Private LLM Deployment

Keep inference inside your environment.

Run open weight language models on your servers or in your private cloud. Keep inference within the agreed environment without sending prompts to external model APIs.

  • Your servers or private cloud
  • Hosting and access controls
  • No prompts sent to external model APIs

Model Fine Tuning

Adapt a model to your terminology and tasks.

Adapt an open weight model to your terminology and tasks using approved examples from your data. Compare results with the base model on separate evaluation data before deployment.

  • Approved examples from your data
  • Training and model evaluation
  • Compared with the base model

Custom Machine Learning

Models built around your business data.

Build forecasting, classification and anomaly detection models around your business data. We prepare the data and test performance on unseen examples before deployment.

  • Forecasting
  • Classification
  • Anomaly detection

Not sure where to start? An AI Readiness Assessment reviews your workflow and data to choose between document search, model fine tuning and custom machine learning.

Book an assessment

Your project

Keep your data where it belongs.

Tell us about your data, your environment and the tasks a model needs to handle. We will propose a practical scope with evaluation criteria.

Discuss a custom model project