Orama Studio · the surface of Metis

Turn a business question into production AI

Orama Studio is the surface of Metis, the Enterprise Intelligence OS. Describe the outcome in plain language and connect the data you already have. Studio scores what that data can carry, builds the pipeline, trains models on that data, verifies the system, and deploys it to infrastructure you control.

Your data feeds a verified pipeline that trains models and serves running results on infrastructure you control.

Why a platform

A useful model still needs a production system

A model that works in a notebook still needs source connections, point-in-time features, leakage checks, serving, monitoring, and governance. Orama Studio builds those parts as one verified pipeline, without requiring the customer to assemble a separate data engineering or data science function.

What your teams get

From question to running pipeline

Start with a plain-language goal. Orama Studio connects the sources, builds the features, trains the model, and creates the serving path.

Measured against real outcomes

Models train on your data and are evaluated against what happened. Each score includes the drivers behind it, so teams can inspect the result.

Governed from the center

Teams build and operate verified pipelines while architecture, access policy, deployment, and audit remain centrally owned.

Your platform, under your brand

Deploy in your own cloud, on-premises, or on dedicated infrastructure. Run Orama Studio under your own brand. A forward-deployed engineer helps your team select use cases, prove return, and build a center of excellence that can ship more projects without permanent operators.

Talk to sales

Start with the outcome

Tell us what you want to predict or automate and where the system has to run. We will scope the first production use case with you.