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

We benchmark OCR, proprietary APIs, and Vision Language Models for document parsing and QA, introducing DSL-QA as a reliable dataset for evaluation.

MCP is a new open standard that enables LLMs to dynamically access external tools and data, offering a more AI-friendly and adaptable complement to traditional APIs.

Explore OpenAI's gpt-oss-120b & gpt-oss-20b, powerful open-weight language models under Apache 2.0 license, democratizing advanced AI research and deployment.

The client is Inform(Ed), an education-focused startup founder, sought an innovative solution to process and extract value from audio recordings of school lectures.

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.

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.

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

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

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.

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.

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.

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