LiminaLimina AI
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Related Products
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About
Limina is a context-aware data de-identification platform designed to identify and transform sensitive information while preserving the usefulness of the underlying data. The platform detects PII, PHI, and PCI across more than 50 entity types, including names, Social Security numbers, credit cards, medical conditions, medications, passport numbers, and international variants. Unlike pattern-based detection systems, Limina analyzes context to identify sensitive information across sentences, conversations, and less predictable formats. It supports 52 languages and is designed to process structured and unstructured information, including data affected by speech recognition errors, OCR mistakes, handwritten forms, and conversational disfluencies. Limina can run as a container within an organization's VPC or on-premises infrastructure so sensitive data does not need to leave the organization's environment during processing.
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About
Tonic automatically creates mock data that preserves key characteristics of secure datasets so that developers, data scientists, and salespeople can work conveniently without breaching privacy. Tonic mimics your production data to create de-identified, realistic, and safe data for your test environments. With Tonic, your data is modeled from your production data to help you tell an identical story in your testing environments. Safe, useful data created to mimic your real-world data, at scale. Generate data that looks, acts, and feels just like your production data and safely share it across teams, businesses, and international borders. PII/PHI identification, obfuscation, and transformation. Proactively protect your sensitive data with automatic scanning, alerts, de-identification, and mathematical guarantees of data privacy. Advanced sub setting across diverse database types. Collaboration, compliance, and data workflows — perfectly automated.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Healthcare organizations, pharmaceutical companies, financial institutions, insurers, technology companies, data teams, privacy and compliance teams, AI developers, and other regulated enterprises that need to de-identify sensitive data while preserving its value for analytics, AI, and operational use
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Audience
Anyone who needs a synthetic data generator to mimic their production data and create de-identified, realistic, safe data for test environments
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Support
Phone Support
Not Supported
24/7 Live Support
Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Not Supported
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Company InformationLimina AI
Canada
www.getlimina.ai/
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Company InformationTonic
Founded: 2018
United States
www.tonic.ai/
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Categories |
Categories |
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Integrations
Amazon Aurora
Not Supported
Amazon Redshift
Not Supported
Apache Spark
Not Supported
ChatGPT
Supported
Databricks
Not Supported
Google Cloud BigQuery
Not Supported
MongoDB
Not Supported
MySQL
Not Supported
Oracle Database
Not Supported
PostgreSQL
Not Supported
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Integrations
Amazon Aurora
Supported
Amazon Redshift
Supported
Apache Spark
Supported
ChatGPT
Not Supported
Databricks
Supported
Google Cloud BigQuery
Supported
MongoDB
Supported
MySQL
Supported
Oracle Database
Supported
PostgreSQL
Supported
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