Top 50 Ai Privacy Platform - Series A

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.

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.

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.

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.

The startup offers a data infrastructure platform that enables secure collaboration among multiple parties while maintaining data ownership and privacy. Its technology features smart access rights management and customized integrations, allowing clients to share and compute data without the risk of privacy leakage.

The startup offers a data security platform that classifies both structured and unstructured data, identifying personal and sensitive information to ensure compliance with regulations like GDPR and CCPA. By providing a real-time catalog of data assets and customizable detection rules, organizations can effectively manage their data security and privacy posture.

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.

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.

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.

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.

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.

Privado automates privacy code scanning to provide real-time visibility and governance over how personal data is collected, used, shared, and stored within software applications. This technology enables organizations to quickly identify privacy risks and ensure compliance with regulations like GDPR and CPRA, reducing the time to build data maps from months to days.

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.

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.

The startup develops a blockchain platform utilizing zero-knowledge proofs to ensure transaction privacy and security. This technology enables web services and financial clients to maintain ownership of tradable applications while safeguarding property rights and user privacy.

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.

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.

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.

SafeGuard Privacy offers an auditable privacy compliance platform that streamlines vendor compliance management for businesses, enabling them to assess, remediate, and share compliance status efficiently. By eliminating the need for spreadsheets and manual tracking, the platform significantly reduces the time and costs associated with privacy compliance, saving companies thousands of hours and dollars.

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.

Streamdal provides a data performance monitoring tool that embeds privacy controls within application code to detect and manage personally identifiable information (PII) in real-time. This solution prevents unintended exposure of sensitive data across messaging systems and data pipelines, ensuring data integrity and compliance.

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.

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.

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.

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.

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.

Hazy provides synthetic data solutions that generate realistic datasets while preserving the statistical properties of the original data, enabling organizations to utilize their data without compromising privacy. This technology addresses the challenge of inaccessible enterprise data due to privacy regulations, allowing businesses to enhance decision-making, accelerate AI development, and drive innovation.

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.

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.

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.

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.

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.

Hinkal provides a self-service decentralized application (dApp) and software development kit (SDK) that enables users to conduct private transactions and manage on-chain assets with institutional-grade security. The platform addresses the need for secure, self-custodial solutions that ensure transaction privacy while maintaining compliance and real-time protection for both individuals and institutions.

The startup offers a cloud-based cyber defense platform that utilizes cognitive computing algorithms and artificial intelligence to simulate hacker techniques, identifying vulnerabilities in network security. By measuring the 3D tomographic attack surface, the platform enables clients to assess their cybersecurity posture and enhance data privacy before potential breaches occur.

Piiano provides a privacy engineering infrastructure that enables developers to securely collect, store, and manage sensitive customer data using APIs for encryption and tokenization. The platform addresses the vulnerability of unencrypted data and insufficient access controls, ensuring data protection even in compromised environments through its zero-trust architecture.

Calimero Network provides a blockchain framework for building peer-to-peer self-sovereign applications that prioritize data ownership and privacy through strong encryption and verified off-chain computing. Users maintain full control over their personal data, deciding who can access it while ensuring secure interactions without reliance on a central authority.

DuckDuckGo is a browser extension that blocks online trackers and enforces secure connections to protect user privacy during web browsing. By enabling anonymous search capabilities, it prevents data collection and enhances user control over personal information.

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.

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.

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.

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.

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.

Pyte provides a secure multiparty computation platform that enables enterprises to collaborate and perform computations on encrypted data without ever decrypting it, ensuring privacy compliance and protection against data breaches. This technology allows organizations to leverage sensitive data across cloud environments and partners while maintaining confidentiality, eliminating the need to share personally identifiable information.

Provides a data flow security platform that monitors, classifies, and remediates sensitive data transfers to third-party APIs and AI tools. It automates redaction, redirection, and compliance workflows, ensuring data residency, privacy governance, and protection against accidental leaks. Deployed on-premises or in private clouds, it enables organizations to maintain control and visibility over their data in transit.

AlgoFace provides a Face AI enablement engine that utilizes facial landmark tracking, eye gaze estimation, and deep fake detection to create ethical and privacy-focused solutions for various applications, including retail and healthcare. The technology allows businesses to reduce R&D costs and enhance customer experiences through accurate face analysis without storing personal data.

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.

Protege is an AI training data platform that connects data holders with vetted data users, ensuring secure and compliant data usage through established IP controls and contract language. The platform streamlines the process of making data accessible for AI development, facilitating efficient discovery, contracting, and delivery of high-quality training datasets.

The startup offers an artificial intelligence infrastructure platform that enhances the transparency of deep learning models by making their decision-making processes explainable. This platform provides insights into AI operations and optimizes cost management, eliminating the need for custom integration or extensive log analysis.

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 a secure collaboration platform that utilizes end-to-end data and algorithm encryption to protect sensitive healthcare data while enabling algorithm validation and development. By connecting data stewards with algorithm developers, the platform ensures that primary data is used without the risk of data exfiltration or unauthorized access to intellectual property.