Generative AI
Systems capable of creating new content like text, images, audio, or code based on training data, often leveraging deep learning techniques and Retrieval Augmented Generation (RAG) to access and process data from your existing systems.
Off-the-shelf software rarely fits perfectly, and AI solutions are no different. Generic tools might seem attractive initially, but they often create as many problems as they solve – forcing you to adapt your processes to match their limitations rather than addressing your specific needs.
At DeeperThanBlue, we build AI applications that fit your organisation precisely. This means understanding not just what you want to achieve, but how your teams work, what data you have available, and what constraints you need to respect. The result is AI that feels like a natural extension of your existing operations rather than an awkward bolt-on or force fit.
We believe AI should solve real problems, not create impressive demos. Our development process focuses on building systems that your people will actually use and that deliver measurable improvements to your business performance.
Turn your ambitions into realityThe AI landscape offers dozens of different approaches, each with distinct strengths and limitations. Choose poorly, and you might find yourself locked into expensive platforms that don’t scale, or wrestling with tools that require more technical expertise than your team possesses.
Our role involves matching the right technology to your specific requirements. We consider factors like your existing infrastructure, your team’s technical capabilities, your data security requirements, and your budget constraints. This might mean recommending generative AI for content creation, machine learning for pattern recognition, or neural networks for complex analysis tasks.
The key is ensuring the technology serves your business goals rather than forcing your business to accommodate technological limitations.
We use agile methodologies because AI development benefits from iterative improvement and rapid feedback loops. This approach minimises risk while maximising learning opportunities. You see results quickly, can adjust direction based on real experience, and avoid the common trap of over-engineering solutions before understanding what actually works.
Here’s how we typically work:
1
Discovery workshops
These help us understand your specific challenges and identify where AI can make the biggest impact. We focus on problems that occur repeatedly across your organisation, since these offer the best return on AI investment.
2
Rapid proof of concept development
A POC lets us test our assumptions quickly. Rather than spending months building something that might not work, we create basic prototypes within days or weeks to validate the core concept.
3
Minimum viable product creation
The MVP follows successful proof of concepts. We build the simplest version that delivers genuine value, then get it into production quickly – often within weeks rather than months.
4
Scalable expansion
This stage happens once we’ve demonstrated clear return on investment. We then help you roll out the solution more widely across your organisation, adapting it as needed for different contexts or user groups.
We design and develop AI solutions using whichever AI approach best fits your requirements:
Systems capable of creating new content like text, images, audio, or code based on training data, often leveraging deep learning techniques and Retrieval Augmented Generation (RAG) to access and process data from your existing systems.
Developing systems that learn and improve from data without explicit programming, enabling pattern recognition and predictive modelling.
Utilising brain-inspired models and multi-layered artificial neural networks for advanced tasks such as image and speech recognition.
Implementing technology and digital tools to enhance and support learning processes, such as virtual reality simulations and interactive multimedia.
We apply AI to transform core business processes, creating solutions that deliver real impact:
For software development, we leverage tools like IBM watsonx Code Assistant, an AI-driven tool that significantly accelerates the software development lifecycle. It assists developers in writing, reviewing, and improving code more efficiently by automating repetitive tasks and providing intelligent suggestions.
This tool ensures improved code quality, reduced costs, enhanced developer productivity, and faster time-to-market.
We have developed a number of AI use cases. Take a look at a few of our demonstration applications here.
We see ourselves as partners in your AI journey rather than just suppliers. Whether you’re exploring your first AI project or scaling existing implementations across your enterprise, we provide the expertise and guidance needed to make your investment successful.
Our approach combines strategic thinking with practical implementation skills. We help you understand what’s possible, make informed decisions about technology choices, and build solutions that actually deliver the benefits you’re looking for.
+44 (0)114 399 2820
info@deeperthanblue.com
