Neon.ai builds private expert AI systems on locally fine-tuned language models, with humans kept in the loop. Its pitch is direct: own your AI, do not rent it.
That argument has become considerably stronger than it sounds. An organisation building on a hosted API has no control over model deprecation, pricing changes or behaviour shifts between versions – and anyone who has had a carefully tuned prompt stop working after a provider update understands the exposure. Locally deployed models trade convenience for control, which is the right trade for systems that must behave the same next year as today.
Expert panels with human oversight fit domains where an unreviewed answer is not acceptable, and the company publishes patents alongside demos. Be clear-eyed about what owning it means: local deployment brings infrastructure, model maintenance and the fine-tuning work in-house, so it suits organisations with the capability and the regulatory reason to carry that, and few others.
