causaLens is a UK-based software company founded in 2017, specializing in the development of advanced machine learning technologies, particularly in the realm of causal reasoning. The company focuses on exploring the capabilities of small language models (LLMs) to enhance causal reasoning through supervised fine-tuning with synthetic data, as detailed in their initial report on the Claire project. This project involves generating training data using GPT-4.1 and fine-tuning various LLMs to improve their performance on causal reasoning tasks. The report indicates that the Claire-1.5B and Claire-7B models have shown promising results in outperforming their base counterparts in specific benchmarks, although challenges remain in generalization and data diversity. Additionally, causaLens publishes white papers that contribute to the discourse on causal AI, further indicating their commitment to advancing the field. With a workforce of 51 to 200 employees and reported revenue of approximately $30 million, causaLens aims to develop novel intellectual property that could inform future product development and attract interest from venture capital.