Check out some of the complex industry problems we've solved using AI

Traditional methods of aerial surveying and mapping rely heavily on GPS for localization, which can be inaccurate in urban canyons or non-existent in hostile environments where jamming is widely used to render drones inoperable.

Insurance claim reports require the evaluation of damage done to cars to assess how much compensation should be rewarded.

Our client wanted to explore the use of recent advanced techniques such as the Temporal Fusion Transformer to predict future electricity prices across Europe.

The agency was facing a challenge in processing the vast number of CVs they received. Each client had different requirements for how they wanted the CVs formatted, and manually adjusting each CV was a time-consuming task.

The client's employees often found themselves spending a significant amount of time searching through various documents to find answers to their questions.

Designing chemical engineering processes that can effectively separate multicomponent mixtures (e.g., natural gas, biofuel or crude oil) under varying physical constraints is a time-consuming and expensive process.

Our client was interested to understand how AI could enable the autonomous coordination of a heterogeneous fleet of vehicles (both manned and unmanned) in complex and dynamic environments.

The ability to survey large areas is crucial in many applications, such as disaster response, border patrol, or protecting endangered animals from poachers.

Foreign exchange trading is a fast-paced environment in which traders require quick and accurate predictions of price movements to make informed decisions.

Discover how AI can revolutionize the agricultural industry by automating disease detection in crops, leading to quicker decision-making and increased efficiency.

The process of manually cutting out vehicles from the background of an image in order to transpose them onto a professional background is slow, expensive, and requires human intervention.

Dot Square Lab recognised the transformational potential of text-to-image generative - which uses a text-based prompt to generate high-quality and personalised images - in multiple sectors, from marketing, graphic design, construction and more.

Quality assurance for high-end products, such as car lights, often involves rigorous visual inspections performed by human operators.