Best Synthetic Data Tools with Unstructured Data Capabilities

How Many Synthetic Data Tools Products Does G2 Track?

Total Products under this Category: 123

Category Stats (Oct 2026)

  • Average Rating: 4.37/5 (↓0.01 vs Sep 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: IBM watsonx.ai (+0.05%) - Among all products in this category, IBM watsonx.ai recorded the largest rating increase compared to last month

Last updated: October 26, 2026

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G2 Grid® for Synthetic Data Tools

G2 Grid® for Synthetic Data Tools plotting products by satisfaction and market presence

Highlighted products: IBM watsonx.ai, Tonic.ai, Tumult Analytics, YData, CA Test Data Manager, Gretel.ai, Syntheticus.ai | Synthetic Data Generator, and KopiKat.

Underlying data: [Grid® JSON](https://www.g2.com/categories/synthetic-data/grids.json?focus%5B%5D=ibm-watsonx-ai&focus%5B%5D=tonic-ai&focus%5B%5D=tumult-analytics&focus%5B%5D=ydata&focus%5B%5D=ca-test-data-manager&focus%5B%5D=gretel-ai&focus%5B%5D=syntheticus-ai-synthetic-data-generator&focus%5B%5D=kopikat)

Tonic.ai

Tonic.ai frees developers to build with safe, high-fidelity synthetic data to accelerate software and AI innovation while protecting data privacy. Through industry-leading solutions for data synthesis, de-identification, and subsetting, our products enable on-demand access to realistic structured, semi-structured, and unstructured data for software development, testing, and AI model training. The product suite includes: - Tonic Fabricate for AI-powered synthetic data from scratch - Tonic Structural for modern test data management - Tonic Textual for unstructured data redaction and synthesis. Unblock innovation, eliminate collisions in testing, accelerate your engineering velocity, and ship better products, all while safeguarding data privacy. Founded in 2018, with offices in San Francisco, Atlanta, New York, and London, the company is pioneering enterprise tools for data synthesis and de-identification in pursuit of its mission to unblock innovation with usable data. Thousands of developers use data generated with the Tonic.ai platform on a daily basis to build products and train models faster in industries as wide ranging as healthcare, financial services, insurance, logistics, edtech, and e-commerce. Working with customers like Comcast, eBay, UnitedHealthcare, and Fidelity Investments, Tonic.ai builds developer solutions to advance its goals of advocating for the privacy of individuals while enabling companies to do their best work. Be free to build with high-fidelity synthetic data for software and AI development.

Average Rating: 4.2/5.0

Total Reviews: 38

Who Is the Company Behind Tonic.ai?

  • Seller: Tonic.ai
  • Year Founded: 2018
  • HQ Location: San Francisco, California
  • Twitter: @tonicfakedata
    698 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    104 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Financial Services
  • Company Size: 45% Medium, 32% Small

What Are Recent G2 Reviews of Tonic.ai?

Tumult Analytics

Tumult Analytics is an advanced, open-source Python library designed to facilitate the deployment of differential privacy in data analysis. It enables organizations to generate statistical summaries from sensitive datasets while ensuring individual privacy is maintained. Trusted by institutions such as the U.S. Census Bureau, the Wikimedia Foundation, and the Internal Revenue Service, Tumult Analytics offers a robust and scalable solution for privacy-preserving data analysis. Key Features and Functionality: - Robust and Production-Ready: Developed and maintained by a team of differential privacy experts, Tumult Analytics is built for production environments and has been implemented by major institutions. - Scalable: Operating on Apache Spark, it efficiently processes datasets containing billions of rows, making it suitable for large-scale data analysis tasks. - User-Friendly APIs: The platform provides Python APIs that are familiar to users of Pandas and PySpark, facilitating easy adoption and integration into existing workflows. - Comprehensive Functionality: It supports a wide array of aggregation functions, data transformation operators, and privacy definitions, allowing for flexible and powerful data analysis under multiple privacy models. Primary Value and Problem Solved: Tumult Analytics addresses the critical challenge of extracting valuable insights from sensitive data without compromising individual privacy. By implementing differential privacy, it ensures that the risk of re-identification is minimized, enabling organizations to share and analyze data responsibly. This capability is particularly vital for sectors handling sensitive information, such as public institutions, healthcare, and finance, where maintaining data privacy is both a regulatory requirement and an ethical obligation.

Average Rating: 4.4/5.0

Total Reviews: 38

Who Is the Company Behind Tumult Analytics?

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 50% Small, 32% Medium

What Are Recent G2 Reviews of Tumult Analytics?

Syntheticus.ai | Synthetic Data Generator

Syntheticus® is a technology company founded in 2021 and headquartered in Zürich, Switzerland. We are at the forefront of innovation and research in Privacy-Enhancing Technologies, working in collaboration with leading Swiss academic institutions. Backed by prominent investors, we are dedicated to empowering responsible business growth and promoting transparency, trust, and innovation in the data economy. Our vision centers around creating a new era of data exchange that benefits everyone. We believe in data transparency, inclusivity, and accessibility, while maintaining a strong commitment to data privacy and security. With the Syntheticus® platform, we are leading the charge in revolutionizing how businesses utilize and share data in a privacy-preserving way. The Syntheticus® platform seamlessly bridges the gap between data-driven insights and data availability, providing effortless access to high-quality synthetic datasets. Powered by cutting-edge Privacy-Enhancing Technologies, we prioritize data privacy, security, and compliance, ensuring responsible data usage. Trust in the accuracy and quality of the generated datasets with real-time validation tools and features. Safeguard sensitive information and personally identifiable data while leveraging safe, realistic alternatives to enhance privacy and mitigate compliance risks. Designed for seamless integration into sensitive work environments, our platform supports various data types, including structured tabular data, relational databases, geospatial data, time series, open text data, and more. You can also choose from Cloud, On-Premises, or EDGE infrastructure options, catering to your specific data management needs. As a proud member of the "Swiss Made Software" Label, our enterprise-ready framework is hosted on secure Google Cloud servers, providing robust data protection and reliability.

Average Rating: 4.3/5.0

Total Reviews: 11

Who Is the Company Behind Syntheticus.ai | Synthetic Data Generator?

Who Uses This Product?

  • Company Size: 55% Small, 36% Medium

What Are Recent G2 Reviews of Syntheticus.ai | Synthetic Data Generator?

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Gretel.ai

Our mission is to enable developers to safely and quickly experiment, collaborate, and build with data.

Average Rating: 4.4/5.0

Total Reviews: 13

Who Is the Company Behind Gretel.ai?

  • Seller: Gretel.ai
  • Year Founded: 2020
  • HQ Location: Palo Alto, US
  • LinkedIn® Page: www.linkedin.com
    42 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 77% Medium, 23% Small

What Are Recent G2 Reviews of Gretel.ai?

KopiKat

KopiKat's Sportforma is a comprehensive dataset designed to enhance the development and evaluation of computer vision models in sports analytics. It offers a diverse collection of high-quality images and videos capturing various sports scenarios, enabling researchers and developers to train and test algorithms for tasks such as player detection, action recognition, and event classification. Key Features and Functionality: - Diverse Sports Coverage: Includes a wide range of sports, providing a broad spectrum of scenarios for model training. - High-Quality Visual Data: Offers high-resolution images and videos to ensure detailed analysis and accurate model development. - Annotated Data: Comes with comprehensive annotations, facilitating supervised learning and precise evaluation of models. - Scalable Dataset: Suitable for both small-scale experiments and large-scale model training, accommodating various research needs. Primary Value and User Solutions: Sportforma addresses the challenge of obtaining diverse and annotated sports data for computer vision applications. By providing a rich dataset, it enables users to develop robust models capable of understanding and interpreting complex sports scenes. This is particularly beneficial for applications in sports analytics, performance monitoring, and automated content generation, where accurate visual analysis is crucial.

Average Rating: 4.5/5.0

Total Reviews: 13

Who Is the Company Behind KopiKat?

  • Seller: OpenCV.ai
  • Year Founded: 2023
  • HQ Location: Palo Alto, US
  • LinkedIn® Page: www.linkedin.com
    11 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 69% Small, 23% Medium

What Are Recent G2 Reviews of KopiKat?

Synthesis AI

Synthesis AI is a pioneering synthetic data technology which builds more capable AI

Average Rating: 4.2/5.0

Total Reviews: 11

Who Is the Company Behind Synthesis AI?

  • Seller: Synthesis
  • Year Founded: 2019
  • HQ Location: San Francisco, CA
  • Twitter: @SynthesisAI_
    645 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    15 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 73% Small, 27% Medium

What Are Recent G2 Reviews of Synthesis AI?

GenRocket

GenRocket is the technology leader in synthetic data generation for quality engineering and machine learning use cases. We call it Synthetic Test Data Automation (TDA) and it's the next generation of Test Data Management (TDM). GenRocket provides a comprehensive self-service platform to more than 50 of the world's largest organizations who demand superior quality and efficiency in their quality engineering and data science operations. KEY FEATURES SPEED: Data generated at 10,000 rows/second and one billion rows in under two hours QUALITY: Any volume and variety of data (unique, negative, conditioned, permutations) REUSABILITY: Test Data Cases and Test Data Rules can be easily reused SELF-SERVICE: Model, design and deploy test data on-demand into CI/CD Pipelines SECURITY: Secure platform never uses or stores sensitive customer data VERSATILITY: 101+ data formats e.g. SQL, XML, JSON, EDI, PDF, Kafka, Parquet, AWS S3 VALUE FOR MONEY: Attractive license and implementation cost to maximizes value PROVEN BENEFITS ACCELERATION: 100 times faster than creating data in spreadsheets or via scripts COVERAGE: Improve test coverage from less than 50% to more than 90% to maximize quality VALUE: Reduce TCO by 90% when compared to traditional Test Data Management

Average Rating: 4.6/5.0

Total Reviews: 9

Who Is the Company Behind GenRocket?

  • Seller: GenRocket
  • Year Founded: 2012
  • HQ Location: Ojai, CA
  • Twitter: @GenRocketINC
    370 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    33 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 73% Large, 27% Small

What Are Recent G2 Reviews of GenRocket?

What Are G2 Users Discussing About GenRocket?

AI vision

Deep Vision Data specializes in the creation of synthetic training data for supervised and unsupervised training of machine learning systems such as deep neural networks, and also the development of XR environments as reinforcement and imitation learning platforms.

Average Rating: 4.1/5.0

Total Reviews: 7

Who Is the Company Behind AI vision?

Who Uses This Product?

  • Company Size: 38% Small, 38% Medium

What Are Recent G2 Reviews of AI vision?

TESTINT

TestINT (testINT.ai)  What is TestINT? TestINT is a “Data Augmentation and Testing” platform to make systems that utilize “Deep Learning” techniques more reliable. TestINT provides a compact platform for image augmentation & AI testing to help identify AI’s weaknesses. TestINT is specialized for computer vision problems, specifically for street-view and aerial images.  What TestINT does… By applying basic and advanced transformations on your labeled dataset that you use for training and testing, you can replicate your dataset to include situations that are difficult/highly costly to obtain in real life. Thus, you will have a larger, richer and differentiated data set that you can use for testing. Augmentation Features of TestINT: The image augmentation feature of TestINT enables diversifying test data sets through a broad range of image augmentation options in a matter of minutes.  Although new features are continually added, some of the highlights of TestINT are: * TestINT generates new data by applying weather transformations (adding rain, snow, fog),  * Day-to-night image transformation,  * Object placement (car and pedestrian),  * Basic input corruptions (rotation, blurring, contrast, brightness), and  * Adversarial attacks.  TestINT creates challenging conditions synthetically and helps users save time, effort, and money.  How does TestINT support testing? TESTINT’s testing ability enables creating test scenarios by choosing from a variety of model performance and test adequacy metrics. In the end, TestINT prepares insightful test reports for users to identify potential risks of their models. Other Features? Our platform is the first no-code platform that proposes a thorough testing solution for AI-based vision models. TestINT includes 20 augmentation methods for aerial and street-view camera images. TestINT is the only platform with such a broad catalog of image augmentation techniques.  Why should Deep Learning System Developers use TestINT? TestINT lets Deep Learning systems’ developers focus on their core Use Case and model, letting  TestINT provide the dataset to handle different situations. With TestINT, end-products reach the customer better tested, with corner cases handled more comprehensively and more reliably.

Average Rating: 5.0/5.0

Total Reviews: 2

Who Is the Company Behind TESTINT?

Who Uses This Product?

  • Company Size: 50% Large, 50% Small

What Are Recent G2 Reviews of TESTINT?

Anyverse

With over 25 years of heritage in 𝗽𝗵𝘆𝘀𝗶𝗰𝘀-𝗯𝗮𝘀𝗲𝗱 𝘀𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻 and a 2008 Academy Technical Achievement Award, Anyverse is a premier 𝗵𝗶𝗴𝗵-𝗳𝗶𝗱𝗲𝗹𝗶𝘁𝘆 𝘀𝘆𝗻𝘁𝗵𝗲𝘁𝗶𝗰 𝗱𝗮𝘁𝗮 generation solution and validation tool for 𝗽𝗲𝗿𝗰𝗲𝗽𝘁𝗶𝗼𝗻 𝗔𝗜 𝗮𝗻𝗱 𝗰𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝘃𝗶𝘀𝗶𝗼𝗻 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀. Headquartered in Spain and supporting partners worldwide. While Anyverse remains a premier partner for the Automotive market, specializing in 𝗜𝗻-𝗖𝗮𝗯𝗶𝗻 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝗮𝗻𝗱 𝗔𝗗𝗔𝗦, its reach has expanded significantly. Intended for computer vision and machine learning teams, the technology is now increasingly adopted across 𝗗𝗲𝗳𝗲𝗻𝘀𝗲, 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀, 𝗮𝗻𝗱 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝘆 𝟰.𝟬. At the core of the platform lies the Anyverse Spectral Engine, a 𝗽𝗿𝗼𝗽𝗿𝗶𝗲𝘁𝗮𝗿𝘆 𝗽𝘂𝗿𝗲 𝘀𝗽𝗲𝗰𝘁𝗿𝗮𝗹 𝗽𝗮𝘁𝗵-𝘁𝗿𝗮𝗰𝗶𝗻𝗴 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆. Unlike standard rendering, this engine calculates the precise spectral radiance of light beams, ensuring unmatched physical realism. This powers Anyverse’s 𝗽𝗵𝘆𝘀𝗶𝗰𝘀-𝗯𝗮𝘀𝗲𝗱 𝘀𝗲𝗻𝘀𝗼𝗿 𝘀𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻, 𝘄𝗵𝗶𝗰𝗵 𝗺𝗼𝗱𝗲𝗹𝘀 𝗰𝗼𝗺𝗽𝗹𝗲𝘅 𝗼𝗽𝘁𝗶𝗰𝗮𝗹 𝘀𝗲𝘁𝘂𝗽𝘀 𝗳𝗼𝗿 𝗥𝗚𝗕-𝗜𝗥, 𝗟𝗶𝗗𝗔𝗥, 𝗮𝗻𝗱 𝗥𝗮𝗱𝗮𝗿 𝘄𝗶𝘁𝗵 𝗵𝗶𝗴𝗵 𝗳𝗶𝗱𝗲𝗹𝗶𝘁𝘆—significantly minimizing the sim-to-real gap. The platform allows for fast, automated scene generation using distribution-based domain randomization—minimizing domain gaps by creating statistically balanced datasets that cover targeted scenarios and complex environmental conditions (such as heavy occlusions). Anyverse ensures seamless integration with ML pipelines by procedurally generating ground truth data customized to your specific taxonomy and ontology. Users can produce comprehensive datasets where each sequence includes metadata and up to 14 on-demand channels (such as label, instance, and depth) to match specific system and project needs. This platform serves as the foundation that powers Anyverse's end-user applications for AI-driven use cases. Supported by a flexible, scalable architecture and independent core technology, it enables the seamless delivery of tailored solutions across multiple markets. For Anyverse’s users, this translates into: - 𝗧𝗮𝗶𝗹𝗼𝗿𝗲𝗱 𝗗𝗮𝘁𝗮 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀: End-user applications are aligned to the specific computer vision AI needs and goals of each market. - 𝗙𝗮𝘀𝘁𝗲𝗿 𝗚𝗼-𝘁𝗼-𝗠𝗮𝗿𝗸𝗲𝘁: Drastically minimizes physical testing to improve cost efficiency and development speed. - 𝗨𝗻𝗽𝗿𝗲𝗰𝗲𝗱𝗲𝗻𝘁𝗲𝗱 𝗥𝗲𝗮𝗹𝗶𝘀𝗺: Fuses Anyverse’s physics-based engine with next-generation generative AI to deliver sensor-level accuracy. - 𝗘𝘅𝗽𝗲𝗿𝘁 𝗦𝘂𝗽𝗽𝗼𝗿𝘁: Partners are guided by a seasoned team of data experts with deep experience across global regulations and assessment bodies.

Average Rating: 4.0/5.0

Total Reviews: 1

Who Is the Company Behind Anyverse?

  • Seller: Anyverse
  • Year Founded: 2018
  • HQ Location: Madrid, ES
  • Twitter: @AnyverseAI
    146 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    22 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Medium

What Are Recent G2 Reviews of Anyverse?

CVEDIA

CVEDIA is a leader in AI‑powered video analytics and computer vision solutions that turn raw video into actionable intelligence for security, operations, and analytics applications. Unlike many vendors that rely on off‑the‑shelf models, CVEDIA controls the full AI pipeline, from synthetic data generation and model training to deployment and continuous improvement, enabling high accuracy and robust performance even in real‑world conditions where traditional approaches often fail. At the core of CVEDIA’s technology is CVEDIA‑RT, a modular, cross‑platform AI inference engine designed for production deployment across edge devices, servers, and cloud environments. It supports a wide range of use cases including intrusion and perimeter security, object counting, crowd estimation, anomaly detection, traffic flow analysis, and more, with low false positives and real‑time responsiveness that organizations rely on. One of the key differentiators for CVEDIA is its use of proprietary synthetic data, which eliminates the traditional bottleneck of collecting and labeling real‑world datasets. Synthetic data allows the company to generate edge‑case scenarios that are difficult or impossible to capture in reality, resulting in AI models that generalize better, deploy faster, and adapt more reliably across environments. CVEDIA’s technology is hardware‑agnostic and scalable, optimized for everything from low‑power edge devices to enterprise GPU and VPU platforms. Native integrations include plugins for leading video management systems such as Milestone XProtect and Nx Witness, allowing organizations to augment their existing surveillance infrastructure with advanced analytics without requiring costly hardware upgrades. In addition to software solutions, CVEDIA offers turnkey appliances like the CVEDIA AI HUB‑8, a pre‑configured smart camera hub that combines VMS and AI analytics in one box. This appliance supports real‑time detection and alerting for people, vehicles, and other objects with no cloud dependency and no subscription fees, making it ideal for small‑to‑medium deployments where simplicity and cost efficiency matter. The company’s solutions are deployed across a broad spectrum of industries, including physical security, smart cities, transportation, defense, and enterprise environments. CVEDIA’s performance‑proven analytics are especially valued where reliability and accuracy are critical, such as in perimeter breach detection or large‑scale monitoring operations. CVEDIA’s commitment to integration and performance has also led to strategic partnerships with industry leaders in AI hardware and edge computing. Collaborations with companies like Blaize and DeepX have extended the reach of CVEDIA’s analytics to optimized inference platforms, making advanced video intelligence more accessible and cost‑effective at the edge. Beyond technology, customers appreciate CVEDIA’s deployment simplicity and flexibility. Solutions often install and configure in minutes rather than months, and analytics can run on existing camera infrastructure, significantly reducing total cost of ownership. Licensing options are designed to be customer‑friendly, with both subscription and perpetual models available to suit different deployment strategies. Headquartered in Singapore, with a global presence and partnerships spanning hardware OEMs, systems integrators, and AI platform vendors, CVEDIA continues to push the frontier of video analytics, delivering real‑time intelligence that enhances security, drives operational insights, and unlocks new value from visual data.

Average Rating: 4.0/5.0

Total Reviews: 3

Who Is the Company Behind CVEDIA?

  • Seller: CVEDIA
  • Year Founded: 2016
  • HQ Location: Singapore, SG
  • LinkedIn® Page: www.linkedin.com
    21 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Medium

What Do G2 Reviewers Say About CVEDIA?

AI-generated summary from verified user reviews

Pros
  • Users find CVEDIA's AI technology invaluable for quickly developing effective computer vision algorithms with limited real-world data.
Cons
  • Users find the lack of customization in CVEDIA limiting, restricting ability to tailor algorithms to specific needs.
  • Users find the limited customization in CVEDIA restricts their ability to tailor algorithms effectively for their needs.

What Are Recent G2 Reviews of CVEDIA?

DataGen

DataGen is creating Simulated Data solutions that are scalable, bias-free, and automatically annotated. We use hyper-photorealistic imagery and algorithms to generate high variance datasets that reflect the diversity of the human population.

Average Rating: 4.5/5.0

Total Reviews: 1

Who Is the Company Behind DataGen?

  • Seller: DataGen
  • Year Founded: 2018
  • HQ Location: Tel Aviv, IL
  • LinkedIn® Page: www.linkedin.com
    157 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Medium, 50% Large

What Are Recent G2 Reviews of DataGen?

LexSet

To enable better computer vision development, LexSet has created TDaaS (Training Data as a Service), using 3D content to create photo-realistic synthetic data to train Vision AI models. The approach allows users to generate limitless amounts of training data on-demand; customizing the camera type, lighting conditions, occlusions, and materials in a training set purpose generated for each application. TDaaS has been specifically proven in making better AI vision systems for robotic object recognition and navigation, without needing photos in the training set.

Average Rating: 3.5/5.0

Total Reviews: 1

Who Is the Company Behind LexSet?

  • Seller: LexSet
  • Year Founded: 2018
  • HQ Location: Brooklyn , US
  • LinkedIn® Page: www.linkedin.com
    12 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

Synthesized SDK

PRODUCTION-FAITHFUL TEST DATA FOR EVERY AGENT, MIGRATION AND TEST. The Synthesized platform is an AI-intelligent test data management (TDM) solution that unifies test data generation and lifecycle operations across SAP and non-SAP systems. It helps teams prepare production-faithful data for continuous testing, without the burden of manual data preparation. WHAT IS SYNTHESIZED? The Synthesized platform is an AI-native test data management platform for SAP, enterprise applications and AI-driven testing. It is the only end-to-end TDM platform that unifies SAP and non-SAP test data generation and core test data operations in one enterprise-wide solution. Teams can mask sensitive data, create consistent subsets and generate the records production does not contain. Data stays connected across applications, supporting reliable testing of complete business processes rather than isolated tables. The platform combines generation, copying, time slicing, masking, subsetting and provisioning. Scheduled and automated refreshes deliver data into CI/CD pipelines, test automation and agent evaluations. UNIFIED TDM: SAP & NON-SAP COMPLIANT DATA Non-native SAP TDM struggles with complex modules, expensive full-copy refreshes, and stalled automation. Synthesized is built differently. AI-native, not retrofitted Built for AI-ready enterprises and Agentic QA. ML-driven test data generation and AI-powered schema discovery are core to the platform, not add-ons. SAP-native intelligence Purpose-built SAP HANA / S/4HANA integration understands module boundaries, virtual foreign keys, and business logic, where generic TDM tools break. One platform for SAP + non-SAP Uniquely unifies SAP and non-SAP TDM in a single control plane, so end-to-end flows across S/4HANA, Ariba, and Salesforce stay consistent. Governed & compliant by default Policy-driven privacy controls aligned to GDPR and SOX remove PII while retaining realism across every non-production environment. No vendor lock-in Private cloud, on-prem, or hybrid deployment with a minimal footprint adapts to your enterprise architecture, not the other way round. CAPABILITIES SAP-native integration Direct SAP HANA / S/4HANA connectivity with module-aware scoping and virtual foreign-key mapping that understands master & transactional data and SAP business logic. Test data generation ML-driven test data that mirrors SAP distributions while removing PII, preserving business logic and edge cases at any scale. Lifecycle automation Copy, time-slice, subset, mask, generate, and provision: every operation from one SAP-native TDM platform. Cross-system coverage Consistent datasets across SAP and non-SAP apps for Order-to-Cash, Procure-to-Pay, Record-to-Report, and more. Schema intelligence AI-powered discovery of SAP module relationships and dependencies, cutting initial setup from weeks to hours. DevOps & CI/CD API, CLI, YAML & business-UI workflows and data-as-code embed test data into CI/CD, GitOps, and environment refreshes. Deployment options Private cloud, on-prem, or hybrid deployments with a minimal footprint and no vendor lock-in. EASY FLEXIBLE USE Sythesized is easy to use, with rapid time to value for technical and non-technical users. 1. Easier adoption and faster value: Guided, low-code workflows simplify test data preparation. Teams can get started faster and make repeatable refreshes part of everyday testing. 2. Fewer specialist prerequisites: Teams can prepare test data without first becoming programming or database experts. This reduces reliance on specialist skills for routine tasks. 3. SAP complexity handled for you: AI-powered relationship discovery reduces manual mapping across SAP modules and connected systems. Business-process-level generation preserves the relationships and business logic needed for scenarios such as Order-to-Cash and Procure-to-Pay. 4. Broader SAP ecosystem coverage: Expanded API-level support extends test data workflows across the SAP ecosystem. Teams can coordinate SAP and connected non-SAP test data through one platform. 5. SAP Clean Core alignment: The API-level approach supports a Clean Core-aligned test data strategy. Teams can modernise test data operations while keeping SAP core integrity central to their architecture. Synthesized runs inside your own environment, keeping production data within your boundary. It supports continuous SAP testing, S/4HANA migration validation and cross-system testing, with availability on SAP Store. For organisations moving towards the autonomous enterprise, the proposition is practical: make trusted test data easier to access, automate and govern. Give every team a stronger foundation for testing change.

Average Rating: 4.5/5.0

Total Reviews: 1

Who Is the Company Behind Synthesized SDK?

  • Seller: Synthesized
  • Company Website:
  • Year Founded: 2020
  • HQ Location: London, GB
  • Twitter: @Synthesizedio
    3,080 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    57 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Medium

What Are Recent G2 Reviews of Synthesized SDK?