Hazy

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Hazy is the world's leading synthetic data company and proven partner in making synthetic data real for businesses.0
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What is Hazy?

Hazy is an enterprise synthetic data platform that offers highly reliable and secure solutions for generating synthetic data. It provides a drop-in replacement for source data, maintaining all the patterns, statistical properties, and correlations while ensuring the privacy and security of sensitive information. With Hazy, organizations can easily deploy synthetic data with the help of a dedicated Customer Success Manager. The pricing model is simple and scalable, making it accessible for both small-scale and large-scale deployments.


Key Features:

1. Highly Reliable Synthetic Data: Hazy's software generates synthetic data that closely mimics the patterns, statistical properties, and correlations of the original source data. This ensures that organizations can confidently use this artificial dataset in place of real-world sensitive information without compromising accuracy or quality.

2. Extreme Security Measures: Hazy's software operates within your trusted environment by being installed next to your source environment. This means that your production data never needs to leave your organization's secure infrastructure. By keeping the generation process local, Hazy ensures maximum security and minimizes any potential risks associated with sharing or transferring sensitive information.

3. Easy Deployment Process: Implementing Hazy's synthetic data solution is made simple through their tailored onboarding program led by a dedicated Customer Success Manager (CSM). The CSM will guide you through every step of integrating synthetic data into your organization's workflows seamlessly. Whether you are deploying it across a single table or throughout your entire enterprise, Hazy provides support to ensure successful implementation.


Use Cases:

- Privacy-Preserving Research: Researchers often require access to large datasets containing personal information for analysis purposes but need to protect individuals' privacy rights at the same time. By using Hazy's synthetic data platform, researchers can generate realistic yet anonymized datasets that maintain crucial statistical characteristics while safeguarding personal details.

- Secure Development Environments: Software developers frequently work with live production databases during application development stages which poses significant security risks. By utilizing Hazy's synthetic data, developers can create realistic test environments that mirror the original data without exposing sensitive information to potential breaches or unauthorized access.

- Compliance and Training: Organizations often need to comply with strict regulations regarding data privacy and protection. Hazy's synthetic data platform enables companies to train employees on handling sensitive information without using real customer or employee data. This ensures compliance while providing a realistic training environment.


Hazy's enterprise synthetic data platform offers organizations a reliable, secure, and easily deployable solution for generating artificial datasets. With its ability to maintain the patterns, statistical properties, and correlations of source data while ensuring maximum security within trusted environments, Hazy provides a versatile tool for various use cases such as privacy-preserving research, secure development environments, and compliance training. By leveraging Hazy's technology, organizations can confidently work with synthetic data that upholds accuracy while protecting sensitive information from potential risks or breaches.


More information on Hazy

Launched
1997-11
Pricing Model
Free Trial
Starting Price
$ 500 /month
Global Rank
5049066
Country
United States
Month Visit
32.3K
Tech used

Top 5 Countries

15.23%
7.27%
3.49%
3.36%
2.99%
United States United Kingdom Turkey Peru Viet Nam

Traffic Sources

46.09%
41.35%
12.27%
0.29%
Direct Search Referrals Social
Updated Date: 2024-04-01
Hazy was manually vetted by our editorial team and was first featured on September 4th 2024.
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