AnjunaAnjuna Northstar

Northstar combines interactive notebooks and custom analysis code with confidential-computing isolation for shared datasets. The product page says participants can bring their own AI models and run clean rooms on cloud or on-premises infrastructure.

Anjuna’s customer statements describe joint analysis of proprietary models and partner transaction data while protecting both parties’ intellectual property. These are reported capabilities and use cases; the page does not establish a quantified advantage over every other clean-room provider.

Northstar addresses multi-party data analysis in which each participant wants to retain control of sensitive inputs. Anjuna describes one-click clean-room deployment, interactive data preparation, and the ability to bring custom AI models or analysis code.

The product page identifies Jupyter notebooks as a supported working environment. Anjuna’s data sheet says Northstar builds on its confidential-computing platform for verifiable collaboration, while the current site distinguishes it from Seaglass and Overwatch.

The Northstar product page directs prospective customers to request a tailored demonstration or contact Anjuna sales. Its data-sheet page also leads readers to those routes rather than displaying a checkout flow.

The pages reviewed do not state a Northstar list price, free trial, or commercial term. Seaglass trial language elsewhere on Anjuna’s website is not evidence of Northstar pricing or a product-level revenue model.

Anjuna Northstar creates confidential clean rooms for organizations that need to analyze sensitive information together. Its environment accepts existing applications, AI models, and analysis code across cloud and on-premises confidential-computing instances.

Participants can prepare datasets and work interactively in familiar tools such as Jupyter notebooks. Remote attestation, isolation during processing, and access controls are intended to protect contributed data and intellectual property during collaboration.