Modern language models learn from text scraped from the web. The data reflects inherent biases among society. Bias, toxicity or authoritative-sounding nonsensensical answers can remain - even after training an AI to respond to natural language.

We start with models trained on a set of data applied to a broad range of tasks. We then spend months to train and build AI models that are relatively trustworthy. The data we use to train our systems is both accurate and ethically sourced.

A tailored experience to users based on general data about climate change. For external customers, they can access your marketing insights on your supply chain. Internal staff can access relevant data to manage electronics and electrical equipment.