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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Dynamo AI provides an end-to-end generative AI infrastructure that ensures security, privacy, and compliance across on-premise and cloud environments. Its platform includes automated evaluation, risk remediation, and real-time guardrails, enabling enterprises to deploy AI applications that meet regulatory standards while minimizing operational 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.

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.

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.

The startup offers a federated learning and edge-computing platform that enables AI data-science developers to collaborate while maintaining data privacy and security. By utilizing distributed computing technologies, the platform allows models to continuously improve through local data insights without the need for data transfers, enhancing the accuracy of AI applications across diverse patient populations.

Nexa AI provides an on-device AI development platform that enables users to build and deploy multimodal models for tasks such as text generation, image processing, and speech recognition. This technology ensures data privacy by processing sensitive information locally, reducing latency and operational costs associated with cloud-based AI solutions.

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.

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.

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.

Biography offers a Unified Data Layer for building socially-aware AI agents that leverage user-controlled personal data. This platform enables secure and private data management, allowing AI applications to perform complex tasks like hiring, matchmaking, and event scheduling while ensuring user data sovereignty.

Mind Network provides a decentralized network for validating Fully Homomorphic Encryption (FHE) computations, enabling secure and private data processing. Their platform allows Proof-of-Stake and AI systems to perform computations on encrypted data without decryption, ensuring data privacy and integrity.

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.

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.

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.

Cranium is an AI security and trust platform that continuously monitors AI systems for vulnerabilities while ensuring compliance with internal and third-party AI regulations. By providing visibility into the entire AI supply chain, Cranium helps organizations mitigate risks and build trust without exposing sensitive data.

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.

Portal26 provides an enterprise GenAI adoption platform that offers real-time visibility, governance, and security for generative AI usage across organizations. It enables businesses to monitor compliance, mitigate risks related to data privacy and intellectual property, and enhance employee education through targeted policy distribution and training materials.

Dstillery offers an AI‑driven platform that ingests first‑party data, brand keywords, and contextual cues to create privacy‑compliant, ID‑free programmatic audiences refreshed every 24 hours. The unified model activates these audiences across DSPs, SSPs, and CTV through a single API and includes an LLM‑powered brief assistant that automatically generates audience recommendations.

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.ai employs a zero-trust data protection framework that integrates data security, privacy, and governance into a single platform, enabling businesses to manage sensitive data across cloud, SaaS, and on-premises environments. This approach mitigates data exposure risks and ensures compliance with regulations such as GDPR and HIPAA, while automating data discovery, access control, and privacy management.

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.

The startup provides an open-source platform that implements AI guardrails to mitigate risks associated with generative AI outputs, ensuring compliance with industry standards and preventing sensitive data leaks. By offering real-time hallucination detection and customizable validation tools, it enhances the reliability and safety of AI applications across enterprise infrastructures.

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.

PIN AI develops a decentralized network that transforms mobile devices into AI-powered personal assistants by utilizing on-device large language models and secure data connectors. This technology enables users to manage and process their personal data while maintaining privacy, streamlining task execution across various applications.

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.

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.

APEX provides an agentless AI security platform that offers organizations visibility into generative AI activities, enabling them to monitor data flow and enforce compliance with security policies. The platform addresses risks such as data leakage and AI exploits by centralizing access management and threat detection across various AI applications and tools.

SecurityPal provides a platform that combines AI technology with certified security experts to expedite security, privacy, and governance, risk, and compliance (GRC) reviews, achieving completion in as little as 24 hours. By streamlining the security assessment process, the platform enables companies to focus on revenue generation while ensuring compliance and building trust with partners and customers.

Butlr offers an AI-powered platform that uses anonymous thermal sensing to provide real-time space utilization insights. Its privacy-preserving Heatic sensors detect human presence and movement, enabling optimized building operations and enhanced occupant experiences.

Harmonic Security provides zero-touch data protection tools that enable organizations to monitor and secure sensitive data in the GenAI era. The platform enhances visibility into unauthorized AI applications, mitigating risks of data exposure while ensuring compliance with privacy regulations.

Lakera AI provides a real-time security platform that employs a low-latency AI application firewall to protect enterprises from vulnerabilities associated with large language models (LLMs). The solution specifically mitigates risks such as prompt attacks, data loss, and the generation of inappropriate content, ensuring compliance with privacy regulations.

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.

Vana is a decentralized platform that enables users to own, govern, and monetize their data while contributing to the training of cryptographically verified AI models. By utilizing non-custodial data and Data Liquidity Pools, Vana addresses the issue of centralized data control, allowing developers to access diverse datasets for building personalized applications without compromising user privacy.

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.

The startup offers an AI-powered enterprise search platform that connects and analyzes data across various organizational tools, providing relevant insights and answers. By enabling customizable access and maintaining strict data privacy, the platform enhances team collaboration and streamlines workflows, ensuring secure and efficient information retrieval.

Provides a decentralized platform that uses Optimistic Verifiable Computation (OVC) to authenticate and bring real user data from any API or website on-chain. This enables secure data sharing, privacy preservation, and custom data feeds for applications like AI training, user targeting, and on-chain infrastructure, empowering users to reclaim and monetize their data contributions.

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.

Symitri provides a real-time privacy firewall and data cleanroom that enables advertisers and publishers to optimize campaign performance while maintaining strict consumer data privacy. By utilizing a double-blind security approach and AI-driven analytics, Symitri ensures compliance and maximizes the value of owned data without exposing personal information in the programmatic advertising ecosystem.