BeeKeeperAI (EscrowAI) vs Decentriq Data Clean Rooms
BeeKeeperAI (EscrowAI)
beekeeperai.comDecentriq Data Clean Rooms
decentriq.comSide by side
| Figure | BeeKeeperAI (EscrowAI) | Decentriq Data Clean Rooms |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| API | — | Yes |
| Self-hosted | Yes | — |
| Plans published | 1 | 1 |
| Spec score · Data Clean Room Software | 7.2 (#12) | 7.7 (#5) |
| Intended users | BeeKeeperAI describes the platform as serving healthcare data stewards and algorithm developers working with protected data. | The company describes the platform for advertisers, publishers, data partners, retailers, agencies, and healthcare organizations. |
| Purpose | EscrowAI provides a confidential AI computing environment intended to protect models and data while controlling AI agent actions. | The platform lets multiple parties combine and analyze data under privacy controls without exposing raw data; participants receive approved, aggregated results. |
Plans
In their own words
BeeKeeperAI (EscrowAI)
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.
Decentriq Data Clean Rooms
Decentriq Data Clean Rooms lets organizations collaborate on data analysis while keeping raw records private to their owners. Participants receive approved, aggregated results rather than one another’s underlying data. Business users can build insights and custom audiences without code; advanced collaborations support Python, SQL, and R. Its privacy controls use encryption and confidential computing. In the no-code version, only approved aggregated insights and audience identifiers can leave the clean room. Advanced Analytics requires data-owner approval before external parties can access results, and both versions provide tamper-proof audit logs. The service offers API and SDK access, with connectors to import from Amazon S3 and Snowflake and export to Amazon S3 and Meta Ads Manager. Decentriq identifies advertisers, publishers, data partners, retailers, agencies, and healthcare organizations as intended users. It runs in the cloud and is available through web and API. Pricing is on request; the company invites prospective customers to contact it or schedule a demo.