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Zunu Analytics
Fostering Creations of Tommorow
Zunu Analytics decentralized network connects thousands of computers from across the world anonymously, creating the world's first secure supercomputer.
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Privacy at each step
In Zunu Analytics network, privacy is ingrained at each step of interaction between the Job Submitter, and Workers. Data is maintained in an always encrypted paradigm - at-rest, in-transit, and even during processing. There is no decryption at any stage.
Workers:
Job Submitters:
Get a powerful supercomputer to run jobs. Zunu Analytics is woven dynamically in less than a minute, fully dedicated to running your dream job. Data and computations are always encrypted and never decrypted during the execution. Your data is non-hackable, unbreachable and private to the last second of execution
Privacy at each step
Zunu Analytics has privacy at its core. Privacy is weaved into every strand of exchange between the creator of the project, and the user who shares their resources. Every system and data that is our ecosystem is protected with the Fully Homomorphic Encryption (FHE) technology patent pending)....
Zunu Analytics is built using practical Fully Homomorphic Encryption (FHE) that has achieved the impossible - an ‘always encrypted paradigm’. Data is secured with encryption plus at all stages - at-rest, during transit, and even during processing. Read more
Features
Easy,
Productive,
Secure
Features
Easy
Productive
Secure
Data & model parallelism
Zunu Analytics speeds up the model training process by supporting both data and model parallelism. Zunu Analytics... GUI automatically partitions the model in the most optimal way and allocates resources to the worker nodes according to the choice of parallelism required. Read more
Dataset & model privacy
In Zunu Analytics, all computations are done over encrypted datasets and encrypted parameters. Only the data scientist has... the key to decrypt it. The workers do not know for whom the model is being built and also cannot identify the model parameters that are obtained. Read more
Supports large models
There is no size limitation in Zunu Analytics. Organizations can build AI/ML models from 100 to several billion nodes easily, and quickly.
Peer-to-Peer deployment
Zunu Analytics offers a distributed computing architecture for building AI/ML models. This helps organizations to overcome... latency concerns and cut costs. Read more
Compliance ready
Zunu Analytics enables organizations to meet the data residency requirements of their country through end-to-end... encrypted federated learning. Read more
Meet data privacy regulations easily
Zunu Analytics Federated Learning allows you to easily comply with the data residency laws of various countries. Securely... train models using decentralized datasets across edge devices in different countries and make it more effective for generalizing . The confidentiality of your datasets, and model is maintained at every stage as computations are possible over encrypted datasets. No decryption at any stage. Read more
Multi-platform compatibility
Zunu Analytics supports all major cloud platforms and devices. Users can seamlessly integrate it with their existing cloud... infrastructure for enhancing the privacy and security of their datasets and models. Read more
Java SDK extension
Zunu Analytics allows users to extend their framework anytime they want through Java SDK extension
Zero-knowledge service
Zunu Analytics does not store user passwords. It has zero visibility into datasets, and the model building process.
Zero data breach
Zunu Analytics is powered by FHE technology that has no dependence on individuals, or softwares in data centres to provide... privacy for model building. FHE is mathematically guaranteed to ensure complete privacy from all entities. Read more
Zunu Analytics at work
Zunu Analytics provides software for:
Desktops
Mobile Phones
VM Instances
Zunu Analytics: How and where it is used
Data Distribution | Model Building Distribution | Cloud Deployment | ||||
---|---|---|---|---|---|---|
Yes | No | In-House | Third Party | Yes | No | User case scenario |
✔ | ✔ | ✔ | Not required. | |||
✔ | ✔ | ✔ | Yes, Zunu Analytics: Client Server- Decentralized: Data and Model Parameters are first encrypted locally. The encrypted dataset is then used to build the model in the cloud. Keys used to encrypt data are not shared with the Cloud provider. Supports both data and model parallelism in the cloud. | |||
✔ | ✔ | ✔ | Yes. Zunu Analytics: Client Server-Decentralized: Data is first encrypted. Third Party can build the model using Encrypted Data only. No data decryption is required. Third party needs to use Ziroh Labs Crypto Libraries. Part of the data might need to be decrypted during data pre-processing steps. Computation happens in the third party computing facility. Keys used to encrypt data are not shared with third party service providers or the Cloud. | |||
✔ | ✔ | ✔ | Yes. Zunu Analytics: Client Server-Decentralized: Data is first encrypted. Third Party can build the model using Encrypted Data only. No data decryption is required. Third party needs to use Ziroh Labs Crypto Libraries. Part of the data may need to be decrypted during data pre-processing steps. Computation happens in the cloud. Keys used to encrypt data are not shared with third party service provides or the Cloud. | |||
✔ | ✔ | ✔ | Yes. Zunu Analytics: Federated: Data is encrypted. Model Parameter updates are encrypted. Zunu Analytics Federated framework is used. | |||
✔ | ✔ | ✔ | Yes. Zunu Analytics: Federated: Both Data and Model parameter updates are encrypted. Zunu Analytics Federated framework is used. Keys used for encryption are not shared with third party service providers. | |||
✔ | ✔ | ✔ | Yes. Zunu Analytics: Federated: Both Data and Model parameter updates are encrypted. Zunu Analytics Federated framework is used. Keys used to encrypt data are not shared with third party service providers. |