KodeYum
The central nervous system for your AI engineering team. Manage models, datasets, and deployments in one unified control plane.
The Chaos of AI Ops
Jupyter notebooks scattered across laptops. API keys in `.env` files. HuggingFace weights downloaded manually. The modern AI stack is a fragmented mess of disconnected tools and fragile scripts.
Unified Lifecycle Management
KodeYum brings order to the chaos. It treats AI models as first-class citizens, tracking them from experimentation to production deployment with strict versioning and access control.
Platform Capabilities
From research lab to production API.
Versioning for model weights, config files, and training metrics. Rollback to any previous state instantly.
Automatically provision and scale GPU instances across multiple clouds based on training load.
Guaranteed reproducibility. Define your CUDA versions and python dependencies once, run anywhere.
Real-time attribution of inference costs to specific projects, teams, or API keys.
Notebook sharing with granular RBAC. Comment, review, and approve experiments before they merge.
Trigger automatic evaluation and deployment workflows when a new model version is pushed.