, some of which are:

• Data Availability
• Data Quality
• Data Transport Architecture
• Access to Tooling
• Reporting Maturity

Being a Microsoft partner, Transparity leverage all of the security, consistency and functionality of the Azure suite of tools.

This includes Azure DevOps for version control and project tracking, Azure AI insights (previously Azure Cognitive Services) for machine learning modules and code, Azure AD (soon to be Entra ID) for security around access to data and model development.

Machine Learning Contains Two Main Schools of Technology: Supervised and Unsupervised

Machine learning and Artificial Intelligence are centered around innovations which allow computer programs to be trained / exposed to data sets and for the program to either learn pre-determined patterns within the data set so they can be recognized in future data sets or can automatically detect patterns within unknown data sets. These are known as supervised and unsupervised learning, respectively.

  • Supervised: a section of data science which involves the detection of pre-determined patterns. Common examples of supervised learning are to predict values such as prices, to classify entries such as spam emails or identify visual patterns from videos such as Automatic Number plate recognition (ANPR) systems.
  • Unsupervised: a section of data science which involves allowing programs automatically detecting patterns within data, without human intervention. This is very powerful when the dataset being reviewed is not categorized, since it can provide clusters or relationships within data that the end user may not be aware of. Some examples would be detection of segmentation groups or finding anomalies within data.

As part of the Azure suite of tools, there are a number of options available when it comes to choosing the correct environments for building machine learning models.

  • No Code / Low Code Options: A modern approach to developing machine learning models which allows users to build models without the need to fully understand the mathematics or background of the models themselves. They provide user friendly interfaces which simplify the production of machine learning models. They have limitations but are good for small or very specific projects.
  • Full Code: are as they sound, a fully custom-built machine learning model built withing a variety of coding environments. Generally required when there is a large amount of customization needed. The downside to full code models is that by the nature of them being custom, they take much longer to build.

As a part of the project, training will be provided to ensure you understand the structure of the models, the layout of the environment and the location of support materials.

All of this will aid you in diagnostics and model support, and riven ownership of the solution delivered. As a part of this statement of work, a support package will be developed in agreement with Transparity to ensure that models are supported where needed. There are key components that should be understood (where possible) which will allow the business support team of the models to aid in diagnostics and determine any modifications needed.

This can be managed as part of a standard Support and Minor Mods agreement where you have one.

Data Science solutions delivered, as with most data science solutions, require maintenance, modifications, and issue resolution from time to time.

Transparity also like to be able provision time to help clients with small changes or answer queries on an ad-hoc basis, without the need to raise PO’s or book in work. We offer a combined approach to support and minor modifications.

A typical Transparity client would have 4-5 days per month (1-2 days for support and maintenance and 3-4 days for minor modifications).

Want to know what makes us tick?

The Transparity methodology can be summarised in three core values. Through them, we can continue to thrive in our work, and you can see them reflected in everything we do. and the mutual results we achieve together.


Honesty, reliability, and communication are core to our services. We are proud to be industry experts, and trust in our skills and experience. We don’t shy away from difficult questions and work together to generate the best results for our customers in a clear and effective manner. 


We’ll never inundate you with unreadable jargon. With Transparity, we want to communicate our processes in a hassle-free, easily understandable format to ensure you understand our work every step of the way. 


Data is the starting point of everything we do, and ensuring its value is fully realised in any business is the end result of our work. We’re fully devoted to delivering the best results and thrive on our successes. We measure our achievements on the benefits our solutions bring and always look for the next opportunity to add value and empower growth. 

Data & AI Customer Stories

Over the last few years, we have provided ongoing DevOps for the patient management system of The Care Database. The ongoing development has covered over 70 CRS and has improved a wide variety of functionality of the software including form building, reporting and body mapping.

With a strong partnership forged, we have created and streamlined reporting capabilities for Versilia. More than three years after our original introduction, we’re still developing new and exciting projects.

Learn how DAA achieved a consistent baseline reporting capability and full analytics associated with these systems.

Proud to be recognised as trusted partners

We’re proud to hold all six Microsoft Partner Designations and Azure Expert MSP status, firmly placing Transparity amongst the most accredited Microsoft Partners in the world.  

With decades of combined experience our industry-leading technical experts pride themselves on delivering exceptional customer outcomes and creating long-term partnerships.

Our continuous drive to deliver high-quality support and expertise has been formally recognised through our Microsoft Gold Partnership. 

Organisations that hold a gold partnership with Microsoft have demonstrated their ongoing capabilities to provide exceptional service and support to clients. This is a partnership we are incredibly proud to maintain. 

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