AI/Machine Learning Experts

Our team of AI academics and practitioners, can help you surface key insights and implement complex AI solutions.


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Facebook Deep Tech

We are an alumni of Facebook’s Deep Tech Accelerator. A program for machine learning companies tackling important problems.

Google Partnership

We are partnered with Google AI. Google’s engineers support our project delivery and can attend client meetings with us if needed.

Best Engineers

Our AI engineers are PhD researchers from some of the best universities in the world. We have experience across many disciplines including professional services, transportation, health and sales.

Product Practitioners

We pair our AI engineers up with expert practitioners in product design and development, in order to deliver smart solutions that actually work.

Looking for expertise?

If you identify with any of these problems we can help.

“We think our challenge can be solved using AI but we have no idea where to start.”

“We need to prove to leadership that data science solutions are right for us before investing.”

“We don’t have an in-house data science team, it’s hard to get access to the right experts.”

“We have a large amount of internal data that we’re not yet gaining insights from. ”

“Our data science team is too small to cope with all of the challenges we’re facing.”

“If we're smarter with how we use our data, our people will be freed up to do more impactful work.”

Our team of AI academics and practitioners

Our dedicated team of AI academics and practitioners are specialists at solving challenges through the use of machine learning, across a diverse range of industries. Our team will help you solve complex business challenges and derive valuable, actionable insights, taking care of your entire project from data preparation through to implementation.

Our key strength is that we pair our AI academics with product specialists. This means that the solutions that we produce are ones that not only solve the actual problem but also work in your day to day operations.

Building AI doesn’t have to be expensive and not every project takes weeks or months to deliver. Whether your project is big or small, we can work with you. For smaller projects, we are able to charge per hour or per day.

Our Approach

We will guide you through the discovery phase, step-by-step. Together we will explore your requirements to ensure we build a robust solution.

Introductory Chat

We will get in touch for a free 30 minute chat to discuss the problem you'd like us to help you solve and whether the project is the right match.

Architecture Session

We organise a paid architecture session where we explore the requirements in depth. After this session, we will research the best options to present back to you.

Present our Recommendation

Once we determine there is a fit for Machine Learning, you will receive a detailed report outlining our research and recommended approach, including milestones, timelines and estimated cost.

Project Sign-off

Once you have confirmed that you are happy with our proposed approach, we will sign a Statement of Work outlining the project details, timelines and cost. Note that the IP will always belong to you. 

Support and Maintenance

We are committed to being your long-term partner, and can help build new features or iterate. We can also assist with in-house team integration or help you to build your new team to take over the project.

Quality Assurance

We give warranty on all of the systems and platforms we build. We use automated testing to make sure that all of our platforms are ready for production and bug free.

Agile Methodology

We work using agile methodology, an approach to software development, where requirements and solutions evolve through the collaborative effort of cross-functional teams.

Automating unstructured document scanning using ML

Together with PwC, using problem-centric thinking and the latest advances in technology within this space, we were able to test the application of Optical Character Recognition (OCR) and Machine Learning to process complex documents at scale. We broke new ground in how neural networks can be applied to document scanning, extraction and analysis.
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