Zunu Analytics: Fostering creations of tomorrow.

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:

Join
Contribute Your Spare Cycles
Earn

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

Build your Supercomputer in just 4 steps:

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

Windows

Linux

Mac

Mobile Phones

Android

iOS

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.