Fine tune and host generative AI models for specialized use cases. We are cloud agnostic with ability to leverage resources from the cloud platform of your choice.
You control every aspect of your data from source through to AI training and inference
The Zennlab AI platform right sizes model weights to your use cases and the multi-model approach allows routing to models with more parameters as input token complexity increases.
Open source foundational models enable hot swapping training methods and model sizes to the latest state of the art hardware and AI research methods.
Fully customizable to your needs and fine tuned for your use cases.
Training sets and model training lifecycle is observable from application layer through to network layer and down to persistence. Data archival and backups give you flexibility to rollback to any prior version.
Accessible from any device or application that you enable for your organization.