Alternatives to Gretel

Fully managed ML tools allow you to build, deploy and scale machine-learning (ML) models quickly, for any use case. Vertex AI Workbench is natively integrated with BigQuery Dataproc and Spark. You can use BigQuery to create and execute machine-learning models in BigQuery by using standard SQL queries and spreadsheets or you can export datasets directly from BigQuery into Vertex AI Workbench to run your models there. Vertex Data Labeling can be used to create highly accurate labels for data collection. Vertex AI Agent Builder empowers developers to design and deploy advanced generative AI applications for enterprise use. It supports both no-code and code-driven development, enabling users to create AI agents through natural language prompts or by integrating with frameworks like LangChain and LlamaIndex.

Our decentralized platform streamlines AI data collection and labeling through a worldwide contributor network. By combining crowdsourcing with blockchain technology, we deliver high-quality, traceable datasets. Platform Highlights: Worldwide Collection: Tap into global contributors for comprehensive data gathering Blockchain Security: Every contribution tracked and verified on-chain Quality Focus: Expert validation ensures exceptional data standards Platform Benefits: Rapid scaling of data collection Complete data providence tracking Validated datasets ready for AI use Cost-efficient global operations Flexible contributor network How It Works: Define Your Needs: Create your data collection task Community Activation: Global contributors notified and start gathering data Quality Control: Human verification layer validates all contributions Sample Review: Get dataset sample for approval Full Delivery: Complete dataset delivered once approved

Windocks provides on-demand Oracle, SQL Server, as well as other databases that can be customized for Dev, Test, Reporting, ML, DevOps, and DevOps. 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. Databases can be delivered to conventional instances, Kubernetes or Docker containers. 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. When combined with Docker containers, enterprises often see a 5:1 reduction of lower-level database VMs.

When capturing data in real-life situations is difficult, we create diverse, fully-labeled image datasets. Our procedural technology provides the highest-quality, unbiased, and labeled synthetic datasets to improve your computer vision model. AI Verse gives users full control over scene parameters. This allows you to fine-tune environments for unlimited image creation, giving you a competitive edge in computer vision development.

Mask, generate, subset, virtualize, and automate your test data with the DATPROF Test Data Management Suite. Our solution helps managing Personally Identifiable Information and/or too large databases. Long waiting times for test data refreshes are a thing of the past.

Tonic provides an automated solution for generating mock data that retains essential features of sensitive datasets, enabling developers, data scientists, and sales teams to operate efficiently while ensuring confidentiality. By simulating your production data, Tonic produces de-identified, realistic, and secure datasets suitable for testing environments. The data is crafted to reflect your actual production data, allowing you to convey the same narrative in your testing scenarios. With Tonic, you receive safe and practical data designed to emulate your real-world data at scale. This tool generates data that not only resembles your production data but also behaves like it, facilitating safe sharing among teams, organizations, and across borders. It includes features for identifying, obfuscating, and transforming personally identifiable information (PII) and protected health information (PHI). Tonic also ensures the proactive safeguarding of sensitive data through automatic scanning, real-time alerts, de-identification processes, and mathematical assurances of data privacy. Moreover, it offers advanced subsetting capabilities across various database types. In addition to this, Tonic streamlines collaboration, compliance, and data workflows, delivering a fully automated experience to enhance productivity. With such robust features, Tonic stands out as a comprehensive solution for data security and usability, making it indispensable for organizations dealing with sensitive information.

A platform designed for ML engineers that generates synthetic data, facilitating the creation of more advanced AI models. With straightforward APIs, users can quickly generate a wide variety of perfectly-labeled, photorealistic images as needed. This highly scalable, cloud-based system can produce millions of accurately labeled images, allowing for innovative data-centric strategies that improve model performance. The platform offers an extensive range of pixel-perfect labels, including segmentation maps, dense 2D and 3D landmarks, depth maps, and surface normals, among others. This capability enables rapid design, testing, and refinement of products prior to hardware implementation. Additionally, it allows for prototyping with various imaging techniques, camera positions, and lens types to fine-tune system performance. By minimizing biases linked to imbalanced datasets while ensuring privacy, the platform promotes fair representation across diverse identities, facial features, poses, camera angles, lighting conditions, and more. Collaborating with leading customers across various applications, our platform continues to push the boundaries of AI development. Ultimately, it serves as a pivotal resource for engineers seeking to enhance their models and innovate in the field.

Syntho is generally implemented within our clients' secure environments to ensure that sensitive information remains within a trusted setting. With our ready-to-use connectors, you can establish connections to both source data and target environments effortlessly. We support integration with all major databases and file systems, offering more than 20 database connectors and over 5 file system connectors. You have the ability to specify your preferred method of data synthetization, whether it involves realistic masking or the generation of new values, along with the automated identification of sensitive data types. Once the data is protected, it can be utilized and shared safely, upholding compliance and privacy standards throughout its lifecycle, thus fostering a secure data handling culture.

K2View believes that every enterprise should be able to leverage its data to become as disruptive and agile as possible. We enable this through our Data Product Platform, which creates and manages a trusted dataset for every business entity – on demand, in real time. The dataset is always in sync with its sources, adapts to changes on the fly, and is instantly accessible to any authorized data consumer. We fuel operational use cases, including customer 360, data masking, test data management, data migration, and legacy application modernization – to deliver business outcomes at half the time and cost of other alternatives.

As interactions with customers increasingly transition from physical to digital environments, it becomes necessary to move beyond traditional face-to-face conversations. Instead, customers now convey their preferences and requirements through data. Gaining insights into customer behavior and validating our preconceptions about them also relies heavily on data-driven approaches. However, stringent privacy laws like GDPR and CCPA complicate this deep understanding even further. The MOSTLY AI synthetic data platform effectively addresses this widening gap in customer insights. This reliable and high-quality synthetic data generator supports businesses across a range of applications. Offering privacy-compliant data alternatives is merely the starting point of its capabilities. In terms of adaptability, MOSTLY AI's synthetic data platform outperforms any other synthetic data solution available. The platform's remarkable versatility and extensive use case applicability establish it as an essential AI tool and a transformative resource for software development and testing. Whether for AI training, enhancing explainability, mitigating bias, ensuring governance, or generating realistic test data with subsetting and referential integrity, MOSTLY AI serves a broad spectrum of needs. Ultimately, its comprehensive features empower organizations to navigate the complexities of customer data while maintaining compliance and protecting user privacy.

Sixpack is an innovative data management solution designed to enhance the creation of synthetic data specifically for testing scenarios. In contrast to conventional methods of test data generation, Sixpack delivers a virtually limitless supply of synthetic data, which aids testers and automated systems in sidestepping conflicts and avoiding resource constraints. It emphasizes adaptability by allowing for allocation, pooling, and immediate data generation while ensuring high standards of data quality and maintaining privacy safeguards. Among its standout features are straightforward setup procedures, effortless API integration, and robust support for intricate testing environments. By seamlessly fitting into quality assurance workflows, Sixpack helps teams save valuable time by reducing the management burden of data dependencies, minimizing data redundancy, and averting test disruptions. Additionally, its user-friendly dashboard provides an organized overview of current data sets, enabling testers to efficiently allocate or pool data tailored to the specific demands of their projects, thereby optimizing the testing process further.

CloudTDMS, your one stop for Test Data Management. Discover & Profile your Data, Define & Generate Test Data for all your team members : Architects, Developers, Testers, DevOPs, BAs, Data engineers, and more ... Benefit from CloudTDMS No-Code platform to define your data models and generate your synthetic data quickly in order to get faster return on your “Test Data Management” investments. CloudTDMS automates the process of creating test data for non-production purposes such as development, testing, training, upgrading or profiling. While at the same time ensuring compliance to regulatory and organisational policies & standards. CloudTDMS involves manufacturing and provisioning data for multiple testing environments by Synthetic Test Data Generation as well as Data Discovery & Profiling. CloudTDMS is a No-code platform for your Test Data Management, it provides you everything you need to make your data development & testing go super fast! Especially, CloudTDMS solves the following challenges : -Regulatory Compliance -Test Data Readiness -Data profiling -Automation

Datagen offers a self-service platform designed for creating synthetic data tailored specifically for visual AI applications, with an emphasis on both human and object data. This platform enables users to exert detailed control over the data generation process, facilitating the analysis of neural networks to identify the precise data required for enhancement. Users can effortlessly produce that targeted data to train their models effectively. To address various challenges in data generation, Datagen equips teams with a robust platform capable of producing high-quality, diverse synthetic data that is specific to particular domains. It also includes sophisticated features that allow for the simulation of dynamic humans and objects within their respective contexts. With Datagen, computer vision teams gain exceptional flexibility in managing visual results across a wide array of 3D environments, while also having the capability to establish distributions for every element of the data without any inherent biases, ensuring a fair representation in the generated datasets. This comprehensive approach empowers teams to innovate and refine their AI models with precision and efficiency.

We apply the highest quality standards to label your data, ensuring that even the most intricate AI projects are well-supported through our exclusive labeling platform. This allows you to focus on developing the products that resonate with your customers. Our comprehensive solution for image annotation features rapid labeling tools, synthetic data generation, efficient data management, automation capabilities, and on-demand annotation services, all designed to expedite the completion of computer vision initiatives. When precision in every pixel is crucial, you require reliable, AI-driven image annotation tools that cater to your unique use cases, including various instances, attributes, and much more. Our skilled team of data labelers is adept at handling any data-related challenge that may arise. As your requirements for data labeling expand, you can trust us to scale the necessary workforce to achieve your objectives, ensuring that unlike crowdsourcing platforms, the quality of your data remains uncompromised. With our commitment to excellence, you can confidently advance your AI projects and deliver exceptional results.

As enterprise data explodes and is scattered across multiple systems, the oversight of privacy, data security and governance has become a very difficult task. Businesses are exposed to significant risks, including data breaches, privacy suits, and penalties. It takes months to find data privacy risks within an organization. A team of data engineers is involved in the effort. Data breaches and privacy legislation are forcing companies to better understand who has access to data and how it is used. Enterprise data is complex. Even if a team works for months to isolate data privacy risks, they may not be able to quickly find ways to reduce them.

syntheticAIdata serves as your ally in producing synthetic datasets that allow for easy and extensive creation of varied data collections. By leveraging our solution, you not only achieve substantial savings but also maintain privacy and adhere to regulations, all while accelerating the progression of your AI products toward market readiness. Allow syntheticAIdata to act as the driving force in turning your AI dreams into tangible successes. With the capability to generate vast amounts of synthetic data, we can address numerous scenarios where actual data is lacking. Additionally, our system can automatically produce a wide range of annotations, significantly reducing the time needed for data gathering and labeling. By opting for large-scale synthetic data generation, you can further cut down on expenses related to data collection and tagging. Our intuitive, no-code platform empowers users without technical knowledge to effortlessly create synthetic data. Furthermore, the seamless one-click integration with top cloud services makes our solution the most user-friendly option available, ensuring that anyone can easily access and utilize our groundbreaking technology for their projects. This ease of use opens up new possibilities for innovation in diverse fields.

Statice is a data anonymization tool that draws on the most recent data privacy research. It processes sensitive data to create anonymous synthetic datasets that retain all the statistical properties of the original data. Statice's solution was designed for enterprise environments that are flexible and secure. It incorporates features that guarantee privacy and utility of data while maintaining usability.

Elevate your AI and data initiatives by harnessing the power of premium data. At Synthesized, we fully realize the potential of data by utilizing advanced AI to automate every phase of data provisioning and preparation. Our innovative platform ensures adherence to privacy and compliance standards, thanks to the synthesized nature of the data it generates. We offer software solutions for crafting precise synthetic data, enabling organizations to create superior models at scale. By partnering with Synthesized, businesses can effectively navigate the challenges of data sharing. Notably, 40% of companies investing in AI struggle to demonstrate tangible business benefits. Our user-friendly platform empowers data scientists, product managers, and marketing teams to concentrate on extracting vital insights, keeping you ahead in a competitive landscape. Additionally, the testing of data-driven applications can present challenges without representative datasets, which often results in complications once services are launched. By utilizing our services, organizations can significantly mitigate these risks and enhance their operational efficiency.

Enterprise synthetic test data solutions. It is essential that test data accurately reflects the structure of your database or application. This means it must be easy for you to model and maintain each project. Respect the referential integrity of parent/child/sibling relations across data domains within an app database or across multiple databases used for multiple applications. Ensure consistency and integrity of synthetic attributes across applications, data sources, and targets. A customer name must match the same customer ID across multiple transactions simulated by real-time synthetic information generation. Customers need to quickly and accurately build their data model for a test project. GenRocket offers ten methods to set up your data model. XTS, DDL, Scratchpad, Presets, XSD, CSV, YAML, JSON, Spark Schema, Salesforce.

Effortlessly create a wide variety of realistic synthetic data and detailed 3D environments to boost model efficacy. Bifrost's platform stands out as the quickest solution for producing the high-quality synthetic images necessary to enhance machine learning performance and address the limitations posed by real-world datasets. By bypassing the expensive and labor-intensive processes of data collection and annotation, you can prototype and test up to 30 times more efficiently. This approach facilitates the generation of data that represents rare scenarios often neglected in actual datasets, leading to more equitable and balanced collections. The traditional methods of manual annotation and labeling are fraught with potential errors and consume significant resources. With Bifrost, you can swiftly and effortlessly produce data that is accurately labeled and of pixel-perfect quality. Furthermore, real-world data often reflects the biases present in the conditions under which it was gathered, and synthetic data generation provides a valuable solution to mitigate these biases and create more representative datasets. By utilizing this advanced platform, researchers can focus on innovation rather than the cumbersome aspects of data preparation.

Subsalt represents a groundbreaking platform specifically designed to facilitate the utilization of anonymous data on a large enterprise scale. Its advanced Query Engine intelligently balances the necessary trade-offs between maintaining data privacy and ensuring fidelity to original data. The result of queries is fully-synthetic information that retains row-level granularity and adheres to original data formats, thereby avoiding any disruptive transformations. Additionally, Subsalt guarantees compliance through third-party audits, aligning with HIPAA's Expert Determination standard. It accommodates various deployment models tailored to the distinct privacy and security needs of each client, ensuring versatility. With certifications for SOC2-Type 2 and HIPAA compliance, Subsalt has been architected to significantly reduce the risk of real data exposure or breaches. Furthermore, its seamless integration with existing data and machine learning tools through a Postgres-compatible SQL interface simplifies the adoption process for new users, enhancing overall operational efficiency. This innovative approach positions Subsalt as a leader in the realm of data privacy and synthetic data generation.

Amazon SageMaker enables the identification of various types of unprocessed data, including images, text documents, and videos, while also allowing for the addition of meaningful labels and the generation of synthetic data to develop high-quality training datasets for machine learning applications. The platform provides two distinct options, namely Amazon SageMaker Ground Truth Plus and Amazon SageMaker Ground Truth, which grant users the capability to either leverage a professional workforce to oversee and execute data labeling workflows or independently manage their own labeling processes. For those seeking greater autonomy in crafting and handling their personal data labeling workflows, SageMaker Ground Truth serves as an effective solution. This service simplifies the data labeling process and offers flexibility by enabling the use of human annotators through Amazon Mechanical Turk, external vendors, or even your own in-house team, thereby accommodating various project needs and preferences. Ultimately, SageMaker's comprehensive approach to data annotation helps streamline the development of machine learning models, making it an invaluable tool for data scientists and organizations alike.

The premier platform designed for the complete computer vision process allows you to evolve from image annotation to precise neural networks at speeds up to ten times quicker. Utilizing our exceptional data labeling tools, you can convert your images, videos, and 3D point clouds into top-notch training data. This enables you to train your models, monitor experiments, visualize results, and consistently enhance model predictions, all while constructing custom solutions within a unified environment. Our self-hosted option ensures data confidentiality, offers robust customization features, and facilitates seamless integration with your existing technology stack. This comprehensive solution for computer vision encompasses multi-format data annotation and management, large-scale quality control, and neural network training within an all-in-one platform. Crafted by data scientists for their peers, this powerful video labeling tool draws inspiration from professional video editing software and is tailored for machine learning applications and beyond. With our platform, you can streamline your workflow and significantly improve the efficiency of your computer vision projects.

Streamline the lengthy processes of data handling, such as structuring, labeling, and preprocessing tasks. Centralize your data management within a single, easily integrable platform for enhanced efficiency. Rapidly enhance data accessibility through the use of synthetic data that prioritizes privacy and user-friendly exchange platforms. With the Aindo synthetic data platform, securely share data not only within your organization but also with external service providers, partners, and the AI community. Uncover new opportunities for collaboration and synergy through the exchange of synthetic data. Obtain any missing data in a manner that is both secure and transparent. Instill a sense of trust and reliability in your clients and stakeholders. The Aindo synthetic data platform effectively eliminates inaccuracies and biases, leading to fair and comprehensive insights. Strengthen your databases to withstand exceptional circumstances by augmenting the information they contain. Rectify datasets that fail to represent true populations, ensuring a more equitable and precise overall representation. Methodically address data gaps to achieve sound and accurate results. Ultimately, these advancements not only enhance data quality but also foster innovation and growth across various sectors.

Cutting-edge technology and services are designed to securely transform and elevate sensitive information into actionable insights, thereby fostering innovation and creating new avenues for revenue generation. Through the use of the Mimic synthetic data engine, businesses can effectively synthesize their data assets, ensuring that consumer privacy is safeguarded while preserving the statistical relevance of the information. This synthetic data can be leveraged for a variety of internal initiatives, such as analytics, machine learning, artificial intelligence, marketing efforts, and segmentation strategies, as well as for generating new revenue streams via external data monetization. Mimic facilitates the secure transfer of statistically relevant synthetic data to any cloud platform of your preference, maximizing the utility of your data. In the cloud, enhanced synthetic data—validated for compliance with regulatory and privacy standards—can support analytics, insights, product development, testing, and collaboration with third-party data providers. This dual focus on innovation and compliance ensures that organizations can harness the power of their data without compromising on privacy.

Syntheticus® revolutionizes the way organizations exchange data, addressing challenges related to data accessibility, scarcity, and inherent biases on a large scale. Our synthetic data platform enables you to create high-quality, compliant data samples that align seamlessly with your specific business objectives and analytical requirements. By utilizing synthetic data, you gain access to a diverse array of premium sources that may not be readily available in the real world. This access to quality and consistent data enhances the reliability of your research, ultimately resulting in improved products, services, and decision-making processes. With swift and dependable data resources readily available, you can expedite your product development timelines and optimize market entry. Furthermore, synthetic data is inherently designed to prioritize privacy and security, safeguarding sensitive information while ensuring adherence to relevant privacy laws and regulations. This forward-thinking approach not only mitigates risks but also empowers businesses to innovate with confidence.

Embracing data-centric AI has become remarkably straightforward thanks to advancements in automated data quality profiling and synthetic data creation. Our solutions enable data scientists to harness the complete power of their data. YData Fabric allows users to effortlessly navigate and oversee their data resources, providing synthetic data for rapid access and pipelines that support iterative and scalable processes. With enhanced data quality, organizations can deliver more dependable models on a larger scale. Streamline your exploratory data analysis by automating data profiling for quick insights. Connecting to your datasets is a breeze via a user-friendly and customizable interface. Generate synthetic data that accurately reflects the statistical characteristics and behaviors of actual datasets. Safeguard your sensitive information, enhance your datasets, and boost model efficiency by substituting real data with synthetic alternatives or enriching existing datasets. Moreover, refine and optimize workflows through effective pipelines by consuming, cleaning, transforming, and enhancing data quality to elevate the performance of machine learning models. This comprehensive approach not only improves operational efficiency but also fosters innovative solutions in data management.

Discover exceptional capabilities with an advanced AI data platform designed to optimize performance and ensure the success of your AI initiatives. ShaipCloud employs innovative technology to efficiently gather, monitor, and manage workloads, while also transcribing audio and speech, annotating text, images, and videos, and overseeing quality control and data transfer. This ensures that your AI project receives top-notch data without delay and at a competitive price. As your project evolves, ShaipCloud adapts alongside it, providing the scalability and necessary integrations to streamline operations and yield successful outcomes. The platform enhances workflow efficiency, minimizes complications associated with a globally distributed workforce, and offers improved visibility along with real-time quality management. While there are various data platforms available, ShaipCloud stands out as a dedicated AI data solution. Its secure human-in-the-loop framework is equipped to gather, transform, and annotate data seamlessly, making it an invaluable tool for AI developers. With ShaipCloud, you not only gain access to superior data capabilities but also a partner committed to your project's growth and success.

Share your production data with machine learning, data science, and analytics teams securely while maintaining customer trust. Eliminate the hassle of using regexes and open-source models. Private AI skillfully anonymizes over 50 types of personally identifiable information (PII), payment card information (PCI), and protected health information (PHI) in compliance with GDPR, CPRA, and HIPAA across 49 languages with exceptional precision. Substitute PII, PCI, and PHI in your text with synthetic data to generate model training datasets that accurately resemble your original data while ensuring customer privacy remains intact. Safeguard your customer information by removing PII from more than 10 file formats, including PDF, DOCX, PNG, and audio files, to adhere to privacy laws. Utilizing cutting-edge transformer architectures, Private AI delivers outstanding accuracy without the need for third-party processing. Our solution has surpassed all other redaction services available in the industry. Request our evaluation toolkit, and put our technology to the test with your own data to see the difference for yourself. With Private AI, you can confidently navigate regulatory landscapes while still leveraging valuable insights from your data.

Revolutionary machine teaching is here with an exceptionally efficient annotation tool driven by active learning. Prodigy serves as a customizable annotation platform so effective that data scientists can handle the annotation process themselves, paving the way for rapid iteration. The advancements in today's transfer learning technologies allow for the training of high-quality models using minimal examples. By utilizing Prodigy, you can fully leverage contemporary machine learning techniques, embracing a more flexible method for data gathering. This will enable you to accelerate your workflow, gain greater autonomy, and deliver significantly more successful projects. Prodigy merges cutting-edge insights from the realms of machine learning and user experience design. Its ongoing active learning framework ensures that you only need to annotate those examples the model is uncertain about. The web application is not only powerful and extensible but also adheres to the latest user experience standards. The brilliance lies in its straightforward design: it encourages you to concentrate on one decision at a time, keeping you actively engaged – akin to a swipe-right approach for data. Additionally, this streamlined process fosters a more enjoyable and effective annotation experience overall.

Scale Data Engine empowers machine learning teams to enhance their datasets effectively. By consolidating your data, authenticating it with ground truth, and incorporating model predictions, you can seamlessly address model shortcomings and data quality challenges. Optimize your labeling budget by detecting class imbalances, errors, and edge cases within your dataset using the Scale Data Engine. This platform can lead to substantial improvements in model performance by identifying and resolving failures. Utilize active learning and edge case mining to discover and label high-value data efficiently. By collaborating with machine learning engineers, labelers, and data operations on a single platform, you can curate the most effective datasets. Moreover, the platform allows for easy visualization and exploration of your data, enabling quick identification of edge cases that require labeling. You can monitor your models' performance closely and ensure that you consistently deploy the best version. The rich overlays in our powerful interface provide a comprehensive view of your data, metadata, and aggregate statistics, allowing for insightful analysis. Additionally, Scale Data Engine facilitates visualization of various formats, including images, videos, and lidar scenes, all enhanced with relevant labels, predictions, and metadata for a thorough understanding of your datasets. This makes it an indispensable tool for any data-driven project.

AI is today blocked by a lack of labeled data. Not models. The first data-centric AI platform powered by a programmatic approach will unblock AI. With its unique programmatic approach, Snorkel AI is leading a shift from model-centric AI development to data-centric AI. By replacing manual labeling with programmatic labeling, you can save time and money. You can quickly adapt to changing data and business goals by changing code rather than manually re-labeling entire datasets. Rapid, guided iteration of the training data is required to develop and deploy AI models of high quality. Versioning and auditing data like code leads to faster and more ethical deployments. By collaborating on a common interface, which provides the data necessary to train models, subject matter experts can be integrated. Reduce risk and ensure compliance by labeling programmatically, and not sending data to external annotators.

Our AI Training Data Platform combines the best of data annotators and computer vision capabilities, with the power of the AI Community of professional annotations. GT Manage: Our proprietary platform manager for our 1M+ community. GT Annotate is our proprietary data annotation software. GT Data: Our global expertise for data collection and creation. Human-powered AI is the foundation of all AI. Our fully automated platform allows sophisticated data annotation across data types, all within the same software. It also provides seamless project and AI Community Management. Ground Truth (GT Annotate) is our proprietary software for data annotation. It was carefully designed to allow teams to create quality AI training datasets quickly and accurately. Below are some examples of how the technology is used.

Human-powered data processing for AI and Automation. Our managed teams have helped hundreds of clients with use cases that range from simple and complex. Our proven processes provide high quality data quickly and can scale to meet your changing needs. Our flexible platform can be integrated with any commercial or proprietary tool so that you can use the right tool for your job. Flexible pricing and contract terms allow you to quickly get started and scale up or down as required without any lock-in. Clients have relied on our IT-Infrastructure to deliver high quality work remotely for nearly a decade. We were able to maintain operations during COVID-19 lockdowns. This allowed us to keep our clients running and added geographic and vendor diversity in their workforces.

The entire process of machine learning and computer vision is streamlined and expedited through a single no-code platform. Sense empowers users to create and implement AI IoT solutions across various environments, whether in the cloud, at the edge, or on-premises. Discover how Sense delivers ease, consistency, and transparency for AI/ML teams, providing robust capabilities for machine learning engineers while remaining accessible for subject matter experts. With Sense Data Annotation, you can enhance your machine learning models by efficiently labeling video and image data, ensuring the creation of high-quality training datasets. The platform also features one-touch labeling integration, promoting ongoing machine learning at the edge and simplifying the management of all your AI applications, thereby maximizing efficiency and effectiveness. This comprehensive approach makes Sense an invaluable tool for a wide range of users, regardless of their technical background.

Rockfish Data represents the pioneering solution in the realm of outcome-focused synthetic data generation, effectively revealing the full potential of operational data. The platform empowers businesses to leverage isolated data for training machine learning and AI systems, creating impressive datasets for product presentations, among other uses. With its ability to intelligently adapt and optimize various datasets, Rockfish offers seamless adjustments to different data types, sources, and formats, ensuring peak efficiency. Its primary goal is to deliver specific, quantifiable outcomes that contribute real business value while featuring a purpose-built architecture that prioritizes strong security protocols to maintain data integrity and confidentiality. By transforming synthetic data into a practical asset, Rockfish allows organizations to break down data silos, improve workflows in machine learning and artificial intelligence, and produce superior datasets for a wide range of applications. This innovative approach not only enhances operational efficiency but also promotes a more strategic use of data across various sectors.

Datanamic Data Generator serves as an impressive tool for developers, enabling them to swiftly fill databases with thousands of rows of relevant and syntactically accurate test data, which is essential for effective database testing. An empty database does little to ensure the proper functionality of your application, highlighting the need for appropriate test data. Crafting your own test data generators or scripts can be a tedious process, but Datanamic Data Generator simplifies this task significantly. This versatile tool is beneficial for DBAs, developers, and testers who require sample data to assess a database-driven application. By making the generation of database test data straightforward and efficient, it provides an invaluable resource. The tool scans your database, showcasing tables and columns along with their respective data generation configurations, and only a few straightforward entries are required to produce thorough and realistic test data. Moreover, Datanamic Data Generator offers the flexibility to create test data either from scratch or by utilizing existing data, making it even more adaptable to various testing needs. Ultimately, this tool not only saves time but also enhances the reliability of your application through comprehensive testing.

Introducing a versatile and precise synthetic data generation solution. In just minutes, you can create the specific data required for your perception system. Tailor scenarios to fit your needs with limitless variations available. Datasets can be generated effortlessly in the cloud. Anyverse delivers a robust synthetic data software platform that supports the design, training, validation, or refinement of your perception system. With unmatched cloud computing capabilities, it allows you to generate all necessary data significantly faster and at a lower cost than traditional real-world data processes. The Anyverse platform is modular, facilitating streamlined scene definition and dataset creation. The intuitive Anyverse™ Studio is a standalone graphical interface that oversees all functionalities of Anyverse, encompassing scenario creation, variability configuration, asset dynamics, dataset management, and data inspection. All data is securely stored in the cloud, while the Anyverse cloud engine handles the comprehensive tasks of scene generation, simulation, and rendering. This integrated approach not only enhances productivity but also ensures a seamless experience from conception to execution.

Address the obstacles faced in gathering data for the training of machine learning and AI systems by utilizing Rendered.ai, a platform-as-a-service tailored for data scientists, engineers, and developers. This innovative tool facilitates the creation of synthetic datasets specifically designed for ML and AI training and validation purposes. Users can experiment with various sensor models, scene content, and post-processing effects to enhance their projects. Additionally, it allows for the characterization and cataloging of both real and synthetic datasets. Data can be easily downloaded or transferred to personal cloud repositories for further processing and training. By harnessing the power of synthetic data, users can drive innovation and boost productivity. Rendered.ai also enables the construction of custom pipelines that accommodate a variety of sensors and computer vision inputs. With free, customizable Python sample code available, users can quickly start modeling SAR, RGB satellite imagery, and other sensor types. The platform encourages experimentation and iteration through flexible licensing, permitting nearly unlimited content generation. Furthermore, users can rapidly create labeled content within a high-performance computing environment that is hosted. To streamline collaboration, Rendered.ai offers a no-code configuration experience, fostering teamwork between data scientists and data engineers. This comprehensive approach ensures that teams have the tools they need to effectively manage and utilize data in their projects.

Our innovative automation platform, powered by AI and designed for low-code usage, aims to deliver exceptional results in the least amount of time. With our Natural Language Processing (NLP) technology, you can effortlessly generate automation scripts in plain English, freeing your developers to concentrate on innovative projects. Throughout your application's lifecycle, you can maintain high quality thanks to our autonomous discovery feature and comprehensive tracking of any changes. Our autonomous healing capabilities help mitigate risks in your ever-evolving development landscape, ensuring that updates are seamless and current. To comply with all regulatory standards and enhance security, utilize AI-generated synthetic data tailored to your automation requirements. Additionally, you can conduct multiple tests simultaneously, adjust test frequencies, and keep up with browser updates across diverse operating systems and platforms, ensuring a smooth user experience. This comprehensive approach not only streamlines your processes but also enhances overall productivity and efficiency.

SKY ENGINE AI is a simulation and deep learning platform that generates fully annotated, synthetic data and trains AI computer vision algorithms at scale. The platform is architected to procedurally generate highly balanced imagery data of photorealistic environments and objects and provides advanced domain adaptation algorithms. SKY ENGINE AI platform is a tool for developers: Data Scientists, ML/Software Engineers creating computer vision projects in any industry. SKY ENGINE AI is a Deep Learning environment for AI training in Virtual Reality with Sensors Physics Simulation & Fusion for any Computer Vision applications.

Revolutionary technology utilizing synthetic data ensures impeccable retail performance. This innovative vision technology is designed specifically for consumer packaged goods. With the Neurolabs platform, you can choose from an impressive selection of over 100,000 SKUs, featuring renowned brands like P&G, Nestlé, Unilever, and Coca-Cola, among others. Your field representatives are able to upload numerous shelf images directly from their mobile devices to our API, which seamlessly combines these images to recreate the scene. The SKU-level detection system offers precise insights, enabling you to analyze retail execution metrics such as out-of-shelf rates, shelf share percentages, and competitor pricing comparisons. Additionally, this advanced image recognition technology empowers you to optimize store operations, improve customer satisfaction, and increase profitability. You can easily implement a real-world application in under one week, gaining access to extensive image recognition datasets for over 100,000 SKUs while enhancing your retail strategy. This blend of technology and analytics allows for a significant competitive edge in the fast-evolving retail landscape.

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Delphix is the industry leader for DataOps. It provides an intelligent data platform that accelerates digital change for leading companies around world. The Delphix DataOps Platform supports many systems, including mainframes, Oracle databases, ERP apps, and Kubernetes container. Delphix supports a wide range of data operations that enable modern CI/CD workflows. It also automates data compliance with privacy regulations such as GDPR, CCPA and the New York Privacy Act. Delphix also helps companies to sync data between private and public clouds, accelerating cloud migrations and customer experience transformations, as well as the adoption of disruptive AI technologies.

You have complete authority over the encryption of your information at all times, ensuring there are no hidden backdoors. One solution encompasses all systems. With the innovative template concept, the eperi® Gateway can be customized for all your cloud applications, aligning perfectly with your data protection needs. Your team can maintain their usual workflow as the eperi® Gateway seamlessly encrypts data, allowing essential application functionalities like searching and sorting to remain intact. This allows you to leverage the benefits of cloud applications while adhering to rigorous financial industry regulations, including privacy-preserving analytics. The rise of IoT introduces intelligent machines and products that autonomously gather data. With encryption, you can not only secure data privacy but also meet compliance standards effectively. By integrating such robust encryption measures, you can confidently navigate the complexities of data management in today’s digital landscape.