FictionEngine
A writing platform whose AI remembers your characters, scenes and voice from one session to the next.
Read the case studyPillar 02
Custom models trained on your data and run inside your own walls. Your prompts, documents and answers stay on infrastructure you control.
Public AI services are useful, and every prompt sent to them leaves your building. For legal, medical, financial and proprietary work, that can rule them out.
We build small, specialized models that live on your own servers or in a private cloud account you own. Your data trains them and your team uses them. None of it is sent to an outside AI provider.
We map which tasks need a model, what data you have, and the hardware or private cloud it will run on.
An open-weight model adapted to your field, or a small model trained from scratch when you need full control over what it learned.
Fine-tuning on your documents and examples, plus retrieval over your knowledge base so answers point back to your sources.
Test sets built from your real cases. We measure quality before anything reaches your team.
On-premises servers, workstations or your own AWS, Azure or Google Cloud account, with access controls and logging.
You own the model weights, the code and the documentation. We stay on for support if you want us.
From the lab
A model that does one job well can be far smaller than a general-purpose chatbot. Small models cost less to run, respond quickly on modest hardware, and are easier to inspect and test. Our research lab, CoburnicusLabs, grows language models from scratch in public, so we know how these systems work from the first line of code.
About CoburnicusLabsGood fits include internal knowledge assistants over policies and manuals, document classification and extraction, drafting in your house style, support triage, and search across private records.
Related work
Related services
A 30-minute call is the fastest way to find out whether we can help. You will talk to Adam directly, and you will leave with a clear next step either way.