Audience
Companies searching for a solution to detect, anonymize, and replace personally identifiable information
About Private AI
Safely share your production data with ML, data science, and analytics teams while safeguarding customer trust. Stop fiddling with regexes and open-source models. Private AI efficiently anonymizes 50 entities of PII, PCI, and PHI across GDPR, CPRA, and HIPAA in 49 languages with unrivaled accuracy. Replace PII, PCI, and PHI in text with synthetic data to create model training datasets that look exactly like your production data without compromising customer privacy. Remove PII from 10 file formats, such as PDF, DOCX, PNG, and audio to protect your customer data and comply with privacy regulations. Private AI uses the latest in transformer architectures to achieve remarkable accuracy out of the box, no third-party processing is required. Our technology has outperformed every other redaction service on the market. Feel free to ask us for a copy of our evaluation toolkit to test on your own data.
Popular Alternatives
DATPROF
Test Data Management solutions like data masking, synthetic data generation, data subsetting, data discovery, database virtualization, data automation are our core business.
We see and understand the struggles of software development teams with test data. Personally Identifiable Information? Too large environments? Long waiting times for a test data refresh? We envision to solve these issues:
- Obfuscating, generating or masking databases and flat files;
- Extracting or filtering specific data content with data subsetting;
- Discovering, profiling and analysing solutions for understanding your test data,
- Automating, integrating and orchestrating test data provisioning into your CI/CD pipelines and
- Cloning, snapshotting and timetraveling throug your test data with database virtualization.
We improve and innovate our test data software with the latest technologies every single day to support medium to large size organizations in their Test Data Management.
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Statice
We offer data anonymization software that generates entirely anonymous synthetic datasets for our customers.
The synthetic data generated by Statice contains statistical properties similar to real data but irreversibly breaks any relationships with actual individuals, making it a valuable and safe to use asset.
It can be used for behavior, predictive, or transactional analysis, allowing companies to leverage data safely while complying with data regulations.
Statice’s solution is built for enterprise environments with flexibility and security in mind. It integrates features to guarantee the utility and privacy of the data while maintaining usability and scalability.
It supports common data types: Generate synthetic data from structured data such as transactions, customer data, churn data, digital user data, geodata, market data, etc
We help your technical and compliance teams validate the robustness of our anonymization method and the privacy of your synthetic data
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Immuta
Immuta is the market leader in secure Data Access, providing data teams one universal platform to control access to analytical data sets in the cloud. Only Immuta can automate access to data by discovering, securing, and monitoring data. Data-driven organizations around the world trust Immuta to speed time to data, safely share more data with more users, and mitigate the risk of data leaks and breaches. Founded in 2015, Immuta is headquartered in Boston, MA.
Immuta is the fastest way for algorithm-driven enterprises to accelerate the development and control of machine learning and advanced analytics. The company's hyperscale data management platform provides data scientists with rapid, personalized data access to dramatically improve the creation, deployment and auditability of machine learning and AI.
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LeapYear
Differential privacy is a mathematically proven standard of data privacy that ensures all data can be used for analytics and machine learning without the risk of compromising information about individual records. LeapYear’s differentially private system protects some of the world’s most sensitive datasets, including social media data, medical information, and financial transactions. The system ensures analysts, data scientists, and researchers can derive value from all of the data, including data of highly sensitive fields, while protecting all facts about individuals, entities, and transactions. Traditional approaches, such as aggregation, anonymization, or masking degrade data value and can be easily exploited to reconstruct sensitive information. LeapYear’s implementation of differential privacy provides mathematically proven assurances that information about individual records cannot be reconstructed, while also enabling all of the data to be leveraged for reporting
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Pricing
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Company Information
Private AI
Canada
www.private-ai.com
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