Limina Reviews & Product Details

Limina is an enterprise de-identification platform that detects and removes PII, PHI, and PCI from unstructured data without stripping the context that makes it valuable. Unlike pattern-matching tools that over-redact, Limina uses context-aware machine learning to identify sensitive information the way a trained human would. That's why it achieves less than half the error rate of AWS Comprehend, Google DLP, and Microsoft Presidio on real-world data. What Limina Detects 50+ entity types across PII, PHI, and PCI — names, SSNs, credit card numbers, medical conditions, medications, passport numbers, and international variants — across 52 languages including English, French, German, Spanish, Japanese, and Mandarin. How It's Deployed Limina deploys as a self-hosted container via REST API. Your data is processed entirely within your own infrastructure—never transmitted to Limina or any third party. Available as a CPU version for standard deployments or a GPU version for real-time and high-throughput workloads. Synthetic Data Generation Limina can replace detected PII with synthetic data that fits the surrounding context, preserving the statistical and linguistic integrity of your dataset for downstream AI training, analytics, and partner sharing. Limina's models are built and maintained by a team of linguists, data annotators, and privacy experts, and updated continuously to reflect evolving global privacy regulations. Get Started Try the text demo: https://docs.getlimina.ai/demo/text Try the file demo: https://docs.getlimina.ai/demo/file Get a free API key: https://portal.getlimina.ai/

Seller

Limina

Discussions

Limina Community

Languages Supported

Arabic, Bulgarian, Catalan, Czech, Danish, German, Greek, English, Persian, Finnish, French, Hebrew, Hindi, Croatian, Hungarian, Italian, Korean, Latvian, Lithuanian, Dutch, Norwegian, Polish, Portuguese, Romanian, Russian, Slovak, Slovenian, Spanish, Swedish, Tagalog, Turkish, Ukrainian

Overview by

Tyler Munro

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User Insights

Average based on 22 real user reviews.

G2 reviews are authentic and verified.

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Alicia D.

Senior Manager, Compliance Reporting

Enterprise (> 1000 emp.)

3/7/2024

"Private-AI raises the bar on data protection"

5/5

What do you like best about Limina?

Private-AI offers outstanding products and services that prioritize user privacy and data security. Their commitment to protecting sensitive information while providing cutting-edge solutions is commendable.

Private-AI's products, such as their very own, ‘Private ChatGPT’, empower users to leverage advanced technologies without compromising their privacy, making them a trusted partner for individuals and businesses alike. With a focus on innovation and integrity, Private-AI sets a high standard in the industry, earning my enthusiastic recommendation. Review collected by and hosted on G2.com.

What do you dislike about Limina?

I can't think of anything. I quite enjoy using Private-AI's very own Private ChatGPT. Review collected by and hosted on G2.com.

Jennifer A.

Small-Business (50 or fewer emp.)

1/18/2024

"3. lines.of.code."

5/5

What do you like best about Limina?

Let's start with the big things; accuracy, ease of use/implementation and instant anonymization of PII!!! Review collected by and hosted on G2.com.

What do you dislike about Limina?

That I didn't invent this myself. It is an elegant and simple solution that does exactly what it is supposed to do. Review collected by and hosted on G2.com.

Parvej K.

SDE

Mid-Market (51-1000 emp.)

6/4/2023

"Private AI promotes fairness, accountability, and responsible AI practices."

5/5

What do you like best about Limina?

Ethical Considerations, Compliance with Regulations, Trust and Transparency, Data Privacy, Confidentiality It's important to note that the concept of private AI is continuously evolving, and various techniques and approaches are being developed to address privacy concerns while still enabling the benefits of AI. Review collected by and hosted on G2.com.

What do you dislike about Limina?

Limited access to data, Trade-off between, privacy and utility, Complexity and computational, requirements Potential for misuse It's worth noting that these concerns are not necessarily inherent to private AI itself but rather challenges that need to be addressed in the development and deployment of personal AI systems. Review collected by and hosted on G2.com.

What problems is Limina solving and how is that benefiting you?

Protecting sensitive data: Private AI helps safeguard sensitive data by implementing techniques such as differential privacy, federated learning, and secure multi-party computation. These methods allow data to remain private and secure while enabling the training of AI models. By preventing unauthorized access to personal information, Private AI enhances data protection and minimizes the risk of privacy breaches. Preserving individual privacy: Private AI ensures that individual privacy is respected by enabling data owners to contribute their information for AI applications without revealing personal details. Techniques like federated learning allow training models on decentralized data, ensuring that sensitive information remains on users' devices. This protects personal privacy and reduces concerns about data misuse. Promoting ethical AI practices: Privacy is an integral part of ethical AI. Private AI fosters responsible and ethical AI practices by providing mechanisms to incorporate privacy protection into AI systems. It encourages transparency, fairness, and accountability while ensuring that AI applications are aligned with privacy regulations and guidelines. Encouraging data sharing and collaboration: Data sharing is crucial for advancing AI research and applications. Private AI facilitates secure data sharing and collaboration between organizations without exposing sensitive information. By enabling secure collaborations, Private AI encourages the pooling of knowledge and resources, leading to improved AI models and advancements in various domains. Building trust and user adoption: Privacy concerns can hinder user trust and adoption of AI technologies. Private AI addresses these concerns by prioritizing privacy protection. When users feel confident that their data is secure and their privacy is respected, they are more likely to embrace AI solutions, leading to wider adoption and utilization of AI-driven technologies. Review collected by and hosted on G2.com.

Amruta P.

Frontend Web Developer

Small-Business (50 or fewer emp.)

6/3/2023

"Preserving Confidentiality : An Evaluation of Power AI"

4.5/5

What do you like best about Limina?

There are several aspects of Private AI which I like. They are:

Privacy Protection

Ethical Considerations

Data Ownership and Control

Collaborative Learning

Versatility and Utility Review collected by and hosted on G2.com.

What do you dislike about Limina?

As Private AI has advantages, it has a few disadvantages too. They are:

- Balancing privacy and performance can be complex, and achieving optimal results may require careful optimization and trade-offs.

- It limits its accessibility for organizations and individuals lacking the necessary expertise.

- It limits direct access to individual-level data.

- It emphasizes privacy; it's crucial to consider security. Review collected by and hosted on G2.com.

What problems is Limina solving and how is that benefiting you?

One of the key problems that Private AI aims to solve is privacy protection. It helps to build trust and confidence in AI systems. It also allows data analysis without exposing the raw data, ensuring that sensitive information remains protected. It also recognizes the importance of data ownership and control. It promotes trust, confidentiality, and ethical use of data, leading to enhanced privacy protection, more secure collaborations, and responsible AI development. Review collected by and hosted on G2.com.

AMAN S.

Mid-Market (51-1000 emp.)

5/31/2023

"Really innovative idea !!!"

5/5

What do you like best about Limina?

The private AI is very useful in personal privacy of the people because nowadays our personal data is a very precious thing in the IT world. It easily protects our data from hackers and all. Review collected by and hosted on G2.com.

What do you dislike about Limina?

The dislike about this product is that if it is hacked, our whole data is unprotected and all the data is socialized, which is very bad for a person. Also, there is some glitch in its site. Review collected by and hosted on G2.com.

Gener C.

R2R Process Specialist

Mid-Market (51-1000 emp.)

5/26/2023

"Best data security out there"

5/5

What do you like best about Limina?

Data Privacy: Private AI focuses on protecting sensitive user data. By employing techniques such as federated learning or differential privacy, it allows organizations to train AI models without directly accessing or exposing individual data. This enhances privacy and reduces the risk of data breaches or unauthorized access. Review collected by and hosted on G2.com.

What do you dislike about Limina?

It's quite pricey but that's knit-picking because of the amazing things that this can do on your data. Review collected by and hosted on G2.com.

Anish M.

Executive Manager

Mid-Market (51-1000 emp.)

7/19/2023

"Best software for businesses to preserve"

4/5

What do you like best about Limina?

This software helps use to store our personal data such as images, videos text messages etc which is quite impressive from other AI and softwares. Even with lots of competition and competitors this software has every features that should be available on any software. Review collected by and hosted on G2.com.

What do you dislike about Limina?

This software helps us to create privacy for our data even our personal data which can be texts, images videos etc. This allows our businesses to use the privacy with our database. Review collected by and hosted on G2.com.

Prasanth V.

System Engineer

Information Technology and Services

Mid-Market (51-1000 emp.)

5/22/2023

"Incorporating privacy-enhancing technologies and principles"

4/5

What do you like best about Limina?

Private AI emphasizes the need for secure infrastructure to protect AI systems from unauthorized access, data breaches, or other security threats. Robust security measures, including encryption, access controls, and secure communication protocols, are implemented to safeguard the data and models involved in AI processes. Review collected by and hosted on G2.com.

What do you dislike about Limina?

Privacy-preserving techniques used in Private AI can introduce new security risks. Adversarial attacks, where malicious actors try to exploit vulnerabilities in the privacy-enhancing methods, could compromise the confidentiality of sensitive data or undermine the integrity of AI models. Ensuring robust security measures becomes crucial in order to mitigate such risks. Review collected by and hosted on G2.com.

Omkar P.

Senior Software Engineer

Mid-Market (51-1000 emp.)

7/7/2023

Business partner of the seller or seller's competitor, not included in G2 scores.

"Private AI G2"

4.5/5

What do you like best about Limina?

Artificial intelligence is the future and growth to humans in perspective to enrich fine experience using private AI. It is a revolution in technology and Private AI has all its components well defined. Review collected by and hosted on G2.com.

What do you dislike about Limina?

Mostly nothing but what I think more about the increasing demand in user interface which can be improved as time passes and betterment for non-technical gigs to interact with it. Review collected by and hosted on G2.com.

Verified User in Computer Software

Small-Business (50 or fewer emp.)

7/11/2022

"Hands down the best text PII removal product"

5/5

What do you like best about Limina?

I'm so happy that I found PrivateAI, it's difficult to find a highlight because there are so many:

Accuracy

I tested a few other solutions like spaCy and Google DLP but the comparison is not even close. Private AI was able to detect difficult cases like lowercased names which other tools have great difficulties with.

Design

PrivateAI ships as a docker container which you can easily set up in your own cluster, no need to send your data to a third party. Such a setup is IMHO a perfect fit and a must for privacy-focused developer tools!

Languages

They support 30+ languages and all of them with the best accuracy out of all tested tools. The multilingual model they offer was better than language-specific models from spaCy.

Support

Stellar support with quick reaction times and amazing team Review collected by and hosted on G2.com.

What do you dislike about Limina?

No complaints as long as they keep on adding new languages and awesome features! Review collected by and hosted on G2.com.

Recommendations to others considering Limina:

Try the interactive web demo on their page and see if it works on your data! Review collected by and hosted on G2.com.

What problems is Limina solving and how is that benefiting you?

They remove personally identifiable information (PII) from text comments which allows us to help our clients stay GDPR compliant when analyzing customer feedback through our cloud-based SaaS Review collected by and hosted on G2.com.