Own your AI stack

Commercial AI APIs are the right default — until data privacy, unit economics, or air-gap requirements say otherwise. We build and operate the alternative.

LLM fine-tuning.

At high volumes, per-token API pricing loses to a custom-trained Small Language Model — and privacy constraints can rule out commercial APIs entirely. We fine-tune models across families like Gemma and Llama, in decoder-only and encoder-decoder architectures, and deploy on Azure, AWS, Google Cloud, Modal, or RunPod — including serverless endpoints that cost nothing when idle.

Air-gapped LLM deployment.

We deploy models like Llama and Gemma on your own hardware, fully air-gapped, and help you build generative AI applications on top. The right choice when your data cannot leave the building.

Document intelligence.

An enterprise-grade platform that ingests any document — PDF, DOCX, Excel — and converts it to structured text, preserving images, tables, and captions across complex layouts. Clean, usable context for every downstream AI system.

Data & ML engineering.

The full lifecycle underneath it all: ingest, clean, and catalogue data; train, deploy, scale, and monitor models — with expertise across NLP, computer vision, and forecasting.