One unified system for the entire AI deployment lifecycle
From model import to production traffic — AI42 Hub handles every step of the deployment lifecycle with built-in observability, versioning, and security.
The AI42 Hub Model Registry gives your team a single source of truth for every model artifact in your organization. Import models from Hugging Face, your own training pipelines, or our pretrained library. Every version is tracked, diffed, and auditable.
All models, all versions, all metadata — in one place accessible to your entire organization.
Every deployment, every rollback, every configuration change is logged and attributable.
Hardware-level optimizations and edge node placement ensure your models respond in under 50 milliseconds, every time.
Automatic horizontal and vertical scaling based on real-time traffic patterns. Zero cold starts for production endpoints.
Our inference engine is built on decades of systems research from the world's largest AI deployments. It applies quantization, batching, and kernel fusion automatically — so your models run at maximum efficiency without manual tuning.
Not every team has ML engineers. The AI42 Hub Pipeline Builder lets software engineers, data analysts, and product teams connect models, preprocessing steps, and business logic in a visual drag-and-drop editor — no infrastructure code required.
Connect models, transformations, and outputs visually. Deploy to production in minutes.
A/B test models in production with configurable traffic splits and automatic winner selection.
Get started with AI42 Hub in under 30 minutes. Our team will guide you through your first deployment end to end.
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