Leverage AI in the most ethical and responsible way.

Generative AI models are extremely resource intensive. As explained by MIT, training and tuning the models consumes huge amounts of energy and water – but so does using the models over time ("inference"). Researchers have estimated that a ChatGPT query consumes about five times more electricity than a simple web search.

Our job is to help you make informed decisions for your business. One way to mitigate the negative impacts on the environment is to make smart choices about which AI models to use for a given task. According to Harvard Business Review, bigger is not always better. A small model trained on high-quality, curated data can be more energy efficient and achieve the same results or better depending on your needs.

According to McKinsey, data security and privacy, hallucinations and accuracy, biased outputs and misuse such as creating harmful content or enabling fraud, are some of the biggest challenges businesses need to overcome.

We implement privacy by design: we will work with you to ensure that your data is safe. This may involve using on-premise solutions, or private cloud solutions. Some of the tools we use are open source, and can be run on your own servers.

We choose tools based on your needs, and the systems and processes already in place in your company. We have experience with various tools and Large Language Models.

Some LLMs we use include Google Gemini, OpenAI GPT, Anthropic Claude. Some frameworks and tools we use include CrewAI, Llamaindex, and N8N.

We will provide as much transparency as possible before you sign up for anything. AI models charge by usage, some other third party services charge either by resource usage or a flat fee.

And our consultancy fees are laid out below.