Private AI
Data de-identification tools
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
Take the quiz to check if Private AI and its alternatives fit your requirements.
Contact the product provider
Free Trial unavailable
Free version
Small
Medium
Large
- Healthcare and life sciences
- Professional services (engineering, legal, consulting, etc.)
- Education and training
What is Private AI
Private AI is a data de-identification tool focused on detecting and removing or transforming sensitive information in unstructured text. It is used by engineering, data, and security teams to reduce exposure of personal and confidential data in workflows such as customer support logs, documents, and data sent to analytics or AI/LLM services. The product centers on automated PII/PHI detection with configurable redaction and replacement, typically delivered via APIs and deployable in controlled environments. It is positioned for organizations that need text-first de-identification rather than database-centric masking.
Strong unstructured text focus
Private AI is designed around identifying sensitive entities in free-form text, which is a common gap in tools optimized for structured databases. This makes it suitable for de-identifying support tickets, chat transcripts, emails, and narrative clinical or legal text. It supports workflows where sensitive data appears inconsistently and cannot be reliably masked with simple field-level rules.
API-first integration model
The product is commonly implemented as a service/API that can be embedded into ingestion pipelines, application middleware, or data processing jobs. This approach fits teams that need de-identification as a reusable component across multiple systems. It can be applied before data is stored, shared with vendors, or used for model training and evaluation.
Configurable redaction and transformation
Private AI supports configurable handling of detected entities, such as redaction or replacement, to align with different privacy and retention requirements. This enables teams to choose between irreversible de-identification and reversible pseudonymization patterns depending on policy. Configuration helps standardize treatment of sensitive data across datasets and applications.
Less suited for structured masking
Compared with platforms built for enterprise databases, Private AI is less centered on field-level masking, tokenization, and referential integrity across relational datasets. Organizations with heavy structured-data privacy requirements may still need complementary database masking or tokenization tooling. This can increase architecture complexity when both structured and unstructured data must be protected consistently.
Detection accuracy requires tuning
Entity detection in unstructured text can vary by domain, language, and writing style, and typically requires evaluation and tuning to meet internal risk thresholds. False positives can reduce data utility, while false negatives can create residual privacy risk. Teams should plan for testing, sampling, and ongoing monitoring as data sources change.
Operational and deployment considerations
Running de-identification at scale can introduce latency and compute cost, especially for high-volume text streams. Some organizations also require specific deployment models (for example, on-premises or VPC) and strict controls around logging and data retention, which can affect implementation effort. Procurement may require detailed security documentation and validation for regulated environments.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Free | Free | Upload files, access shared articles and knowledge graphs, use free research tools. (Stated on official site: "Free plan") |
| Premium Subscription | Pricing not listed on official site / Not disclosed | "Faster data encryption and instant knowledge graph generation. Access exclusive, high-quality knowledge clusters and enjoy higher API rate limits." (Stated on official site.) |
| Enterprise / Corporate Solutions | Pricing not listed on official site / Contact sales | "Unlimited API requests, dedicated integration support, early access to real world data. Companies can connect multiple user accounts." (Stated on official site.) |
