Anjuna Northstar vs BeeKeeperAI (EscrowAI)

Anjuna Northstar is self-hosted software for multi-party collaboration on sensitive or live datasets. It enables AI operations teams and data scientists to combine data, run models, and analyze results while protecting privacy and intellectual property. Powered by Anjuna Seaglass, it can create confidential clean rooms on demand for data-sharing work. Northstar runs on confidential computing instances across cloud providers and on premises. Its safeguards cover data and code during ingestion, processing, and analysis, with remote attestation, isolation of data in use, and access control listed. Users prepare and manipulate datasets in off-the-shelf Jupyter Notebooks. They can bring their own AI models, tools, and analysis code without modifications. The product is deployed in customer environments and does not require telemetry or runtime dependence on Anjuna-hosted services. AWS, Microsoft Azure, Google Cloud, AMD, Intel, NVIDIA, Redis, and HashiCorp are listed as site partners. Pricing is on request, with a live demo and sales contact available.

BeeKeeperAI’s EscrowAI is a confidential AI computing environment for protecting models and data while controlling AI-agent actions. It runs data and models inside a hardware-isolated Trusted Execution Environment, with encryption inside that environment, in transit, and at rest. An immutable ledger records computations and autonomous-agent activity. Governance controls authorize agent actions and can enforce or revoke permission when an agent acts outside approval or attempts to leave the protected environment. EscrowAI can run open-source and open-weight models in its secure environments. BeeKeeperAI says it can be hosted in the cloud or on premises, including an Azure confidential-computing setup using Intel SGX enclaves. Healthcare workflows support dataset creation, labeling, segmentation, and annotation. Data remains in an organization’s protected cloud storage and uses primary rather than synthetic or de-identified data. The paid product has pricing on request and no listed public trial.