More than a consultant
A strategic technology partner

It's time to take the tech out of the sci-fi blockbuster, and put it into your business.

In simple terms, machine learning is a form of Artificial Intelligence that allows a system to learn from data rather than through programming. And in even simpler terms, it is a must-have for your business.

As we enter an age built on real-time data analysis, greater volumes of said-data are at hand. However, most businesses either ditch the data, or only use a fraction of its capabilities. Machine learning is the answer to this.

By creating AI solutions via data science we can optimise your business processes and perfect your products.

team meeting in an office
employees talking in an office
employee looking at graphs
Plan &

We start with your business. We discuss and determine what capabilities you expect from machine learning via Agile methodology, and we apply our know-how to decipher the AI technology we can use for your project.

Develop & Launch

Having identified the problem at hand, we then form the basic framework for the algorithm, considering your concerns and your position in your industry. Writing and coding the algorithm completes this part of the process.

Maintain &

Your business shouldn’t aim to stagnate; as it shifts, rethinks, and realigns with your wider industry we can retune your machine learning technology to take on new capabilities and ensure it meets your business’ standards.

Tailoring Your Business’ Individual Consulting Solution

Your algorithm doesn’t have to be personal - it’s how you utilise the capabilities of your machine learning that matters. By tapping into your customers’ data regarding their exact wants and needs, you can align your AI with your marketing.

It’s not all about personalisation; it’s about creating marketing experiences that engage your customers. And you can determine what this specifically equates to via machine learning. Tap into the resources of data and leave the analysis to the computers.

Analysing spreadsheets of data isn’t just for the interns, anymore. Hand over time-consuming tasks to the machines, and let your team get back to the work they can use their time more effectively.

developer on the phone with code on his computer
employees looking at code on computer in an office
a male employee builds a robot with tools
Jeremy Garcia - Simply Brands
Anyone with a growing business needs technology in order to succeed. Our internal team productivity jumped by over 241% thanks to the tools and code that Lolly Co produced.
Jeremy Garcia - Simply Brands

Jeremy Garcia
Director of Technology, Simply Brands

We Assess

At the centre of embarking on business solutions using Artificial Intelligence is the need to consider the components of your business that require a rethink, and the data you want to harness for your business. But we don’t just take your perspective into account.

We consider a variety of factors that can guide us to your machine learning solution by bearing in mind your industry, the potential scalability that will be required in the future, the implementation of natural language processing, and the type of machine learning your business requires. This can range from supervised learning, unsupervised learning, reinforcement learning, and deep learning.

Our focus is your business, and how we can align it to your future machine learning capabilities. And keeping up that dialogue with our clients doesn’t end with this stage.

two employees laugh together in a meeting
a consultant talks to a client in an office
a male employee uses a laptop next to servers
woman writing on postits on clear board
employees looking at laptop in office
employees discussing document in an office
We Apply

Having translated your concerns into a technology solution, our AI experts and data scientists then lay out plans for their machine learning software. The fundamental building blocks of this software includes merging capabilities with your current system, affordable platforms, and exportable models.

By ensuring we’ve brought together the appropriate data, the appropriate models and the correct algorithm, we can be sure to have brought together a streamlined system dedicated to your data needs. Capabilities on top of this can include accessing hidden values from data with a focus on accuracy, cloud solutions for team-based deployment, text analytics, computer vision oriented technologies, machine learning models, and geospatial analysis.

Yet despite the technical terms and the complexity of digitalisation, our focus is not on producing merely sophisticated software; it’s about producing your software.

We Review

Matching our arsenal of algorithm-based skills to your business’ specific needs is no easy feat, and cannot be completed without rigorous testing. From your own employees' perspectives and problems regarding the software, to your customers’ feedback, finding the fixes and streamlining the software is central to your business’ digitalisation.

Yet beyond the testing of the software to a finalised product is the need for constant maintenance. Businesses do not stagnate; they evolve. So, it follows that your machine learning project must align with the need to adapt.

Our team of programmers can provide the constant maintenance required to ensure it meets your business’ standards and needs, or allow your own team to tap into its maintenance when it encounters a business problem.

male developer codes on a computer in an office
employees using a tablet
backend developer coding at a desk

+ What is machine learning?

Machine learning is the application of artificial intelligence to provide systems with the ability to learn and improve processes and actions from experience automatically without extra programming.

+ What is the best programming language for machine learning?

A number of programming languages can be utilised for machine learning. This includes Python, C++, JavaScript, Java, C#, Julia, Shell, and TypeScript. Python is considered the best language for it.

+ Is machine learning hard?

The science of machine learning is by no means a simple concept to grasp. It takes 6 months of study and cannot be completed by novices. Thus, it should be handed over to the experts.

+ How is machine learning used?

Machine learning is utilised by a wide range of sector for an even wider range of purposes. This includes data security, personal security, financial trading, healthcare, and marketing strategy.