Parcel is live! Start building with our all-new privacy SDK.
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The Parcel SDK comes with a built-in dispatcher, which makes it easy to spin up an isolated environment for privacy preserving computation. With access to cutting edge secure-enclave technology, data can remain confidential and protected at every stage of the lifecycle.
From web apps to infrastructure stacks, the Parcel SDK can be integrated with a broad range of services and technologies. With support for Typescript, the Parcel SDK can easily be added into your development flow — no custom languages or complex systems to learn.
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Powered by a decentralized ledger, Parcel provides an immutable record of all actions taken, so you can ensure your data is being used in a compliant and responsible way.
Parcel uses basic primitives to make it easy to support responsible data usage and proper governance in your tech. Quickly set detailed policies and constraints on how data is used and consumed across your company and in your app.
Launch of a platform to assess fairness in Meta’s products while protecting people’s privacy.
Leveraging Parcel ParaTime capabilities enabling the tokenization of 30K genomic profiles.
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A privacy solution allowing both internal teams and external partners to access data while remaining compliant and protecting user privacy.
Parcel empowers companies to build trusted infrastructure, with strict controls on how apps and users can access datasets. Easily integrate Parcel into your existing stack or use it to control access to your more sensitive datasets.
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Parcel’s privacy and governance primitives allow you to share data with partners and unlock new business opportunities with limited risk and tight control. Policies limit and control data usage, while confidential compute environments ensure your raw data is never exposed.
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Parcel’s policy language and strict access policies allows you to quickly build secure and compliant infrastructure. From HIPAA to CCPA to GDPR the Parcel SDK is able to address a broad range of compliance needs and requirements while ensuring your data remains useable.
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