Data & AI
ML & LLM engineering
Bring AI to a concrete task for your team
Maybe you need to estimate demand from past sales, or help staff find answers in internal manuals. Machine learning (ML) can handle the first case. Large language models (LLMs) can help with the second.
When it makes sense
The first step is to choose a task and agree on how to judge a good result. For a forecast, you can compare the estimate with what actually happened. For an assistant, you can check whether its answer is backed by the document it retrieved.
How we help
We prepare the data and the process to run and evaluate the model while it is in use. For questions about documents, we can connect a model such as Claude with a search step that retrieves the relevant passages before writing the answer. We review result quality, failures and cost per query.
Platforms we work with
- Claude
An example
A support agent asks which warranty applies to a product. An assistant could find the relevant policy and suggest an answer with the reference passage. Before rolling it out further, the team can test it with common questions and check whether it identifies the right policy.
What your company receives
When the project ends, your team has:
- An AI solution for the selected use case, connected to the authorized sources.
- An evaluation report with the test results and the limitations identified.
- Tools to monitor how the model performs and what it costs to use.
Which task do you want to solve with AI?
Tell us about the use case and how you would measure success. A senior engineer will reply within one business day.