PySyft is OpenMined's software product, from OpenMined Foundation. Published at github.com/OpenMined/PySyft. Directory filing: Privacy-enhancing AI. Vendor legal name on this product record: OpenMined Foundation. PySyft OpenMined OpenMined Foundation github.com/OpenMined/PySyft Privacy-enhancing AI. PySyft is OpenMined's software product, from OpenMined Foundation. Published at github.com/OpenMined/PySyft. Directory filing: Privacy-enhancing AI.

Category: Privacy-enhancing AI

Product listing

PySyft

Name: PySyft
Brand: OpenMined

From OpenMined

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github.com

AI Software Product · Privacy-enhancing AI · Privacy, Identity & Trust

Unclaimed
Directory-only

TrustMark reading

Where this product sits

PySyft is classified as Privacy-enhancing AI. PETs such as differential privacy, federated learning or confidential compute for AI. Jobs: federated training; dp releases; confidential inference.

Buyers typically come to Privacy-enhancing AI because useful models seem to require centralising personal data. Classification is not a finding that this product solves that job.

This is TrustMark's classification reading for buyers comparing Privacy-enhancing AI products. It is not an Assurance Score, certificate, or ranked position.

What it is

Product classification

AI Software Product

Privacy-enhancing AI · Privacy, Identity & Trust

What it does

How this product is used

Capabilities: Not specified
Sectors: Cross-industry / not specified
Deployment: Not specified
Autonomy: ASSISTIVE
Data exposure: Not specified

Verified claims

What has been independently checked

Independently verified· 2026-09-17Domain association: Verified
This only confirms the listing is tied to a checked company website domain. It is not a product assessment, certificate, review star, or ranked position.

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Supplier-provided information

AI TrustMark has not independently verified supplier-provided marketing claims on this profile, including untested productivity, ROI or performance figures, unless they appear under verified claims or a named certificate. Absence of a claim from the verified list means it has not been evidenced here.

What the vendor’s website says · supplier-provided, not verified evidence

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Category context

Why buyers look at Privacy-enhancing AI

PETs such as differential privacy, federated learning or confidential compute for AI. Jobs: federated training; dp releases; confidential inference.

Useful models seem to require centralising personal data.

This is category context, not an independent assessment of PySyft. Vendor-claimed differences are listed above. Assessment results appear only after examination.

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Where to get more information

Product website · github.com/OpenMined/PySyft
OpenMined website
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Other products from OpenMined

No other products are listed for this company yet.

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