The AI platform creates synthetic training data to finetune language models with a simple use case description. Deploy your custom model and user interactions will enrich the training data, improving future model versions.
At Nodehaus, we empower organizations to build, deploy, and own their own AI models — keeping your data, IP, and competitive edge exactly where they belong: with you.
Contact us for a demo, to explore your use case, and to unlock the power of your own agentic AI.
Why do we build this?
Most AI agents rely on oversized models to perform simple, repetitive tasks — wasting compute, money, and energy. Our approach flips the script.
With smaller, specialized models, you get faster performance, lower costs, and a lighter ecological footprint — without sacrificing quality. [1]
To get the most out of your agentic AI, you need great training data. That’s why we built a platform that makes it effortless to:
- Create and curate high-quality training data upfront
- Continuously enrich your dataset as users interact with your AI
- Fine-tune your own models for maximum performance
Deploy your models directly through our OpenAI-compatible endpoints — or download them to run anywhere you choose.
Turn every AI interaction into smarter, faster, more efficient custom models — purpose-built for your organization.
Contact us for a demo, to explore your use case, and to unlock the power of your own agentic AI.