H

hazy

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Company Research Report: Hazy Limited



Company Overview



  • Name: Hazy Limited

  • Mission: Hazy's mission is to set enterprise data free by re-engineering data to be faster, easier, and safer to use, powering the new global economy.

  • Founded: The company was born out of University College London (UCL). Specific founding date is not detailed in the provided data.

  • Key People:

  • Harry Keen, CEO & Co-Founder

  • Luke Robinson, Head of Science & Co-Founder

  • Carl Tishler, Chief People Officer

  • Peter Juritz, VP Engineering

  • Headquarters: No information is available.

  • Number of Employees: No information is available.

  • Revenue: No information is available.

  • Known For: Hazy is a pioneer in bringing synthetic data to market as a viable enterprise product, recognized for transforming data usage while ensuring privacy and compliance.


Products



  • Product Overview: Hazy offers a synthetic data platform that handles data privacy, making synthetic data a drop-in replacement with all patterns, statistical properties, and correlations of the source data without revealing private information.

  • Key Features:

  • Highly reliable

  • Extremely secure environment

  • Easily deployed with support from a Customer Success Manager

  • Simple purchasing model scaling from single table to enterprise deployment


Solutions Offered:


  • Transform Digital Infrastructure: Deploy realistic test data to validate new systems and accelerate digital transformation.

  • Accelerate AI Adoption: Generate high-quality data for AI application training and automation.

  • Empower Business Intelligence: Enable accurate analytics for improved decision-making.

  • Unlock Faster Innovation: Share data safely to accelerate innovation.

  • Commercialise Enterprise Data: Productize data to generate new revenue streams.


Recent Developments



  • Acquisitions and Partnerships:

  • SAS recently acquired Hazy’s synthetic data software to bolster its generative AI portfolio, enhancing capabilities in data management and integrating with SAS Viya®.

  • A partnership with Vodafone to utilize synthetic data for model training and fraud detection.

  • Collaboration with Nationwide Building Society to evaluate vendors more quickly using synthetic data.

  • Product Launches and Features:

  • Launch of Hazy Whisper, a chat-based data engine for generating test data.

  • Introduction of a public Synthetic Data Marketplace with pre-trained generators.

  • Availability on AWS Marketplace and Temenos Exchange for faster, safer data provisioning.

  • Technological Advancements:

  • Incorporation of differentially private models to enhance privacy.

  • Development of multi-zone approaches to synthetic data generation for enterprises.


Key Product Features and Technology



  • Multi-Table Capabilities: Allows for synthesizing related tables with privacy guarantees while preserving inter-table information.

  • Time-Series Data Generation: Includes various methodologies like GANs and Auto-Encoders.

  • Support for 50+ Data Types: Custom algorithms to handle diverse data types and business logic.

  • Differential Privacy: Ensures very low risk of re-identification and is compliant with GDPR and CCPA.

  • Secure Deployment Options: Software deployable on-premises or in the cloud with customizable permissions and access controls.


Strategic Insights



  • Market Position: Recognized as a leader in the synthetic data market, Hazy develops its technology for direct production use, significantly enhancing data privacy and usability.

  • Innovation and Awards: Selected as a Gartner Cool Vendor in 2021 and won the Microsoft Innovate AI prize.

  • Future Outlook: The integration with SAS positions Hazy at the forefront of synthetic data innovation, providing robust AI and data management solutions to enterprises worldwide.





© 2024 Hazy Limited | UK Company #10804708

All rights reserved. The information contained in this report is for informational purposes only and no infringement on proprietary rights is intended.
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