Top 50 Ai Privacy Platform - Series B

Cloaked provides a unified privacy platform that removes users’ personal records from over 120 data brokers, continuously monitors dark‑web exposure, and includes $1 million identity‑theft insurance. It generates disposable phone numbers and email addresses with call and SMS routing, and employs AI‑driven defenses to block spam calls, deepfake scams, and credential threats, all stored in a zero‑knowledge, client‑side encrypted vault.

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.

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.

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.

The startup offers a privacy software platform that enables publishers and advertisers to obtain legally compliant consent from consumers for data usage. This service allows digital publishers to engage with users who employ ad blockers, test compensation strategies, and generate revenue while ensuring consumer privacy.

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.

Duality provides a platform that utilizes privacy-enhancing technologies to enable secure collaboration and analysis of encrypted data across organizations. This approach addresses challenges related to data privacy, intellectual property protection, and regulatory compliance, allowing enterprises to derive insights without exposing sensitive information.

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.

Cassava Network provides a blockchain-based infrastructure for managing and monetizing social data through its Value Mining Protocol, utilizing Fully Homomorphic Encryption and zero-knowledge proof technologies to ensure user privacy. This platform enables users to securely collect, store, and analyze their data, facilitating AI-driven insights while complying with data protection regulations like GDPR and CCPA.

This company provides accelerated computing platforms and software solutions for AI, high-performance computing, and data centers. They offer specialized hardware like GPUs and integrated systems to power demanding workloads across various industries. Their technology enables advancements in areas ranging from autonomous vehicles and robotics to scientific visualization and generative AI development.

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.

DataGrail provides a privacy management platform that automates data subject access requests, consent management, and risk assessments across an organization’s data ecosystem. This solution reduces the manual effort required for compliance, enabling companies to efficiently manage privacy regulations while minimizing risk exposure and enhancing customer trust.

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.

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.

Adaptive ML develops a platform that enables companies to privately tune and deploy language models using reinforcement learning from human feedback. This technology allows businesses to enhance model performance while maintaining data privacy and optimizing outputs based on specific user metrics.

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.

Provides a privacy management platform that generates unique virtual identities—such as emails, phone numbers, and passwords—for each online account, reducing the risk of data exposure and identity theft. The service includes tools for encrypted password storage, identity monitoring, data removal from brokers, and $1 million in identity theft insurance, ensuring comprehensive protection against fraud and breaches.

The startup offers an artificial intelligence-based machine learning operations platform that organizes mobile data to provide actionable insights at scale. By integrating proprietary and mobile operator data, the platform enables businesses to enhance their data-driven strategies and effectively target customers, maximizing the value of their data systems.

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.

Transcend provides a real-time permissioning layer that automates data and consumer preference governance across enterprise data and vendor ecosystems. The platform offers real-time data discovery, orchestration, and enforcement to ensure consistent data handling across the tech stack. This infrastructure enables businesses to unlock user data value for AI and personalization while maintaining regulatory compliance.

Nillion provides a decentralized computing network that utilizes cryptographic techniques to securely process and store sensitive data, enabling the development of privacy-enhancing applications across various industries. By distributing trust and employing Information-Theoretic Security, Nillion addresses the risks associated with centralized data control, facilitating secure AI training and confidential data management.

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.

Flower provides a framework‑agnostic federated learning platform that lets developers add privacy‑preserving distributed training to existing PyTorch, TensorFlow, JAX, scikit‑learn, and other models with a few lines of code. The SDK supports simulation on a single machine and production orchestration across cloud, mobile, and edge devices, offering built‑in strategies, differential‑privacy, and federated analytics. An enterprise tier adds managed deployment, security hardening, and SLA‑backed support for regulated industries.

Zama develops open-source solutions utilizing Fully Homomorphic Encryption (FHE) to enable secure processing of encrypted data for blockchain and AI applications. This technology allows data scientists to run models on sensitive information without exposing the underlying data, ensuring privacy while maintaining functionality.

Apheris provides a federated learning platform that enables secure and compliant collaboration on distributed data without the need to transfer sensitive information. This technology allows organizations to build machine learning models and gain insights from diverse data sources while maintaining data privacy and regulatory compliance.

Provides an API-based data privacy vault that uses polymorphic encryption and tokenization to secure sensitive data, such as PII and payment information, across any technology stack. It enables organizations to comply with regulations like HIPAA, PCI, GDPR, and PIPL while maintaining data usability for analytics, customer support, and AI applications without exposing sensitive information.

Borneo is a data security platform that provides real-time visibility, assessment, and remediation of sensitive data across its entire lifecycle, utilizing machine learning for automated discovery and classification of personally identifiable information (PII). It addresses the challenges of data misuse and compliance gaps by enabling organizations to maintain control over their data while ensuring adherence to privacy regulations without ongoing management overhead.

The company provides an AI-driven decision intelligence platform that unifies data ingestion, advanced analytics, and automated risk scoring for credit underwriting, transaction fraud detection, and regulatory compliance. Its core includes ApexDB, a Redis‑compatible distributed key‑value store delivering up to 1 M TPS with sub‑millisecond latency, and a privacy‑computing layer for secure multi‑party data collaboration. The solution is accessed via REST APIs, language‑agnostic SDKs, and a web dashboard, and can be deployed on‑premise, private cloud, or SaaS for banks, fintechs, insurers, e‑commerce platforms, and smart‑city operators.

Uniuni Co develops a privacy-protecting AI system that utilizes de-identified behavioral pattern analysis to enhance the safety and convenience of public toilet facilities. The technology addresses the need for secure and hygienic restroom solutions, particularly for vulnerable populations.

Oort is a decentralized cloud computing platform that utilizes a blockchain-based verification layer to integrate global resources for secure data storage and AI model training. By leveraging idle computing power from data centers and edge devices, Oort reduces costs by up to 80% while ensuring 100% privacy for all data services.

SecurityPal offers an Assurance Management Platform that streamlines security, privacy, and GRC reviews using AI agents and expert human analysts. This integrated solution accelerates security questionnaire completion and vendor risk management (TPRM) processes for GRC and Go-to-Market teams. The platform enables organizations to efficiently manage compliance tasks and showcase security posture through a centralized Trust Center.

CalypsoAI provides an adaptive AI security platform that employs prompt injection protection and jailbreak detection to prevent unauthorized access and data leaks. The solution ensures compliance with regulatory standards while safeguarding sensitive information and intellectual property, enabling enterprises to innovate securely.

Relyance AI provides a data compliance platform that offers visibility into enterprise data processing by mapping data flows and comparing them against regulatory obligations and contracts. This technology helps organizations mitigate risks related to data breaches and non-compliance, ensuring they meet privacy regulations and maintain customer trust.

Nightfall is a cloud data protection platform that utilizes an AI-native detection engine to accurately identify and remediate sensitive data across various applications and environments. It addresses the risk of data leaks and compliance violations by providing real-time visibility and automated remediation for personally identifiable information (PII), personal health information (PHI), and other critical data types.

Anonos provides the Data Embassy platform, a policy‑as‑code engine that encodes GDPR, CCPA and other regulations into machine‑readable policies and enforces them automatically on data wherever it resides—on‑prem, public cloud, or partner sites. The platform applies protection at ingestion, transformation, and export, supports cross‑border residency routing, AI data provenance, and on‑demand synthetic or masked test data, while logging all actions to an immutable audit trail accessible via API. It enables regulated enterprises to share and analyze sensitive data faster without compromising compliance.

Fhenix is a Layer 2 rollup on Ethereum that utilizes fully homomorphic encryption (FHE) to enable confidential smart contracts and encrypted computation of data without decryption. This technology addresses the need for on-chain privacy, allowing for secure applications such as confidential voting, private auctions, and decentralized identity management.

Pienso provides a no-code platform for training and deploying customized Large Language Models (LLMs) using both structured and unstructured data, enabling users to categorize, label, and analyze their data efficiently. The solution ensures data privacy by operating in the user's environment, allowing businesses to gain real-time insights while maintaining control over their sensitive information.

1touch.io provides a sensitive data intelligence platform that utilizes supervised AI to achieve 98.6% accuracy in structured data and 100% accuracy in unstructured data across various environments, including on-premises and multi-cloud systems. The platform enables organizations to identify and protect sensitive information in real-time, addressing the challenge of unknown data exposure and compliance with privacy regulations.

Aetion Generate utilizes generative AI to produce privacy-preserving synthetic datasets from real-world and clinical data, enabling organizations to share and analyze sensitive information without compromising privacy. This technology addresses the challenge of accessing and utilizing valuable data while mitigating re-identification risks and enhancing dataset completeness for improved insights.

SpruceID provides an open-standards, API-driven platform for issuing and verifying secure digital credentials, such as mobile driver's licenses. This platform enables organizations to deploy standards-aligned digital transformation solutions quickly, reducing fraud and enhancing user satisfaction. The system ensures privacy-first verification by processing checks directly on the device without tracking usage by the issuing authority.

Lakera provides an AI-native security platform designed to protect enterprise GenAI applications from emerging threats like prompt injection and data leakage. The platform offers continuous, real-time protection that adapts dynamically to evolving AI vulnerabilities without impeding development speed. It enables teams to deploy LLM-powered applications confidently with centralized policy control and ultra-low latency performance.

EigenCloud provides verifiable infrastructure for AI inference, general compute, and data availability, embedding cryptographic proofs into each operation. Its EigenAI service delivers deterministic, OpenAI‑compatible LLM inference, while EigenCompute generates succinct execution proofs for arbitrary container workloads, and EigenDA offers a high‑throughput (≈100 MB/s) data availability layer for rollups. Operators can stake ETH and EIGEN on EigenLayer to secure these off‑chain services and earn rewards.

Neeva is a private search engine that utilizes advanced algorithms to deliver personalized search results without the influence of advertisements. This approach ensures users can efficiently find relevant information while maintaining their privacy and data security.

TripleBlind develops quantum-safe and cryptographically secure software solutions, including Privacy Suite for HIPAA-compliant sharing of protected health data and SecuriKey to prevent account takeover attacks. These products enable secure data sharing and enhance user account protection, addressing critical privacy and security challenges in the digital landscape.