Alternatives to Private AI
Compare Private AI alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Private AI in 2026. Compare features, ratings, user reviews, pricing, and more from Private AI competitors and alternatives in order to make an informed decision for your business.
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Windocks
Windocks
Windocks is a leader in cloud native database DevOps, recognized by Gartner as a Cool Vendor, and as an innovator by Bloor research in Test Data Management. Novartis, DriveTime, American Family Insurance, and other enterprises rely on Windocks for on-demand database environments for development, testing, and DevOps. Windocks software is easily downloaded for evaluation on standard Linux and Windows servers, for use on-premises or cloud, and for data delivery of SQL Server, Oracle, PostgreSQL, and MySQL to Docker containers or conventional database instances. Windocks database orchestration allows for code-free end to end automated delivery. This includes masking, synthetic data, Git operations and access controls, as well as secrets management. Windocks can be installed on standard Linux or Windows servers in minutes. It can also run on any public cloud infrastructure or on-premise infrastructure. One VM can host up 50 concurrent database environments. -
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PrivacyPillar
PrivacyPillar
PrivacyPillar Consent Management Platform (CMP) is a global, cloud-based data privacy management solution that helps agencies and organizations collect and manage first-party data, all while complying with the latest industry guidelines and as new compliance regulations expand in additional countries and US states. PrivacyPillar CMP enables businesses to give power back to their customers with control over their consent to sharing data, leading to better segmentation, personalization, and addressability across devices, while meeting compliance requirements for web & mobile. PrivacyPillar CMP is a comprehensive solution to manage multiple brands and websites in one place, helps you organize your consent across all domains, brands, and websites in real time, and providing a centralized dashboard for managing all your website's data privacy operations, including GDPR, CCPA, CPRA, LGPD consent and right to be forgotten requests.Starting Price: $9/month -
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DATPROF
DATPROF
Test Data Management solutions like data masking, synthetic data generation, data subsetting, data discovery, database virtualization, data automation are our core business. We see and understand the struggles of software development teams with test data. Personally Identifiable Information? Too large environments? Long waiting times for a test data refresh? We envision to solve these issues: - Obfuscating, generating or masking databases and flat files; - Extracting or filtering specific data content with data subsetting; - Discovering, profiling and analysing solutions for understanding your test data, - Automating, integrating and orchestrating test data provisioning into your CI/CD pipelines and - Cloning, snapshotting and timetraveling throug your test data with database virtualization. We improve and innovate our test data software with the latest technologies every single day to support medium to large size organizations in their Test Data Management. -
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Immuta
Immuta
Immuta is the market leader in secure Data Access, providing data teams one universal platform to control access to analytical data sets in the cloud. Only Immuta can automate access to data by discovering, securing, and monitoring data. Data-driven organizations around the world trust Immuta to speed time to data, safely share more data with more users, and mitigate the risk of data leaks and breaches. Founded in 2015, Immuta is headquartered in Boston, MA. Immuta is the fastest way for algorithm-driven enterprises to accelerate the development and control of machine learning and advanced analytics. The company's hyperscale data management platform provides data scientists with rapid, personalized data access to dramatically improve the creation, deployment and auditability of machine learning and AI. -
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Accountable
Accountable HQ
Accountable can supercharge your risk management and empower your team by simplifying the process of managing risk across all levels of your organization, become compliant with HIPAA, GDPR, CCPA and more privacy laws, and build trust with your customers and partners. Easily comply with global privacy laws such as HIPAA, GDPR, CPRA and more using Accountable's easy-to-use solution for privacy compliance. Manage risk by identifying and mitigating vulnerabilities by using Accountable's security risk and data protection impact assessments, giving you confidence in risk management. Monitor 3rd and 4th party vendor risk with ease with built in questionnaires and business agreement templates. The employee portal gives your team a way to stay up to date on security awareness and HIPAA training as well as the ability to review policies or report potential security issues. Share compliance, security, and privacy reports with those inside and outside your organization.Starting Price: $399.00/month -
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Protecto
Protecto
While enterprise data is exploding and scattered across various systems, oversight of driving privacy, data security, and governance has become very challenging. As a result, businesses hold significant risks in the form of data breaches, privacy lawsuits, and penalties. Finding data privacy risks in an enterprise is a complex, and time-consuming effort that takes months involving a team of data engineers. Data breaches and privacy laws are requiring companies to have a better grip on which users have access to the data, and how the data is used. But enterprise data is complex, so even if a team of engineers works for months, they will have a tough time isolating data privacy risks or quickly finding ways to reduce them.Starting Price: Usage based -
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Statice
Statice
We offer data anonymization software that generates entirely anonymous synthetic datasets for our customers. The synthetic data generated by Statice contains statistical properties similar to real data but irreversibly breaks any relationships with actual individuals, making it a valuable and safe to use asset. It can be used for behavior, predictive, or transactional analysis, allowing companies to leverage data safely while complying with data regulations. Statice’s solution is built for enterprise environments with flexibility and security in mind. It integrates features to guarantee the utility and privacy of the data while maintaining usability and scalability. It supports common data types: Generate synthetic data from structured data such as transactions, customer data, churn data, digital user data, geodata, market data, etc We help your technical and compliance teams validate the robustness of our anonymization method and the privacy of your synthetic dataStarting Price: Licence starting at 3,990€ / m -
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Anonomatic
Anonomatic
Safely store, anonymize, mask, mine, redact, and share sensitive data with 100% data accuracy and full international data privacy compliance. Reap significant time and cost savings, with no loss of functionality, when you separate PII from identified data. Embed PII Vault to create innovative solutions, reduce time to market, and deliver the most PII secure solutions anywhere. Unlock data to deliver more accurate and targeted messaging. Provide one, simple step to anonymize all data before it reaches your platform. Combine disparate, anonymous data sets at the individual level without ever receiving PII once that data has been anonymized with Poly- Anonymization™. Replace PII with a compliant multi-value, non-identifying key used in anonymous data matching to link data from multiple organizations. -
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LeapYear
LeapYear Technologies
Differential privacy is a mathematically proven standard of data privacy that ensures all data can be used for analytics and machine learning without the risk of compromising information about individual records. LeapYear’s differentially private system protects some of the world’s most sensitive datasets, including social media data, medical information, and financial transactions. The system ensures analysts, data scientists, and researchers can derive value from all of the data, including data of highly sensitive fields, while protecting all facts about individuals, entities, and transactions. Traditional approaches, such as aggregation, anonymization, or masking degrade data value and can be easily exploited to reconstruct sensitive information. LeapYear’s implementation of differential privacy provides mathematically proven assurances that information about individual records cannot be reconstructed, while also enabling all of the data to be leveraged for reporting -
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Piiano
Piiano
Emerging privacy policies often conflict with the architectures of enterprise systems that were not designed with sensitive data protection in mind. Piiano pioneers data privacy engineering for the cloud, offering the industry’s first personal data protection and management platform to transform how enterprises build privacy-forward architecture and operationalize privacy practices. Piiano provides a pre-built, developer-friendly infrastructure to dramatically ease the adoption or acceleration of enterprise privacy engineering and help developers build privacy-by-design architecture. This engineering infrastructure safeguards sensitive customers’ data, preempts breaches, and helps enterprises comply with privacy regulations as they evolve. The Vault is a dedicated, protected database for centralizing sensitive information that developers can install into enterprise VPC (Virtual Private Cloud). This ensures that the vault–and everything in it–is only accessible to the enterprise. -
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Syntho
Syntho
Syntho typically deploys in the safe environment of our customers so that (sensitive) data never leaves the safe and trusted environment of the customer. Connect to the source data and target environment with our out-of-the-box connectors. Syntho can connect with every leading database & filesystem and supports 20+ database connectors and 5+ filesystem connectors. Define the type of synthetization you would like to run, realistically mask or synthesize new values, automatically detect sensitive data types. Utilize and share the protected data securely, ensuring compliance and privacy are maintained throughout its usage. -
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PieEye
PieEye
PieEye simplifies the complex process of managing user consent and compliance with privacy regulations, such as GDPR and CPRA/CCPA. The quickest, easiest, most efficient, and most automated solution for any ecommerce business; large, medium, or small. There is no need to do headstands and spend weeks or even months on tedious compliance work when our platform can get you up and running in minutes. Easy-to-install, easy-to-install, and automate, PieEye allows you to streamline your compliance efforts and focus on what really matters: growing your business. Discover how effortless compliance can be. With more data privacy laws, cookie compliance is more important than ever. Our cutting-edge cookie banner makes your website fully compliant with all regulations, safeguarding your customers’ data rights and protecting you. Our automated platform streamlines the entire process, enabling you to easily manage requests and ensure compliance with all relevant regulations.Starting Price: $29 per month -
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Tonic
Tonic
Tonic automatically creates mock data that preserves key characteristics of secure datasets so that developers, data scientists, and salespeople can work conveniently without breaching privacy. Tonic mimics your production data to create de-identified, realistic, and safe data for your test environments. With Tonic, your data is modeled from your production data to help you tell an identical story in your testing environments. Safe, useful data created to mimic your real-world data, at scale. Generate data that looks, acts, and feels just like your production data and safely share it across teams, businesses, and international borders. PII/PHI identification, obfuscation, and transformation. Proactively protect your sensitive data with automatic scanning, alerts, de-identification, and mathematical guarantees of data privacy. Advanced sub setting across diverse database types. Collaboration, compliance, and data workflows — perfectly automated. -
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NMTY Enterprise
NMTY
NMTY Enterprise helps you protect all your privacy-sensitive data within your organization, regardless if it is stored in databases or files. Make NMTY Enterprise part of your IT environment and immediately anonymize all data sources that need to be protected. NMTY Enterprise makes it possible to anonymize data regardless of how it is stored, from databases to individual files. Anonymize data stored in a database or in separate files such as CSV and XML. Data is always anonymized directly within the source. This prevents non-anonymized data from being duplicated unnecessarily. Connections to your data sources support integrated authentication and are always encrypted when stored. In addition to anonymizing datasets, it is also possible to directly anonymize data processed within documents and images. Our solutions are developed based on the latest innovations and integrate directly into your existing processes. This way we ensure we always achieve the maximum result. -
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Privacy Analytics
Privacy Analytics
Privacy Analytics provides data anonymization services and software for organizations in the consumer and healthcare industries. We enable you to use your sensitive data assets safely and responsibly for innovation that benefits everyone. With Privacy Analytics you can safely de-identify health data to the highest standard, while preserving its utility. Regulatory deadlines are getting more stringent. Timelines to fulfill data requests are getting tighter. Pressure to uphold your company’s reputation has never been more apparent. The climate around data privacy continues to intensify. Everyone from consumers to regulators are holding organizations accountable. With so many stakeholders demanding more transparency, the pressure for drug makers to safely disclose clinical data and documents has never been higher. And as pressure rises, so too does the bar for privacy. You need solutions that both maximize transparency and protect the privacy of trial participants. -
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PHEMI Health DataLab
PHEMI Systems
The PHEMI Trustworthy Health DataLab is a unique, cloud-based, integrated big data management system that allows healthcare organizations to enhance innovation and generate value from healthcare data by simplifying the ingestion and de-identification of data with NSA/military-grade governance, privacy, and security built-in. Conventional products simply lock down data, PHEMI goes further, solving privacy and security challenges and addressing the urgent need to secure, govern, curate, and control access to privacy-sensitive personal healthcare information (PHI). This improves data sharing and collaboration inside and outside of an enterprise—without compromising the privacy of sensitive information or increasing administrative burden. PHEMI Trustworthy Health DataLab can scale to any size of organization, is easy to deploy and manage, connects to hundreds of data sources, and integrates with popular data science and business analysis tools. -
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Privacy1
Privacy1
Privacy1 infrastructure brings transparency, safeguards GDPR | CCPA compliance, builds trust for your business. The solution shields your data centric organizations, lower data leak risks, ensures that no personal data is processed except with the right permission. The service has built in rich features you need to meet data compliance requirements and enforce your organizational data security to the highest level Lawfulness and data transparency: ✓ Consent management; ✓ Data privacy policy management; ✓ Data processing purpose management; ✓ Work flow for handling data subject access requests; ✓ Data processing activities recording | Data mapping; Data security protection: ✓ Data Pseudonymization in services with database; ✓ Data Pseudonymization in pipelines; ✓ Data permission governing; ✓ Data access control work flow (Tech | Legal | Actual data usage); ✓ Data usage separation in micro-services; ✓ Data risk analysis; ✓ Data protection impact assessmenStarting Price: $159 per month -
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Subsalt
Subsalt Inc.
Subsalt is the first platform built to enable the use of anonymous data at enterprise scale. Subsalt's Query Engine dynamically optimizes the tradeoffs between data privacy and fidelity to the source data. Queries return fully-synthetic data that preserves row-level granularity and data formats without disruptive data transformations. Subsalt provides compliance guarantees supported by third-party audits that satisfy HIPAA's Expert Determination standard. Subsalt supports multiple deployment models to meet the unique privacy and security requirements of each client. Subsalt is SOC2-Type 2 and HIPAA compliant. The system has been designed to minimize the risk of exposure or breach of real data. Existing data and ML tools integrate directly with Subsalt's Postgres-compatible SQL interface, making adoption a breeze. -
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Mage Platform
Mage Data
Mage Data™ is the leading solutions provider of data security and data privacy software for global enterprises. Built upon a patented and award-winning solution, the Mage platform enables organizations to stay on top of privacy regulations while ensuring security and privacy of data. Top Swiss Banks, Fortune 10 organizations, Ivy League Universities, and Industry Leaders in the financial and healthcare businesses protect their sensitive data with the Mage platform for Data Privacy and Security. Deploying state-of-the-art privacy enhancing technologies for securing data, Mage Data™ delivers robust data security while ensuring privacy of individuals. Visit the website to explore the company’s solutions. -
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IBM InfoSphere® Optim™ Data Privacy provides extensive capabilities to effectively mask sensitive data across non-production environments, such as development, testing, QA or training. To protect confidential data this single offering provides a variety of transformation techniques that substitute sensitive information with realistic, fully functional masked data. Examples of masking techniques include substrings, arithmetic expressions, random or sequential number generation, date aging, and concatenation. The contextually accurate masking capabilities help masked data retain a similar format to the original information. Apply a range of masking techniques on-demand to transform personally-identifying information and confidential corporate data in applications, databases and reports. Data masking features help you to prevent misuse of information by masking, obfuscating, and privatizing personal information that is disseminated across non-production environments.
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PK Protect
PKWARE
PK Protect is a data protection platform designed to help organizations safeguard sensitive information across diverse environments. It provides robust tools for data discovery, classification, encryption, and monitoring, ensuring that critical data is protected both at rest and in transit. With automated policies and compliance controls, PK Protect enables businesses to meet regulatory requirements like GDPR and HIPAA while minimizing the risk of data breaches. The platform integrates with various systems to provide a unified approach to managing data security across cloud, on-premises, and hybrid environments. By offering real-time visibility and proactive threat detection, PK Protect helps organizations maintain control over their sensitive data and reduce security vulnerabilities. -
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Kodex
Kodex
Privacy engineering is an emerging field that has intersections with data engineering, information security, software development, and privacy law. Its goal is to ensure that personal data is stored and processed in a legally compliant way that respects and protects the privacy of the individuals this data belongs in the best possible way. Security engineering is on one hand a requirement for privacy engineering but also an independent discipline that aims to guarantee the secure processing and storage of sensitive data in general. If your organization processes data that is either sensitive or personal (or both), you need privacy & security engineering. This is especially true if you do your own data engineering or data science. -
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Trūata Calibrate
Trūata
Operationalize your data pipelines with privacy-centric data management software. Trūata Calibrate empowers organizations to make data usable while leveraging privacy as a commercial differentiator. Our frictionless, cloud-native software enables businesses to operationalize privacy-compliant data pipelines at speed, so teams can work with data responsibly and confidently. Powered by intelligent automation, Trūata Calibrate facilitates fast and effective risk measurement and mitigation via a centralized dashboard. The platform provides a smart, standardized solution for managing privacy risks and ensures that data can be effectively transformed for safe use right across your business ecosystem. Access dynamic recommendations for data transformation and view privacy-utility impact simulations before performing forensically targeted de-identification to mitigate risks. Transform data to create privacy-enhanced datasets that can be shared or transferred and used responsibly by teams.Starting Price: $5,000 per month -
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Cloud Compliance
Cloud Compliance
Operationalize privacy compliance and data security on Salesforce with the most comprehensive suite of products. The success of privacy programs requires thorough data inventory and risk assessment. However, most organizations end up overlooking pockets of data and struggle with manual processes and spreadsheets. Our Personal Data Inventory product is designed to automate and streamline DPIA and enterprise data inventory flows. Make it easy for your organization to have an accurate data inventory and clear risk assessment. Most organizations are seeing an increase in privacy right requests. Trying to meet these requests manually is inconsistent, error-prone, and increases the risk of non-compliance. Our Privacy Rights Automation product enables self-service and automates all privacy rights related activities. Mitigate the risk of non-compliance with a standardized and error-free solution. -
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Brighter AI
Brighter AI Technologies
With increasing capabilities of facial recognition technology, public video data collection comes with great risks. brighter AI’s Precision Blur is the most accurate face redaction solution in the world. Deep Natural Anonymization is a unique privacy solution based on generative AI. It creates synthetic face overlays to protect individuals from recognition, while keeping data quality for machine learning. The Selective Redaction user interface allows you to selectively anonymize personal information in videos. In some use cases such as media and law enforcement, not all faces need to be blurred. After the automatic detections, you can (de)select objects individually. Our Analytics Endpoint provides relevant metadata about the original objects such as bounding box locations, facial landmarks and person attributes. The JSON outputs enable you to retrieve relevant information while having compliant, anonymized images or videos. -
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K2View
K2View
At K2View, we believe that every enterprise should be able to leverage its data to become as disruptive and agile as the best companies in its industry. We make this possible through our patented Data Product Platform, which creates and manages a complete and compliant dataset for every business entity – on demand, and in real time. The dataset is always in sync with its underlying sources, adapts to changes in the source structures, and is instantly accessible to any authorized data consumer. Data Product Platform fuels many operational use cases, including customer 360, data masking and tokenization, test data management, data migration, legacy application modernization, data pipelining and more – to deliver business outcomes in less than half the time, and at half the cost, of any other alternative. The platform inherently supports modern data architectures – data mesh, data fabric, and data hub – and deploys in cloud, on-premise, or hybrid environments. -
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Protegrity
Protegrity
Our platform allows businesses to use data—including its application in advanced analytics, machine learning, and AI—to do great things without worrying about putting customers, employees, or intellectual property at risk. The Protegrity Data Protection Platform doesn't just secure data—it simultaneously classifies and discovers data while protecting it. You can't protect what you don't know you have. Our platform first classifies data, allowing users to categorize the type of data that can mostly be in the public domain. With those classifications established, the platform then leverages machine learning algorithms to discover that type of data. Classification and discovery finds the data that needs to be protected. Whether encrypting, tokenizing, or applying privacy methods, the platform secures the data behind the many operational systems that drive the day-to-day functions of business, as well as the analytical systems behind decision-making. -
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HushHush Data Masking
HushHush
Today’s businesses face significant punishment if they do not meet the ever-increasing privacy requirements of both regulators and the public. Vendors need to keep abreast by adding new algorithms to protect sensitive data such as PII and PHI. HushHush stays at the forefront of privacy protection (Patents: US9886593, US20150324607A1, US10339341) with its PII data discovery and anonymization tool workbench (also known as data de-identification, data masking, and obfuscation software). It helps you find your and your customer's sensitive data, classify it, anonymize it, and comply with GDPR, CCPA, HIPAA / HITECH, and GLBA requirements. Use a collection of rule-based atomic add-on anonymization components to configure comprehensive and secure data anonymization solutions. HushHush components are out-of-the box solutions designed to anonymize both direct identifiers (SSN, credit cards, names, addresses, phone numbers, etc.) as well as indirect identifiers, with both fixed algorithms. -
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Teleskope
Teleskope
Teleskope is a modern data protection platform designed to automate data security, privacy, and compliance at enterprise scale. It continuously discovers and catalogs data across cloud, SaaS, structured, and unstructured sources, classifying over 150 entity types such as PII, PHI, PCI, and secrets with high precision and high throughput. Once sensitive data is identified, Teleskope enables automated remediation, such as redaction, masking, encryption, deletion, and access correction, while integrating into developer workflows via its API-first model and supporting deployment as SaaS, managed, or self-hosted. The platform also builds prevention capabilities, embedding into SDLC pipelines to stop sensitive data from entering production systems, support safe AI adoption (without using unchecked sensitive data), handle data subject rights requests (DSARs), and map findings to regulatory standards (GDPR, CPRA, PCI-DSS, ISO, NIST, CIS). -
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Databunker
Databunker
Databunker is a lightning-fast, open-source vault developed in Go for secure storage of sensitive personal records. Protect user records from SQL and GraphQL injections with a simple API. Streamline GDPR, HIPAA, ISO 27001, and SOC2 compliance. Databunker is a special secure storage system designed to protect: - Personally Identifiable Information (PII) - Protected Health Information (PHI) - Payment Card Industry (PCI) data - Know Your Customer (KYC) recordsStarting Price: Free -
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Benerator
Benerator
Describe your data model on an abstract level in XML. Involve your business people as no developer skills are necessary. Use a wide range of function libraries to fake realistic data. Write your own extensions in Javascript or Java. Integrate your data processes into Gitlab CI or Jenkins. Generate, anonymize, and migrate with Benerator’s model-driven data toolkit. Define processes to anonymize or pseudonymize data in plain XML on an abstract level without the need for developer skills. Stay GDPR compliant with your data and protect the privacy of your customers. Mask and obfuscate sensitive data for BI, test, development, or training purposes. Combine data from various sources (subsetting) and keep the data integrity. Migrate and transform your data in multisystem landscapes. Reuse your testing data models to migrate production environments. Keep your data consistent and reliable in a microsystem architecture. -
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Gretel
Gretel.ai
Privacy engineering tools delivered to you as APIs. Synthesize and transform data in minutes. Build trust with your users and community. Gretel’s APIs grant immediate access to creating anonymized or synthetic datasets so you can work safely with data while preserving privacy. Keeping the pace with development velocity requires faster access to data. Gretel is accelerating access to data with data privacy tools that bypass blockers and fuel Machine Learning and AI applications. Keep your data contained by running Gretel containers in your own environment or scale out workloads to the cloud in seconds with Gretel Cloud runners. Using our cloud GPUs makes it radically more effortless for developers to train and generate synthetic data. Scale workloads automatically with no infrastructure to set up and manage. Invite team members to collaborate on cloud projects and share data across teams. -
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Syntheticus
Syntheticus
Syntheticus® empowers data exchange and overcomes limitations in data access, scarcity, and bias - at scale. With our synthetic data platform, you generate high-quality and compliant data samples tailored to your business needs and analytics goals. With synthetic data, you easily tap into a wide range of high-quality sources that are not always available in the real world. By accessing high-quality, consistent data, you conduct more reliable research, leading to better products, services, and business decisions. With fast, reliable data sources at your fingertips, you accelerate product development cycles and improve time-to-market. Synthetic data is designed to be private and secure by default, protecting sensitive data and maintaining compliance with privacy laws and regulations. -
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DataCebo Synthetic Data Vault (SDV)
DataCebo
The Synthetic Data Vault (SDV) is a Python library designed to be your one-stop shop for creating tabular synthetic data. The SDV uses a variety of machine learning algorithms to learn patterns from your real data and emulate them in synthetic data. The SDV offers multiple models, ranging from classical statistical methods (GaussianCopula) to deep learning methods (CTGAN). Generate data for single tables, multiple connected tables, or sequential tables. Compare the synthetic data to the real data against a variety of measures. Diagnose problems and generate a quality report to get more insights. Control data processing to improve the quality of synthetic data, choose from different types of anonymization, and define business rules in the form of logical constraints. Use synthetic data in place of real data for added protection, or use it in addition to your real data as an enhancement. The SDV is an overall ecosystem for synthetic data models, benchmarks, and metrics.Starting Price: Free -
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MOSTLY AI
MOSTLY AI
As physical customer interactions shift into digital, we can no longer rely on real-life conversations. Customers express their intents, share their needs through data. Understanding customers and testing our assumptions about them also happens through data. And privacy regulations such as GDPR and CCPA make a deep understanding even harder. The MOSTLY AI synthetic data platform bridges this ever-growing gap in customer understanding. A reliable, high-quality synthetic data generator can serve businesses in various use cases. Providing privacy-safe data alternatives is just the beginning of the story. In terms of versatility, MOSTLY AI's synthetic data platform goes further than any other synthetic data generator. MOSTLY AI's versatility and use case flexibility make it a must-have AI tool and a game-changing solution for software development and testing. From AI training to explainability, bias mitigation and governance to realistic test data with subsetting, referential integrity. -
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DataGen
DataGen
DataGen is a leading AI platform specializing in synthetic data generation and custom generative AI models for machine learning projects. Their flagship product, SynthEngyne, supports multi-format data generation including text, images, tabular, and time-series data, ensuring privacy-compliant, high-quality training datasets. The platform offers scalable, real-time processing and advanced quality controls like deduplication to maintain dataset fidelity. DataGen also provides professional AI development services such as model deployment, fine-tuning, synthetic data consulting, and intelligent automation systems. With flexible pricing plans ranging from free tiers for individuals to custom enterprise solutions, DataGen caters to a wide range of users. Their solutions serve diverse industries including healthcare, finance, automotive, and retail. -
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Celantur
Celantur
Automatically anonymize faces, license plates, bodies, and vehicles, easy to use and integrate on all platforms. Solve privacy challenges for a wide range of commercial and industrial use cases. Global industry leaders put trust in our products and expertise. We are solving anonymization challenges, so you can focus on your core business. Our team is on your side, helping you on your privacy journey. Data Protection is our core business, and that's why we have strong measures in place to comply with the GDPR and other data protection laws. You can use our cloud service, where all the processing is done on our infrastructure. Or use our Docker container to deploy it on-premise or in your private/public cloud environment. We charge a fee per image or video hour, and you can create a demo account and test it for free. Blur faces, license plates, persons and vehicles on images in seconds with a simple REST call. -
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Mimic
Facteus
Advanced technology and services to safely transform and enhance sensitive data into actionable insights, help drive innovation, and open new revenue streams. Using the Mimic synthetic data engine, companies can safely synthesize their data assets, protecting consumer privacy information from being exposed, while still maintaining the statistical relevancy of the data. The synthetic data can then be used for internal initiatives like analytics, machine learning and AI, marketing and segmentation activities, and new revenue streams through external data monetization. Mimic enables you to safely move statistically-relevant synthetic data to the cloud ecosystem of your choice to get the most out of your data. Analytics, insights, product development, testing, and third-party data sharing can all be done in the cloud with the enhanced synthetic data, which has been certified to be compliant with regulatory and privacy laws. -
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Symage
Symage
Symage is a synthetic data platform that generates custom, photorealistic image datasets with automated pixel-perfect labeling to support training and improving AI and computer vision models; using physics-based rendering and simulation rather than generative AI, it produces high-fidelity synthetic images that mirror real-world conditions and handle diverse scenarios, lighting, camera angles, object motion, and edge cases with controlled precision, which helps eliminate data bias, reduce manual labeling, and dramatically cut data preparation time by up to 90%. Designed to give teams the right data for model training rather than relying on limited real datasets, Symage lets users tailor environments and variables to match specific use cases, ensuring datasets are balanced, scalable, and accurately labeled at every pixel. It is built on decades of expertise in robotics, AI, machine learning, and simulation, offering a way to overcome data scarcity and boost model accuracy. -
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syntheticAIdata
syntheticAIdata
syntheticAIdata is your partner in creating synthetic data that enables you to craft diverse datasets effortlessly and at scale. Utilizing our solution doesn’t just mean significant cost reductions; it means ensuring privacy, regulatory compliance, and expediting your AI products' journey to the market. Let syntheticAIdata be the catalyst that transforms your AI aspirations into achievements. Synthetic data is generated on a large scale and can cover many scenarios when real data is insufficient. A variety of annotations can be automatically generated. This greatly shortens the time for data collection and tagging. Minimize costs for data collection and tagging by generating synthetic data on a large scale. Our user-friendly and no-code solution empowers even those without technical expertise to easily generate synthetic data. With seamless one-click integration with leading cloud platforms, our solution is the most convenient to use on the market. -
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AI Verse
AI Verse
When real-life data capture is challenging, we generate diverse, fully labeled image datasets. Our procedural technology ensures the highest quality, unbiased, labeled synthetic datasets that will improve your computer vision model’s accuracy. AI Verse empowers users with full control over scene parameters, ensuring you can fine-tune the environments for unlimited image generation, giving you an edge in the competitive landscape of computer vision development. -
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Aindo
Aindo
Accelerate time-consuming data processing steps, including structuring, labeling, and preprocessing. Manage your data in one central, easy-to-integrate platform. Increase data accessibility rapidly through privacy-protecting synthetic data and user-friendly exchange platforms. The Aindo synthetic data platform allows you to securely exchange data across departments, with external service providers, partners, and the artificial intelligence community. Explore new synergies through synthetic data exchange and collaboration. Acquire missing data openly and securely. Provide comfort and trust to your clients and stakeholders. The Aindo synthetic data platform removes data inaccuracies and implicit bias for fair and complete insights. Augment information to make databases robust to special events. Balance datasets that misrepresent true populations for a fair and accurate overall depiction. Fill in data gaps in a sound and exact manner. -
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PK Privacy
PKWARE
Organizations are required to keep up with the ever-changing privacy landscape, and protect personally identifiable information they interact with. PK Privacy gives organizations the power to automate data discovery and reporting mechanisms to assist with reducing the operational complications of privacy legislation. Automate the DSAR response process to meet requirements faster and on budget. Create rules that will delete or redact sensitive data as soon as it is found. Enable pseudonymization, anonymization, and de-identification of private personal data. Find data that can and/or should legally be archived or deleted due to age or lack of use. Detect and confirm breaches with monitoring, then accurately estimate and report on the breach’s impact. Continuously monitor endpoints, servers, and enterprise solutions for privacy data. Organizations are required to keep up with the ever-changing privacy landscape and protect personally identifiable information they interact with. -
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GenRocket
GenRocket
Enterprise synthetic test data solutions. In order to generate test data that accurately reflects the structure of your application or database, it must be easy to model and maintain each test data project as changes to the data model occur throughout the lifecycle of the application. Maintain referential integrity of parent/child/sibling relationships across the data domains within an application database or across multiple databases used by multiple applications. Ensure the consistency and integrity of synthetic data attributes across applications, data sources and targets. For example, a customer name must always match the same customer ID across multiple transactions simulated by real-time synthetic data generation. Customers want to quickly and accurately create their data model as a test data project. GenRocket offers 10 methods for data model setup. XTS, DDL, Scratchpad, Presets, XSD, CSV, YAML, JSON, Spark Schema, Salesforce. -
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Randtronics DPM easyCipher
Randtronics
Randronics DPM easyCipher providers Transparent Data Encryption (TDE) lock-box protection to files, folders, and databases. Protection is transparent as contents are automatically decrypted for authorized users. Like a lock-box, TDE-protected objects are either locked or unlocked. DPM easyCipher is a centrally managed, policy-based encryption management solution that allows an organization to standardize its encryption protection by defining and managing encryption policies and applying these policies to any server or laptop where a DPM easyCipher agent has been installed. DPM easyCipher protects all files and folders on servers or laptops. Server environments protected by DPM easyCipher include database servers, web/app servers, and file servers. DPM easyCipher can either extend or replace database-native TDE solutions provided by database vendors to secure their own DB products. Use easyCipher to protect information residing outside of the database. -
46
Synthesis AI
Synthesis AI
A synthetic data platform for ML engineers to enable the development of more capable AI models. Simple APIs provide on-demand generation of perfectly-labeled, diverse, and photoreal images. Highly-scalable cloud-based generation platform delivers millions of perfectly labeled images. On-demand data enables new data-centric approaches to develop more performant models. An expanded set of pixel-perfect labels including segmentation maps, dense 2D/3D landmarks, depth maps, surface normals, and much more. Rapidly design, test, and refine your products before building hardware. Prototype different imaging modalities, camera placements, and lens types to optimize your system. Reduce bias in your models associated with misbalanced data sets while preserving privacy. Ensure equal representation across identities, facial attributes, pose, camera, lighting, and much more. We have worked with world-class customers across many use cases. -
47
YData
YData
Adopting data-centric AI has never been easier with automated data quality profiling and synthetic data generation. We help data scientists to unlock data's full potential. YData Fabric empowers users to easily understand and manage data assets, synthetic data for fast data access, and pipelines for iterative and scalable flows. Better data, and more reliable models delivered at scale. Automate data profiling for simple and fast exploratory data analysis. Upload and connect to your datasets through an easily configurable interface. Generate synthetic data that mimics the statistical properties and behavior of the real data. Protect your sensitive data, augment your datasets, and improve the efficiency of your models by replacing real data or enriching it with synthetic data. Refine and improve processes with pipelines, consume the data, clean it, transform your data, and work its quality to boost machine learning models' performance. -
48
Rendered.ai
Rendered.ai
Overcome challenges in acquiring data for machine learning and AI systems training. Rendered.ai is a PaaS designed for data scientists, engineers, and developers. Generate synthetic datasets for ML/AI training and validation. Experiment with sensor models, scene content, and post-processing effects. Characterize and catalog real and synthetic datasets. Download or move data to your own cloud repositories for processing and training. Power innovation and increase productivity with synthetic data as a capability. Build custom pipelines to model diverse sensors and computer vision inputs. Start quickly with free, customizable Python sample code to model SAR, RGB satellite imagery, and more sensor types. Experiment and iterate with flexible licensing that enables nearly unlimited content generation. Create labeled content rapidly in a hosted, high-performance computing environment. Enable collaboration between data scientists and data engineers with a no-code configuration experience. -
49
Sixpack
PumpITup
Sixpack is a data management platform designed to streamline synthetic data for testing purposes. Unlike traditional test data generation, Sixpack provides an endless supply of synthetic data, helping testers and automated tests avoid conflicts and resource bottlenecks. It focuses on flexibility by enabling allocation, pooling, and instant data generation while keeping data quality high and privacy intact. Key features include easy setup, seamless API integration, and the ability to support complex test environments. Sixpack integrates directly with QA processes, so teams save time on managing data dependencies, minimize data overlap, and prevent test interference. Its dashboard offers a clear view of active data sets, and testers can allocate or pool data according to project needs.Starting Price: $0 -
50
Rockfish Data
Rockfish Data
Rockfish Data is the industry's first outcome-centric synthetic data generation platform, unlocking the true value of operational data. Rockfish helps enterprises take advantage of siloed data to train ML/AI workflows, produce compelling datasets for product demos, and more. The platform intelligently adapts to and optimizes diverse datasets, seamlessly adjusting to various data types, sources, and structures for maximum efficiency. It focuses on delivering specific, measurable results that drive tangible business value, with a purpose-built architecture emphasizing robust security measures to ensure data integrity and privacy. By operationalizing synthetic data, Rockfish enables organizations to overcome data silos, enhance machine learning and artificial intelligence workflows, and generate high-quality datasets for various applications.
