Alternatives to OneView

The Synthetic Data Vault (SDV) is a comprehensive Python library crafted for generating synthetic tabular data with ease. It employs various machine learning techniques to capture and replicate the underlying patterns present in actual datasets, resulting in synthetic data that mirrors real-world scenarios. The SDV provides an array of models, including traditional statistical approaches like GaussianCopula and advanced deep learning techniques such as CTGAN. You can produce data for individual tables, interconnected tables, or even sequential datasets. Furthermore, it allows users to assess the synthetic data against real data using various metrics, facilitating a thorough comparison. The library includes diagnostic tools that generate quality reports to enhance understanding and identify potential issues. Users also have the flexibility to fine-tune data processing for better synthetic data quality, select from various anonymization techniques, and establish business rules through logical constraints. Synthetic data can be utilized as a substitute for real data to increase security, or as a complementary resource to augment existing datasets. Overall, the SDV serves as a holistic ecosystem for synthetic data models, evaluations, and metrics, making it an invaluable resource for data-driven projects. Additionally, its versatility ensures it meets a wide range of user needs in data generation and analysis.

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.

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.

DataGen delivers cutting-edge AI synthetic data and generative AI solutions designed to accelerate machine learning initiatives with privacy-compliant training data. Their core platform, SynthEngyne, enables the creation of custom datasets in multiple formats—text, images, tabular, and time-series—with fast, scalable real-time processing. The platform emphasizes data quality through rigorous validation and deduplication, ensuring reliable training inputs. Beyond synthetic data, DataGen offers end-to-end AI development services including full-stack model deployment, custom fine-tuning aligned with business goals, and advanced intelligent automation systems to streamline complex workflows. Flexible subscription plans range from a free tier for small projects to pro and enterprise tiers that include API access, priority support, and unlimited data spaces. DataGen’s synthetic data benefits sectors such as healthcare, automotive, finance, and retail by enabling safer, compliant, and efficient AI model training. Their platform supports domain-specific custom dataset creation while maintaining strict confidentiality. DataGen combines innovation, reliability, and scalability to help businesses maximize the impact of AI.

Satim offers an exceptional AI-driven software solution that specializes in the detection, classification, and identification of objects through the use of Synthetic Aperture Radar (SAR) satellite imagery. The company has developed a sophisticated simulator capable of generating synthetic SAR signatures, which enables the creation of SAR signatures for any object as well as any SAR system. This innovative simulator empowers us to introduce new object types for training our AI model, achieving classification accuracy rates of 90% in a matter of days. With the aid of our unique SAR data simulator, the models can be quickly adapted to detect and classify emerging objects, providing the necessary flexibility to meet the dynamic challenges faced by military, government, and commercial sectors. Our partnerships with leading SAR sensor providers allow us to merge cutting-edge technology with exceptional expertise. Furthermore, our extensive global network of partners is dedicated to enhancing advancements in the space and defense industries, ensuring we remain at the forefront of innovation. Through this collaboration, we aim to continuously push the boundaries of what's possible in the realm of object detection and classification.

SKY ENGINE AI provides a unified Synthetic Data Cloud designed to power next-generation Vision AI training with photorealistic 3D generative scenes. Its engine simulates multispectral environments—including visible light, thermal, NIR, and UWB—while producing detailed semantic masks, bounding boxes, depth maps, and metadata. The platform features domain processors, GAN-based adaptation, and domain-gap inspection tools to ensure synthetic datasets closely match real-world distributions. Data scientists work efficiently through an integrated coding environment with deep PyTorch/TensorFlow integration and seamless MLOps compatibility. For large-scale production, SKY ENGINE AI offers distributed rendering clusters, cloud instance orchestration, automated randomization, and reusable 3D scene blueprints for automotive, robotics, security, agriculture, and manufacturing. Users can run continuous data iteration cycles to cover edge cases, detect model blind spots, and refine training sets in minutes instead of months. With support for CGI standards, physics-based shaders, and multimodal sensor simulation, the platform enables highly customizable Vision AI pipelines. This end-to-end approach reduces operational costs, accelerates development, and delivers consistently high-performance models.

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.

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.

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.

Deep Block is a no-code platform to train and use your own AI models based on our patented Machine Learning technology. Have you heard of mathematic formulas such as Backpropagation? Well, I had once to perform the process of converting an unkindly written system of equations into one-variable equations. Sounds like gibberish? That is what I and many AI learners have to go through when trying to grasp basic and advanced deep learning concepts and when learning how to train their own AI models. Now, what if I told you that a kid could train an AI as well as a computer vision expert? That is because the technology itself is very easy to use, most application developers or engineers only need a nudge in the right direction to be able to use it properly, so why do they need to go through such a cryptic education? That is why we created Deep Block, so that individuals and enterprises alike can train their own computer vision models and bring the power of AI to the applications they develop, without any prior machine learning experience. You have a mouse and a keyboard? You can use our web-based platform, check our project library for inspiration, and choose between out-of-the-box AI training modules.

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.

Our platform, powered by AI, is designed to assist data analysts and machine learning engineers in fully harnessing the potential of their analytical data sets. Utilizing the patterns uncovered from current data, Datomize allows users to produce precisely the analytical data sets they require. With data that accurately reflects real-world situations, users are empowered to obtain a much clearer understanding of reality, leading to more informed decision-making. Unlock enhanced insights from your data and build cutting-edge AI solutions with ease. The generative models at Datomize create high-quality synthetic copies by analyzing the behaviors found in your existing data. Furthermore, our advanced augmentation features allow for boundless expansion of your data, and our dynamic validation tools help visualize the similarities between original and synthetic data sets. By focusing on a data-centric framework, Datomize effectively tackles the key data limitations that often hinder the development of high-performing machine learning models, ultimately driving better outcomes for users. This comprehensive approach ensures that organizations can thrive in an increasingly data-driven world.

Experience unparalleled accuracy and reliability with medium and large format aerial imagery. Our precision-engineered high-resolution aerial cameras and solutions streamline the processes of mapping and surveying, making them easier than ever. Conducting photogrammetry mapping missions is seamless, enabling the capture of detailed high-resolution images for both 2D and 3D mapping applications. With these solutions, you can achieve extensive surface coverage at exceptional resolution, ensuring precise inspection of both the targeted objects and their surroundings. Detect damage as small as a millimeter efficiently, speeding up repairs, enhancing performance, and minimizing environmental impact through Phase One's specialized drone solutions and cameras designed for aerial use. Tailored specifically for geospatial and industrial imaging, Phase One's aerial cameras are the result of collaboration with top industry experts. Our medium and large format cameras deliver the finest image quality available globally, characterized by high resolution, expansive dynamic range, accurate color reproduction, and precise geometric fidelity, making them the ultimate choice for professionals in the field. These advanced imaging solutions not only meet but exceed the rigorous demands of contemporary aerial photography and surveying.

Gretel provides privacy engineering solutions through APIs that enable you to synthesize and transform data within minutes. By utilizing these tools, you can foster trust with your users and the broader community. With Gretel's APIs, you can quickly create anonymized or synthetic datasets, allowing you to handle data safely while maintaining privacy. As development speeds increase, the demand for rapid data access becomes essential. Gretel is at the forefront of enhancing data access with privacy-focused tools that eliminate obstacles and support Machine Learning and AI initiatives. You can maintain control over your data by deploying Gretel containers within your own infrastructure or effortlessly scale to the cloud using Gretel Cloud runners in just seconds. Leveraging our cloud GPUs significantly simplifies the process for developers to train and produce synthetic data. Workloads can be scaled automatically without the need for infrastructure setup or management, fostering a more efficient workflow. Additionally, you can invite your team members to collaborate on cloud-based projects and facilitate data sharing across different teams, further enhancing productivity and innovation.

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.

AI-powered geospatial solutions for the enterprise. Detect objects, monitor changes, and discover patterns 95% faster.

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.

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

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.

Your industry's strongest digital twin. A comprehensive data model is created based on your asbuilts and other sources, including an interactive map. Machine learning is enabling us to provide insights that are based on our industry-leading data modeling. These insights improve over time. Everything from commissioning to warranty claims and financial due diligence can be strengthened. A secure and centrally located platform for storing inspection reports, data and documents, CAD files and technical specifications, performance models, warranty documentation and shipping receipts, as well as photographs and field notes. Easily accessible and maintained with live geospatial equipment profiles. The market leader in aerial thermography offers unlimited inspection reports and analytics. The inputs for Raptor inspections can be any drone, plane, satellite, or sensor. Ours or yours. Get industry-leading training to ensure that your data collection meets specifications.

PicStork, created by AeroMegh, is an innovative platform that harnesses AI to streamline the analysis of aerial imagery through advanced geospatial analytics. Users can easily upload their datasets and build tailored machine learning models to carry out object detection, all without requiring any programming expertise. With its intuitive design, PicStork enhances productivity by guiding users through tasks such as image preparation, model training, and immediate cloud-based analysis. This versatile platform caters to a wide range of sectors, including agriculture, construction, and environmental assessment, delivering detailed reports and insights that support informed decision-making. By making aerial image analysis accessible to everyone, PicStork empowers users to leverage advanced technology for various real-world applications.

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.

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.

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.

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.

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.

Twine AI provides customized services for the collection and annotation of speech, image, and video data, catering to the creation of both standard and bespoke datasets aimed at enhancing AI/ML model training and fine-tuning. The range of offerings includes audio services like voice recordings and transcriptions available in over 163 languages and dialects, alongside image and video capabilities focused on biometrics, object and scene detection, and drone or satellite imagery. By utilizing a carefully selected global community of 400,000 to 500,000 contributors, Twine emphasizes ethical data gathering, ensuring consent and minimizing bias while adhering to ISO 27001-level security standards and GDPR regulations. Each project is comprehensively managed, encompassing technical scoping, proof of concept development, and complete delivery, with the support of dedicated project managers, version control systems, quality assurance workflows, and secure payment options that extend to more than 190 countries. Additionally, their service incorporates human-in-the-loop annotation, reinforcement learning from human feedback (RLHF) strategies, dataset versioning, audit trails, and comprehensive dataset management, thereby facilitating scalable training data that is rich in context for sophisticated computer vision applications. This holistic approach not only accelerates the data preparation process but also ensures that the resulting datasets are robust and highly relevant for various AI initiatives.

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.

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.

Geographic Imager® is a powerful enhancement for Adobe Photoshop that streamlines the process of working with spatial imagery, making it both rapid and efficient. This software introduces a variety of tools designed for the import, editing, manipulation, and exportation of geospatial images, including aerial and satellite visuals. Users can seamlessly utilize native Adobe Photoshop features like transparencies, filters, pixel editing, and various image adjustments such as brightness and contrast, all while preserving spatial referencing. Any image format compatible with Adobe Photoshop can serve as the foundation for a spatial image, allowing for a versatile approach to editing. Additionally, it supports the import of widely-used spatial image formats, such as GeoTIFF, MrSID, NITF, and PCI, among others. Digital elevation formats, including Esri GRID, BIL, and USGS DEM, can also be imported effortlessly. The Geographic Imager panel is designed for user convenience, providing quick access to all essential tools and functions. Moreover, it displays all spatial data associated with the image, such as the coordinate system and the world location of the corners, ensuring that users have all necessary information at their fingertips. This comprehensive functionality makes Geographic Imager an invaluable tool for professionals working with geospatial imagery.

FlyPix AI is a platform for advanced object detection that analyzes satellite and drone images. FlyPix AI allows users to detect, segment and locate objects and areas. It also tracks changes and detects anomalies in geospatial data. Its intuitive and user-friendly interface allows users to create customized use case and extract valuable data from earth observation data without any coding knowledge.

Data serves as an essential asset for businesses today. By leveraging the right AI models, organizations can effectively construct and analyze customer profiles, identify emerging trends, and uncover new avenues for growth. However, developing precise and reliable AI models necessitates vast amounts of data, presenting challenges related to both the quality and quantity of the information collected. Furthermore, strict regulations such as GDPR impose limitations on the use of certain sensitive data, including customer information. This calls for a fresh perspective, particularly in software testing environments where obtaining high-quality test data proves difficult. Often, real customer data is utilized, which raises concerns about potential GDPR violations and the risk of incurring substantial fines. While it's anticipated that Artificial Intelligence (AI) could enhance business productivity by a minimum of 40%, many organizations face significant hurdles in implementing or fully harnessing AI capabilities due to these data-related obstacles. To address these issues, ADA employs cutting-edge deep learning techniques to generate synthetic data, providing a viable solution for organizations seeking to navigate the complexities of data utilization. This innovative approach not only mitigates compliance risks but also paves the way for more effective AI deployment.

Discover various locations, obtain directions for transit, walking, or driving, check real-time traffic updates, organize your travel itineraries, and explore satellite, aerial, and street-level imagery. Utilize Bing Maps to fulfill all your mapping and navigation requirements. Whether you're planning a road trip or just navigating through your city, Bing Maps has you covered with a comprehensive set of features.

DroneMapper offers two distinct licensed versions of its desktop photogrammetry software, named Remote Expert and Rapid, both of which are compatible with Windows operating systems. Remote Expert is capable of producing orthomosaics and digital elevation models (DEMs) at customizable imagery resolutions and can handle up to 10,000 images in a single project. In contrast, Rapid, which shares similar features with Remote Expert, is limited to processing 250 images per project. Licensing for both versions is straightforward, with Remote Expert available for perpetual licensing and Rapid offered on an annual basis. As a forward-thinking company, we focus on photogrammetry and maximizing the value derived from your imagery. Our services include the creation of georeferenced orthomosaics, DEMs, digital terrain models (DTMs), point clouds, textured mesh 3D models, and various GIS products tailored for a wide range of industries. We utilize a Software as a Service (SaaS) model, in addition to providing licensed desktop applications, conducting both manned and unmanned aerial imagery collections, and offering specialized consultation and training to suit your specific needs. Our commitment to innovation and customer satisfaction sets us apart in the photogrammetry market.

Airteam is an AI-powered software that converts aerial data from drones into digital building models. This allows photovoltaic planners, roofers, and contractors to measure and inspect buildings quickly and cost-effectively in 3D. This saves approximately 90% of the time of measurements vs. traditional methods such as tape measures and lasers. In comparison to satellite images, the Airteam 3D measurements and inspections are down to 1cm in accuracy.

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.

Obtain swift and accurate property measurements alongside parcel boundaries through the use of aerial and satellite images, all conveniently stored in the cloud. Enhance your operations, make informed decisions, and achieve unprecedented levels of profitability and performance. Go iLawn and LandOne have advanced into their latest iteration to assist landscapers in collecting, connecting, and visualizing vital data to secure, win, and manage more projects efficiently. With precision measurement tools tailored for landscape contractors, you can easily generate takeoffs for maintenance tasks, design-build initiatives, enhancement possibilities, and beyond. Employ high-resolution aerial images and PDF uploads to produce quick and professional takeoffs with ease. As you measure, automatically calculate time, material, and cost estimates using data imported from your pricing database or the Aspire platform, streamlining the process and minimizing errors linked to manual data input. This innovative approach not only saves time but also empowers landscapers to focus on what truly matters—delivering exceptional service and results to their clients.

MicMac is an open-source photogrammetric suite, licensed under Cecill-B, designed for a range of 3D reconstruction applications. While the software primarily targets professional and academic users, there are ongoing efforts to enhance its accessibility for a broader audience. One of its key advantages is its impressive versatility, allowing it to be applied across diverse domains such as cartography, environmental studies, industry, forestry, heritage preservation, and archaeology. MicMac facilitates the generation of both 3D models and ortho-imagery when suitable. It is capable of handling objects of various sizes, from small items and statues captured from ground level to larger structures like churches and castles using drone imagery, as well as extensive environments like buildings, cities, or natural landscapes through aerial or satellite methods. Furthermore, the software provides tools for georeferencing products in local, global, or absolute coordinate systems. Additionally, several supplementary tools expand its capabilities into metrology and site surveying, enriching its functionality in professional applications.

Transforming drone imagery into precise images and 3D models in just minutes, ArcGIS Drone2Map facilitates the rapid production of professional-grade imagery products derived from drone-captured visuals through its advanced photogrammetry suite, powered by Pix4D. This tool enables swift generation of products suitable for both visualization and analytical purposes. You can select the drone and camera that best fit your requirements, and execute in-field image processing to assess the quality and coverage of your imagery collection effectively. Moreover, simplify your ground control processes with ArcGIS Collector, which allows you to gather high-accuracy points that seamlessly integrate into your ArcGIS Drone2Map projects. The software automates the image processing workflow, offering an intuitive interface that makes it the simplest option in the industry. With just a few clicks, you can create impressive 2D and 3D products that are valuable for your entire organization’s analysis and visualization efforts. Additionally, you can obtain updated aerial imagery with minimal effort, enhancing your operational efficiency significantly. This capability not only saves time but also ensures that your data remains current and relevant.

MakerSuite is a platform designed to streamline the workflow process. It allows you to experiment with prompts, enhance your dataset using synthetic data, and effectively adjust custom models. Once you feel prepared to transition to coding, MakerSuite enables you to export your prompts into code compatible with various programming languages and frameworks such as Python and Node.js. This seamless integration makes it easier for developers to implement their ideas and improve their projects.

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.

Utilize drones equipped with either standard RGB cameras or specialized multispectral cameras to gather imagery, and consider incorporating satellite data from Sentinel-2 to improve your mapping capabilities. With an efficient instant processing engine, you can obtain your maps right in the field, processing up to 6.8 GB of data from 2,948 images in just 10 minutes using the latest radiometry module. Produce high-quality ortho mosaics, digital surface models, index maps, zones, and detailed prescription maps tailored to your specific needs. Define your fields according to desired boundaries for more precise outputs, enabling you to visualize and monitor the various growth stages and stress levels of your crops effectively. By analyzing and comparing multiple layers of data, you can gain comprehensive insights into your yield performance, ultimately leading to enhanced crop production and cost reductions. This solution stands out as the only hybrid mapping software for agriculture, drawing on the expertise of farmers, agronomists, and researchers alike. Additionally, leveraging both drone and satellite imagery allows for the creation of increasingly accurate precision agriculture maps.

Agricultural enterprises often encounter a deficit in access to rural agricultural intelligence. Our mission is to bridge that gap by linking your business to trustworthy and comprehensive rural data and analytics seamlessly. By leveraging diverse sources of satellite imagery, we enhance our platform with innovative machine learning algorithms. Our offerings include precise and extensive rural agricultural intelligence as a service, catering to agribusinesses, agri-finance sectors, and governmental agencies through our user-friendly platform and APIs. This approach ensures that stakeholders have the insights they need to make informed decisions and optimize their operations effectively.

Full-featured DIY roofing software iRoofing is available for iPhones, iPads and Android devices. It can also be used online via laptops or desktop PCs. The app's portable version allows contractors to measure any roof using satellite, HD aerial, drone and blueprint images. It also generates instant estimates and creates realistic roof simulations with images and specifications from the app's extensive catalog of roofing products.

IGiS Photogrammetry Suite is a one-click solution to convert digital images into 3D. IGiS Photogrammetry Suite supports fully automated photogrammetry and geodesy tools for converting image into 3D, Dynamic, Automated Processing Workflow and High Accuracy Outputs. Photogrammetry uses aerial photos, drone photos, or satellite images to determine the spatial properties or dimensions of objects/features in a photographic image. IGiS Photogrammetry Suite is a product of IGiS, powered by Scanpoint Geomatics Limited. It offers a one-click solution for digital images processing and converting them to 3D. This will be useful input for GIS software and special effect building, as well as proxy measurements of objects of different sizes.