Solutions driven by Artificial Intelligence

AI services by BrightMinded

We currently offer two services to our clients:

Our AI software development process

We draw upon many years of AI software development solutions and project delivery experience.

Our proven five-step approach is designed to save you time and money, ensuring we get to the right conclusions as quickly as possible and only build a solution when we agree that there is a high probability of success of your project.

We begin with the selection of the use case that has the most potential value for you in stage one. We agree on the objective of the use case, the data the engine will include, and the set up and timeline of the proof of concept.

Stage two is a proof of concept: we set it up and run it for you. This is an iterative process, whereby we give you access to a dedicated environment to allow you to test the use case and we fine-tune the underlying engine and refine the solution based on your feedback.

Stage three is about how to proceed, which will be based on the outcome of the proof of concept work. If the proof of concept shows the potential of a successful implementation, we’ll agree on your requirements for how to integrate our engine into your infrastructure. We’ll agree what will be delivered in which timeframe and for what budget.

Stage four is development & go live. We build the initial implementation of your solution and we integrate our engine into it as agreed. We then install your solution including any custom built integration, license our engine to you, and train the relevant staff on how to use it.

Finally, we can also provide ongoing hosting, support, and maintenance of your solution to ensure you continue to get the help you need. This includes performing any required upgrades in the technology stack, and evolve the platform according to your requirements.

The result? An efficient and streamlined process that delivers the solution that generates the most value for your business.

What can AI software do for businesses?

There are typically three types of applications where businesses have benefited from Artificial Intelligence (in its machine-learning guise):

• categorisation: How can we automatically sort customer feedback into categories like ‘service quality’, ‘product issues’, or ‘billing problems’ to efficiently address and analyse specific concerns?
• estimation: What is the estimated lifetime value of a customer based on their purchasing history and interaction with our marketing efforts, so we can tailor our engagement strategies more effectively?
• prediction: Can we predict which products a customer is likely to purchase next based on their browsing and purchase history, enabling us to personalise recommendations and increase sales?

These applications all focus on analysing your existing data. However, recent advances in AI have introduced the spectacular capabilities of Generative AI, spear-headed by what are known as Large Language Models (LLMs) with OpenAI GPT4 and the new Google Gemini as the current crown jewels.

These models are interactive, display remarkable fluency in English and can perform sophisticated inference over unstructured data, but their main strength is that they can generate content.

LLMs have opened up a host of new commercial opportunities that were not available before and that can be integrated into your business today. Here are just a few:

• content creation: generate high-quality, engaging content for blogs, social media, and marketing materials to save time and resources
• customer service automation: power chatbots, customer service portals and knowledge experts, providing instant, accurate responses to customer inquiries 24/7
• insight generation: summarise, analyse vast amounts of unstructured data from customer feedback, market research, and social media to identify trends and insights that inform business strategies
• language translation: offer real-time, accurate translation services for our global customers, enhancing communication and customer satisfaction
• personalisation and recommendation: personalise customer experiences on digital platforms, recommending products, content, or services based on user preferences and behaviours
• educational tools and tutoring: create educational content and personalised tutoring services that adapt to the learning pace and style of each student. Generate tests, exams and automatically score students work
• sentiment analysis: conduct sentiment analysis on customer reviews and social media mentions to gauge brand perception and customer satisfaction

AI application development by BrightMinded

AI is not something new, it has been around since the 1960s. There many techniques and tools that can be classified as Artificial Intelligence. LLMs, like the one ChatGPT is based on, are just one category of models built on older techniques like neural networks.

We have been using AI techniques and tools for the past two decades. The founders were members of the team that created and managed an optimisation tool used by the major financial institutions in the City to structure derivative products. This optimisation tool was based on a genetic algorithm that looked for arbitrage opportunities between the risk and the pricing models for such products.

After that a similar algorithm was produced to spot Liability Driven Investment opportunities for asset management companies.

At BrightMinded, we successfully participated in the IBM Watson developer challenge and became the first agency in Europe to gain access to IBM’s cognitive computing platform in 2014.  We developed an app for the fitness industry whereby instructors could query relevant fitness and medical documents in conversational English to get answers to queries that might come up during their working day.

Since early 2023 we have focused on the potential of the emerging Large Language Models. We have contributed to the Auto-GPT and LangChain projects.

If you want to explore more about some of these techniques try some of the blogs and videos we have produced over the years below.