Public model APIs or private, locally hosted LLMs.

We integrate large language models through public APIs, including OpenRouter, and deploy locally hosted LLMs for projects that need control over data and processing. Local inference can keep prompts, documents and responses within your own environment. We prepare infrastructure for model training and fine-tuning, with access controls, monitoring and capacity matched to the workload. For AI workloads at solar and wind farm sites, we build modular compute containers with servers and GPUs. Our own lab gives us a place to test integrations and deployment approaches before taking them into production.