Top 50 Ai Privacy Platform - Series A

Provides an AI-powered data privacy platform that tokenizes sensitive information using synthetic data, enabling organizations to protect, govern, and comply with regulations like GDPR, CCPA, and HIPAA. The zero-trust architecture ensures that only the organization controls its data, reducing breach risks and lowering total cost of ownership while supporting over 50,000 data types and 100+ sources.

Opaque provides a confidential computing platform that enables organizations to analyze encrypted data in the cloud without compromising privacy. By leveraging cryptographic techniques, Opaque allows businesses to unlock sensitive data for AI workloads while ensuring compliance with data protection regulations.

MineOS is a data privacy and governance platform that utilizes AI-driven data mapping and classification techniques to automate compliance with privacy regulations. It addresses the challenges of managing sensitive information and data subject requests by providing centralized workflows and real-time visibility across diverse data sources.

The startup offers a data security platform that enables clients to securely analyze and collaborate on data assets without exposing sensitive content. By utilizing advanced techniques for data anonymization and secure insights derivation, the platform facilitates safe data monetization and cross-matching of third-party data.

PIN AI builds infrastructure for personalized AI assistance by connecting user data to on-device Large Language Models. The platform enables specialized agents to perform tasks using the user's private data while maintaining data ownership and privacy through a blend of edge and cloud compute. This ecosystem empowers individuals with custom AI systems that generate value aligned with their unique preferences.

Private AI provides an on‑premise or cloud‑native platform that automatically identifies and redacts personally identifiable information across text, PDFs, images, and audio in over 50 entity types and 52 languages. The solution uses transformer models to deliver high‑precision de‑identification via REST APIs, SDKs, and a web UI, and includes a PrivateGPT layer that scrubs data before it is sent to external large language model services. Additional features such as tokenization, pseudonymization, synthetic PII generation, and audit‑ready compliance reporting support regulated enterprises and AI developers.

The startup offers a cloud-based data privacy and compliance platform that utilizes artificial intelligence and machine learning for forensic data detection and redaction. This technology enables organizations to efficiently process and protect unstructured data, significantly reducing time and costs associated with manual review of sensitive information.

Verida provides a decentralized data platform that enables users to securely manage their personal data and credentials through confidential compute and encrypted storage. This technology addresses the fragmentation of private data across third-party systems, ensuring that sensitive information remains protected while allowing AI models to access necessary context for personalized experiences.

This company provides an AI-powered agent for comprehensive personal data protection, automatically opting users out from data brokers and reducing their digital footprint. The service scans for and removes exposed personal information across the web while offering identity theft monitoring and insurance. Users gain control over who retains their data, minimizing risks associated with fraud and data breaches.

The startup develops data privacy software that enables organizations to find, redact, and generate synthetic personally identifiable information while integrating seamlessly into existing infrastructures. This allows businesses to analyze large datasets containing sensitive information without compromising user privacy.

The startup offers a data ecosystem platform that utilizes hardware cryptography and machine learning to enable secure data access and analysis for data scientists and business users. This technology allows organizations to collaborate on sensitive data without compromising confidentiality, unlocking valuable insights that would otherwise remain untapped.

MOSTLY AI provides a platform that generates fully anonymous synthetic data using optimized Generative AI models, enabling organizations to share sensitive data while ensuring compliance with privacy regulations like GDPR and CCPA. This technology addresses the challenge of restricted data access for AI/ML development and analytics, allowing teams to derive insights and improve model performance without compromising data privacy.

The startup offers a cloud-based data privacy platform that analyzes and provides insights on global online privacy policies, enabling companies to comply with diverse data protection regulations. By delivering actionable intelligence, the platform helps clients make informed decisions regarding data sharing practices with websites and service providers.

Sahara AI is a decentralized AI network that utilizes blockchain technology to enable users to securely deploy and monetize autonomous AI while maintaining control over their data and models. The platform addresses the need for privacy-preserving AI solutions by providing a transparent marketplace for AI assets and collaborative development among participants.

The startup develops data visualization software that utilizes synthetic data generation to replace personal data and rebalance biased datasets, enabling secure and fair analysis. This technology allows businesses to leverage AI opportunities for comprehensive data insights, enhancing operational efficiency and decision-making.

Secuvy is a cloud-native data intelligence platform that utilizes self-learning AI to discover, classify, and correlate sensitive data across structured and unstructured environments, ensuring compliance with global privacy regulations. The platform automates data security and privacy workflows, significantly reducing operational costs and minimizing risks associated with data breaches and compliance violations.

PVML is a data access platform that utilizes differential privacy to enable secure, real-time analytics on sensitive datasets without exposing personally identifiable information. This technology allows organizations to maintain compliance with privacy regulations while facilitating safe data sharing and collaboration across teams and third parties.

Oblivious provides a data privacy platform that utilizes differential privacy and secure enclaves to enable organizations to analyze sensitive data without exposing individual information to unauthorized users, including internal data scientists. This technology minimizes data exposure risks while allowing seamless integration with existing systems, facilitating secure collaboration with internal and external partners.

Ethyca is a privacy engineering platform that automates 90% of data privacy compliance tasks using Fides privacy intelligence, enabling organizations to manage consent, automate privacy requests, and generate compliance reports efficiently. By integrating privacy as code into software development, Ethyca helps businesses build trust with customers while minimizing the complexity and manual effort associated with evolving privacy regulations.

GetVisibility provides AI-driven data security and privacy management solutions that deliver real-time analysis and visibility across cloud and on-premises environments. The platform addresses data exposure risks by enabling organizations to efficiently monitor and protect sensitive information, ensuring compliance and reducing vulnerabilities.

Protecto provides AI-powered data protection by automatically identifying and masking sensitive information such as PII and PHI, ensuring compliance with regulations like GDPR and HIPAA. The platform enhances the security of GenAI applications while maintaining model accuracy, allowing businesses to leverage AI without compromising data privacy.

NumberEight develops on-device AI software that utilizes mobile sensors to predict user context and behavior without relying on personal identifiers. This technology enhances ad revenue by providing ID-less demographic insights and behavioral intelligence, achieving an average revenue increase of 15% while ensuring privacy compliance.

Oasis Labs provides a privacy-first cloud computing platform built on blockchain technology, enabling organizations to utilize data securely while maintaining confidentiality. Their enterprise solutions leverage decentralized architecture to protect sensitive information, facilitating responsible data use in compliance with privacy regulations.

REALLY offers a fully encrypted phone service that ensures secure calling, browsing, and data protection through advanced encryption technology and AI-powered privacy assistants. The platform addresses the lack of reliable and private communication options, particularly for individuals in underserved areas, while also supporting a decentralized wireless network to enhance coverage and speed.

Lightbeam provides an identity-centric platform for Data Security Posture Management (DSPM), access governance, and privacy operations. The platform discovers, classifies, and maps sensitive data to human identities using a Data Identity Graph. This approach enables automated remediation and compliance enforcement across cloud, SaaS, and on-prem environments.

Dynamo AI provides a platform‑as‑a‑service that embeds security, privacy, and regulatory controls into the generative AI lifecycle for enterprises. Its DynamoEval suite performs automated pre‑production risk assessments and red‑team simulations, while DynamoGuard enforces real‑time guardrails that block prohibited content, detect hallucinations, and prevent data exfiltration. A unified observability console and AI‑assisted policy authoring tools deliver continuous auditing and policy updates for regulated sectors.

Kamiwaza.ai provides a Gen AI stack that integrates an Inference Mesh and a locality-aware Distributed Data Engine, enabling enterprises to process data where it resides without compromising privacy. This technology allows businesses to achieve scalable AI solutions, targeting 1 trillion inferences per day while maintaining stringent security protocols for sensitive information.

Privacera provides a unified data access and governance platform that automates the creation and enforcement of security policies across diverse data environments, ensuring compliance with regulations like GDPR and HIPAA. The platform enables organizations to discover, protect, and monitor sensitive data while streamlining access for authorized users, significantly reducing onboarding time and compliance risks.

FLock.io provides a federated learning platform that enables decentralized AI model training while ensuring data privacy and ownership through local data processing. By facilitating collaborative model fine-tuning and governance on-chain, the platform addresses the challenges of data security and accessibility in AI development.

Nymiz offers AI-driven data anonymization and redaction software that replaces sensitive information with synthetic data, tokenization, or asterisks, ensuring compliance with GDPR and other privacy regulations. This technology enables organizations to securely share data for analysis and machine learning while maintaining data usability and context.

Tapad provides a privacy‑first, AI‑driven cross‑device identity graph that links individual devices to households at global scale. By ingesting hashed first‑party identifiers and applying deterministic and probabilistic matching, the platform delivers real‑time data enrichment via APIs and a dashboard for targeting, measurement, and attribution. The solution maintains GDPR/CCPA compliance and continuously updates the graph through machine learning.

The startup offers a privacy and risk management platform that automates due diligence processes for compliance with regulations such as GDPR, CCPA, and LGPD. This platform enables organizations to effectively manage third-party and vendor risk throughout the vendor lifecycle, enhancing oversight and operational efficiency.

VIA utilizes blockchain technology and artificial intelligence to provide real-time, anonymous data verification and automated ingestion of decentralized data sources for energy companies. This approach protects enterprises from data theft, manipulation, and misuse while enabling privacy-preserving analysis to meet regulatory and operational requirements.

Provides a platform for governing enterprise use of generative AI (GenAI) by detecting unauthorized usage, mitigating data security risks, and controlling access to private models and sensitive information. It enables organizations to safely adopt GenAI by recording interactions, generating audit trails, and enforcing granular access policies, preventing data leaks while integrating enterprise data for personalized insights.

EdgeRunner AI develops domain-specific, on-device Generative AI assistants for the military, public sector, and regulated enterprises. This technology enables secure, air-gapped AI inference with near-zero latency by eliminating reliance on cloud connectivity. The platform ensures data privacy, simplifies compliance, and provides task-specific explainable models that run locally on minimal hardware.

WitnessAI provides a platform that enables enterprises to monitor AI activity, enforce usage policies, and secure data against misuse and attacks. This solution addresses the challenges of maintaining control, privacy, and security while leveraging generative AI technologies.

The startup offers a data protection and security platform that enables real-time access to data without the need for data movement or duplication, ensuring compliance with data governance policies. This solution effectively manages data access across diverse environments, including cloud technology and AI projects, while maintaining security and reducing operational costs.

Aim Security is a GenAI security platform that provides organizations with visibility and control over their AI applications, ensuring compliance with data privacy regulations and internal policies. The platform enables enterprises to manage AI risks by auditing data interactions, detecting malicious prompts, and enforcing security configurations across their AI ecosystem.

ORO is a human intelligence protocol that allows individuals to securely contribute their data to AI development while earning token rewards. It uses privacy-preserving technologies like zero-knowledge proofs and TEEs to anonymize data, ensuring AI models improve without compromising user privacy or fair compensation.

The startup offers an ethical facial analysis platform that captures demographic data, dwell time, and sentiment in real-time while ensuring user privacy. By minimizing bandwidth requirements, the platform enables businesses to deliver adaptive content at the point of purchase, effectively reaching diverse audiences without compromising personal information.

Dynamo AI provides a Platform as a Service suite to accelerate the secure and compliant productionization of enterprise AI use cases. The platform offers automated AI evaluations, customizable compliance guardrails, and real-time hallucination detection to mitigate security and governance risks. This enables organizations to deploy generative and agentic AI confidently with continuous monitoring and auditing capabilities.

AppFlowy is an open-source no-code platform that enables users to create and manage wikis, notes, and tasks while maintaining full control over their data through self-hosting options. The platform integrates AI capabilities to enhance productivity by providing contextual insights, automating updates, and facilitating collaboration across devices.

Ocean provides a decentralized protocol for tokenizing and monetizing AI models and data while maintaining user privacy. The platform utilizes Data NFTs and Datatokens to control access and enable secure Compute-to-Data functionality. This infrastructure allows developers to build and train AI capabilities efficiently on secure, modular computational resources.

Afina provides an AI‑driven platform that converts anonymized subscriber behavior data into precision‑targeted mobile advertising campaigns for telecom operators. The system automatically segments audiences, selects the optimal channel (SMS, RCS, push, etc.) and timing, and delivers ads in a privacy‑compliant way, with real‑time analytics and a revenue‑share pricing model tied to performance.

Provides a data clean room platform that enables businesses to securely collaborate and analyze decentralized data without moving it, preserving privacy and compliance. This technology allows organizations to derive actionable insights from walled gardens and private datasets, supporting use cases like advanced segmentation, measurement, and model enrichment without requiring coding expertise.

Prompt Shields protects sensitive data in generative AI workflows by detecting and masking PII in real-time. It enforces data sensitivity policies and access controls to prevent AI oversharing and ensure compliance.

Oblivious offers a middleware platform that adds differential privacy to analytical queries, enabling data scientists to obtain insights without exposing raw records. Its confidential computing runtime runs workloads inside hardware secure enclaves, protecting data during processing, and both solutions integrate with major cloud and on‑premise data warehouses via standard APIs while providing compliance controls such as audit logging and ISO 27001/SOC 2 certification.

Provides a security platform that enables regulated enterprises to safely integrate and govern generative AI across all workflows, including web applications and desktop environments. It ensures complete data security, granular access controls, and real-time observability, allowing organizations to leverage AI tools without compromising compliance or privacy.

Rhino Health provides a federated compute platform that utilizes federated learning and edge computing to enable secure, privacy-preserving access to healthcare data across multiple institutions. This approach significantly reduces project setup times from months to days while ensuring compliance with data privacy regulations, allowing AI developers to efficiently train models without exposing sensitive information.

Jitsu utilizes artificial intelligence and machine learning to enhance business intelligence decision-making by providing secure data analysis. The platform enables organizations to derive actionable insights from their data while ensuring data privacy and integrity.