Standardize AI deployments—once—and run them everywhere.

gravityAI gives platform teams a private, internal AI marketplace where models ship as containers, pass review, and deploy consistently—on-prem or in your cloud.

Your teams keep asking for “an AI capability.”
You keep inheriting a one-off deployment.

Different runtimes. Different dependencies. Different security stories. Different handoffs. And every model becomes a mini platform project.

gravityAI changes the unit of work.
You package the model as a container. You approve it once. Your org reuses it safely—without re-integration every time.

So platform engineering stays in control—of environments, standards, and risk—while the business ships faster.

What You Get

Platform control (without becoming a bottleneck)

You define the standard → teams follow it.

You reduce variance → ops becomes predictable.

You keep deployments inside policy → risk stays manageable.

Repeatable execution (across teams and environments)

You containerize once → teams run the same way every time.

You eliminate bespoke setups → fewer surprise failures.

You make adoption self-serve → fewer tickets and hand-holds.

Trust that scales

You gate what ships → models meet documentation and security expectations.

You enforce review → only approved models spread.

You support regulated needs → host on-prem or in your cloud.