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What is Pradra Studio

Pradra Studio is a platform for building, deploying, and operating AI capabilities as part of a real business solution — not as isolated science experiments.

It brings ML and LLM together in one place: both classic machine learning models and large language model (LLM) features live on the same governed, versioned platform.

Most machine-learning tooling is organized around models: you train a model, tune it, and hand off a file. Pradra Studio is organized around the business problem you are solving. The guiding question is never "which algorithm should I pick?" — it is "what outcome do I need, and how do I keep delivering it reliably over time?"

The core idea

A single business problem usually needs more than one prediction. "Keep our equipment running" might mean predicting when a machine will fail, how much useful life it has left, and which kind of failure is coming. Pradra Studio groups those related predictions together so they can share the same data, governance, and operations.

That grouping is called an AI Solution, and each individual prediction inside it is an AI Capability. You will meet both in Solutions and Capabilities.

What you get

  • A shared home for data. Upload a dataset once, version it, and reuse it across every capability that needs it — with a clear record of what changed. See Datasets.
  • A guided path from data to production. Train, evaluate against explicit acceptance criteria, promote, and deploy — each step recorded, each version kept.
  • A stable endpoint for every deployed capability. Your application calls a simple, contract-checked API and gets a prediction back. See Deployments.
  • Monitoring built in. Once a capability is live, Pradra Studio watches its health and warns you when the world drifts away from what the model was trained on. See Monitoring.
  • Generative AI on the same rails. Text generation, summarization, extraction, and retrieval-augmented answers run through the same lifecycle and the same quality gates as classic models. See AI Studio.
  • Governance you can trust. Everything is versioned, every change is audited, and nothing reaches production without passing the gate you defined. See Governance & audit.

Who it's for

Pradra Studio is used by teams, not lone specialists — product owners, data scientists, ML engineers, and platform administrators each have a place in the workflow. See Users & roles for how the roles fit together, and Organizations & workspaces for how work is kept separate and safe.

Where to go next