Make sense of complex consumer data.
Combining deep technical expertise.
With domain knowledge across Consumer Goods, Retail and Market Research.
Qualifai is a boutique AI consultancy with the mission to help companies design and develop robust, reliable machine learning solutions that can deliver game-changing insights.
By collaborating closely with our clients and combining deep technical expertise with industry knowledge, we provide a clear path to a tangible return on their data investment, and crucially, business revenue and profit growth.
We work with you to build out your data & AI strategy and support you throughout its implementation; providing you with a clear path to delivering solutions that can scale.
Our approach is fast and collaborative in nature and we will strive to understand the specific challenges and opportunities within your company and industry.
Define your data science and AI strategy, identify the use-cases which will deliver bottom line growth for your business and build the product roadmap you can believe in.
Design and develop AI solutions, from solution architecture, through to model development, testing and deployment.
Re-engineer existing solutions to become more reliable, robust and automated, and reduce time spent on fixing issues, so more time can be spent developing new solutions and features.
For a leading US-based Market Research company in the Consumer Goods & Retail space, we developed and implemented a comprehensive Data Science & Engineering strategy. We supported their roadmap to delivering cutting edge customer insights for health and wellness brands, applying natural language processing to data from eCommerce, social media and surveys.
A global university education company that offers courses and qualifications to students from all corners of the world came to us with the task of evaluating their prospective AI solution vendors. We provided a comprehensive assessment of several AI professional service providers and software solutions, comparing multiple key criteria and helped the client develop their product delivery roadmap.
We worked with a UK-based social media start-up to design and develop a set of user-scoring algorithms. This involved collaborating with the leadership team to conceptualise the scoring methodology and data sources, incorporating graph neural network techniques to provide insights around their user's behaviour.
With 2023 now in full swing, we are in the midst of a red-hot AI summer. It can be a job in itself, keeping up with all the developments within AI, while ignoring distractions. Here were summarize some of the AI trends to watch out for in 2023, so you can keep up with current developments.
There are many articles out there which provide a high-level overview of statistics and machine learning for non-technical executives. However, these are often so high-level that they don’t provide a good understanding of the underlying process and mathematics or require a background in programming and mathematics which the reader may not have. In this article, we take a detailed look under the hood at exactly what is being done when we train a Machine Learning model, without the need for a programming or strong mathematics background.
For a long time, people have not really thought of computers as creative, or original. To automate mechanical and repetitive tasks, sure, computers are fantastic, but for inspiration and creativity, surely this was the sole domain of humans? Over the past few years there have been huge advances in artificial intelligence for the purpose of content generation, and this assumption that machines cannot innovate or create, is rapidly eroding.