Alternatives to KopiKat

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.

OneView creates next-generation virtual synthetic datasets for ML algorithm training. We provide ready-to-use datasets for all objects in any environment, with a focus on satellite and aerial imagery. VSD is computer-generated, real-like imagery. It can be used to replace real imagery. It is a cost-effective, scalable, and highly accurate training material for ML algorithm. OneView bridges the gap between increasing availability of earth observation data, and the limited ability to use it for intelligence gathering. We provide the tools to improve data analysis and enable geospatial imagery to yield new and valuable insights. It doesn't matter if you have long-tail or rare objects, or if you don't have enough data. We can generate a dataset for every object. We can generate any environment. High-detailed, customized environment for model training.

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.

A platform for ML engineers that provides synthetic data to facilitate the development of better AI models. Simple APIs allow for the instant generation of photorealistic, well-labeled images. Cloud-based generation platform that is highly scalable delivers millions of perfectly labeled photos. On-demand data allows for new data-centric approaches to create more efficient models. A broader range of pixel-perfect labels, including segmentation maps and dense 2D/3D landmarks as well as depth maps, surface norms, depth maps, and more, is now available. You can quickly design, test, refine, and revise your products before you build hardware. To optimize your system, prototype different imaging modalities, camera placements, lens types, and other lens types. Your models will be less biased if there are misbalanced data sets. Privacy will still be protected. Equal representation across identities, facial attributes and poses, as well as lighting and camera settings. We have worked with top-notch customers in many different use cases.

Create high-fidelity 3D environments and diverse synthetic data quickly and easily to improve model performance. Bifrost is the fastest and easiest way to create high-quality synthetic images to improve ML performance. By avoiding time-consuming and expensive real-world data collection, you can prototype and test up 30x faster. Generating data to account rare scenarios that are underrepresented in the real data will result in more balanced datasets. Manual annotation and labeling can be resource-intensive and prone to errors. Quickly and easily generate data that are pre-labeled, pixel-perfect. Real-world data can inherit biases from the conditions under which it was collected and generate data that solves for these instances.

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.

Our AI-powered platform for data generation allows data analysts and machine-learning engineers to maximize their analytical data sets. Datomize allows users to create the exact analytical data they need by leveraging behavior extracted from existing data. With data that accurately reflects real-world scenarios and allows users to make better decisions, they can now get a more accurate picture of reality. Take advantage of your data to develop AI solutions that are state-of-the art. Datomize's AI powered, generative models create superior synthesized replicas by extracting behavior from your existing datasets. Advanced augmentation tools allow for unlimited resizing, while dynamic validation tools show the similarity of original and replicated data. Datomize's machine learning approach is data-centric and addresses the primary constraints of training high-performing ML model.

Tonic automatically creates mock datasets that preserve key characteristics of secure data sets so that data scientists, developers, and salespeople can work efficiently without revealing their identities. Tonic creates safe, de-identified data from your production data. Tonic models your production data from your production data to help tell a similar story in your testing environments. Safe and useful data that is scaled to match your real-world data. Safely share data across businesses, teams, and borders to create data that is identical to your production data. PII/PHI identification and obfuscation. Protect your sensitive data by proactive protection with automatic scanning, alerts and de-identification. Advanced subsetting across diverse database types. Fully automated collaboration, compliance, and data workflows.

Share your production data securely with ML, data scientists, and analytics teams, while maintaining customer trust. Stop wasting time with regexes and free models. Private AI anonymizes 50+ entities PII PCI and PHI in 49 languages, with unmatched accuracy, across GDPR, CPRA and HIPAA. Synthetic data can be used to replace PII, PCI and PHI text in order to create model training data that looks exactly like production data. This will not compromise customer privacy. Remove PII in 10+ file formats such as PDFs, DOCXs, PNGs, and audios to protect customer data and comply privacy regulations. Private AI uses the most advanced transformer architectures for remarkable accuracy right out of the box. No third-party processing required. Our technology outperforms every other redaction service available on the market. Please feel free to request a copy of the evaluation toolkit for you to test with your own data.

MakerSuite simplifies this process. MakerSuite allows you to easily tune custom models, iterate on prompts and augment your data with synthetic data. MakerSuite allows you to export your prompts as code in your favorite languages, such as Python and Node.js, when you are ready to move on to code.

Amazon SageMaker lets you identify raw data, such as images, text files and videos. You can also add descriptive labels to generate synthetic data and create high-quality training data sets to support your machine learning (ML). SageMaker has two options: Amazon SageMaker Ground Truth Plus or Amazon SageMaker Ground Truth. These options allow you to either use an expert workforce or create and manage your data labeling workflows. data labeling. SageMaker GroundTruth allows you to manage and create your data labeling workflows. SageMaker Ground Truth, a data labeling tool, makes data labeling simple. It also allows you to use human annotators via Amazon Mechanical Turk or third-party providers.

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.

With automated data quality profiling, and synthetic data generation, adopting data-centric AI is easier than ever. We help data scientists unlock the full potential of data. YData Fabric enables users to easily manage and understand data assets, synthetic data, for fast data access and pipelines, for iterative, scalable and iterative flows. Better data and more reliable models delivered on a large scale. Automated data profiling to simplify and speed up exploratory data analysis. Upload and connect your datasets using an easy-to-configure interface. Synthetic data can be generated that mimics real data's statistical properties and behavior. By replacing real data with synthetic data, you can enhance your datasets and improve your models' efficiency. Pipelines can be used to refine and improve processes, consume data, clean it up, transform your data and improve its quality.

Describe your data model at an abstract level using XML. It is not necessary to have developer skills. Use a variety of function libraries to create realistic data. Write your own extensions using Javascript or Java. Integrate your data processing into Gitlab CI, Jenkins or Jenkins. Benerator's model driven data toolkit allows you to generate, anonymize and migrate data. Define processes for anonymizing or pseudonymizing data in plain XML without needing developer skills. Protect your customers' privacy and stay GDPR compliant. Mask and obfuscate data sensitive for BI, testing, development or training. Subsetting allows you to combine data from different sources while maintaining data integrity. Transform and migrate your data in multisystem landscapes. Reuse your test data models for migration to production environments. In a microsystems architecture, keep your data consistent and reliable.

Our proprietary labeling platform allows us to label your data with higher quality standards in order to meet the requirements of complex AI projects. Now you can create the products that your customers love.

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.

Overcome challenges when acquiring data to train AI and machine learning systems. Rendered.ai, a PaaS, is designed for data scientists and engineers. Create synthetic datasets to train and validate ML/AI. Experiment with scene content, sensor models, and post-processing. Catalogue and characterize real and synthetic datasets. Download or move data into your own cloud repositories to be processed and trained. Synthetic data can be used to boost innovation and productivity. Create custom pipelines for modeling diverse sensors and computer-vision inputs. Python sample code is available for free and can be customized to model SAR, RGB Satellite imagery, and other sensor types. Flexible licensing allows for almost unlimited content creation. Create labeled, high-performance computing content quickly in a hosted environment. No-code configuration allows data scientists and engineers to collaborate.

Accelerate data processing tasks such as structuring, labeling and preprocessing. Manage all your data on a central platform that is easy to integrate. Increase data accessibility quickly with privacy-protected synthetic data and user friendly exchange platforms. The Aindo platform for synthetic data allows you to securely share data between departments, with external providers, partners and the artificial-intelligence community. Synthetic data exchange and collaboration can help you discover new synergies. Securely and openly acquire missing data. Your clients and stakeholders will appreciate the comfort and trust you provide. Aindo's synthetic data platform eliminates data inaccuracies, implicit bias and provides fair and complete insights. Enhance information to make databases resilient to special events. Balance datasets which misrepresent the true population to get a fair and accurate depiction. Fill in data gaps with precision and accuracy.

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.

The Synthetic Data vault (SDV) was designed as a Python library that allows you to create tabular synthetic data. The SDV uses machine learning algorithms to emulate patterns in synthetic data. The SDV offers a variety of models, from classical statistical methods to deep learning methods. Create data for single tables or multiple connected tables. Compare the synthetic data with the real data using a variety measures. Diagnose problems and create a quality report for more insights. Control data processing to enhance the quality of synthetic information, choose different types of anonymization and define business rules as logical constraints. Use synthetic data to replace real data or as an enhancement. The SDV is a comprehensive ecosystem of synthetic data models, metrics, and benchmarks.

Privacy engineering tools delivered as APIs. In minutes, you can synthesize and transform data. Trust your users and the community. Gretel's APIs allow you to instantly create anonymized or synthetic data sets so that you can safely work with data while protecting your privacy. Access to data must be faster in order to keep up with the development pace. Gretel's data privacy tools bypass blockers, and allow for Machine Learning and AI applications to access data faster. Gretel Cloud runners makes it easy to scale up your workloads to the cloud or keep your data safe by running Gretel containers within your own environment. Developers will find it much easier to train and create synthetic data using our cloud GPUs. Scale workloads instantly with no infrastructure required. Invite colleagues to collaborate on cloud projects, and share data between teams.

dbForge Data generator for MySQL is an advanced GUI tool that allows you to create large volumes of realistic test data. The tool contains a large number of predefined data generation tools with customizable configuration options. These allow you to populate MySQL databases with meaningful data.

Synth is a data-as code tool that offers a simple CLI workflow to generate consistent data in an scalable manner. Synth can be used to generate data that is correct and anonymized, but still looks and sounds like production. Create test data fixtures to support your continuous integration, testing and development. Create data that tells you the story you wish to tell. Specify constraints and relations. Seed development, environments and CI. Anonymize sensitive production data. Create realistic data according to your specifications. Synth's declarative configuration language allows you to specify the entire data model in code. Synth can import existing data and create accurate data models. Synth is database-agnostic and supports semistructured data. It works well with SQL and NoSQL. Synth can generate thousands of semantic types, such as email addresses, credit card numbers and more.

Synthesized can help you unlock the full potential of your data projects and AI. We automate all stages of data preparation and provisioning with cutting-edge AI. The platform synthesizes data without exposing personal information or causing compliance issues. Software to prepare and provide accurate synthetic data for building better models at scale. Synthesized solves the problem of data sharing for businesses. 40% of companies that invest in AI can't report business benefits. Our easy-to-use platform allows data scientists, product, and marketing teams to focus on revealing critical insight. Without representative data, testing data-driven applications can be difficult. This can lead to problems when services go live.

Synthetic data is the key to a leading-edge technology that allows for flawless retail execution. Vision technology for consumer packaged products. Choose from a catalog of over 100,000 SKUs on the Neurolabs platform, including top brands like P&G, Nestle Unilever, Coca-Cola and more. Our API will automatically stitch together multiple shelf images uploaded by your field agents from their mobile devices. SKU-level detection gives you detailed information that can be used to calculate retail execution KPIs, such as out-of shelf rate, shelf share percentage and competitor price comparison. Discover how our cutting edge image recognition technology can maximize store operations, improve customer experience, and boost profits. Implement a real deployment in less than a week. Access image recognition datasets covering over 100,000 SKUs.

RNDGen Random Data Generator, a user-friendly tool to generate test data, is free. The data creator customizes an existing data model to create a mock table structure that meets your needs. Random Data Generator is also known as dummy data, csv, sql, or mock data. Data Generator by RNDGen lets you create dummy data that is representative of real-world scenarios. You can choose from a variety of fake data fields, including name, email address, zip code, location and more. You can customize generated dummy information to meet your needs. With just a few mouse clicks, you can generate thousands of fake rows of data in different formats including CSV SQL, JSON XML Excel.

Data is a valuable business asset. With the right AI model it is possible to use data in order to build and understand customers profiles, identify trends, and identify potential new business opportunities. It takes a lot of data to build accurate and robust AIs, which is a challenge from both a quality and quantity perspective. Stringent regulations, including GDPR, also restrict the use and sharing of sensitive data like customer data. It's time to change the way we do things. It's time for a new approach, especially in a software test environment where it is difficult to access good quality testing data. We often see actual customer data used, which can lead to GDPR non-compliance with heavy financial penalties. Artificial Intelligence is expected to increase productivity in businesses by at least 40%, but businesses struggle to deploy AI solutions or fully unlock them due to data-related issues. ADA generates artificial data using advanced deep-learning.

We can no longer rely upon real-life conversations as physical customer interactions shift to digital. Customers communicate their intentions and share their needs using data. Data is a key tool for understanding customers and testing our assumptions. Privacy regulations like GDPR and CCPA make deep understanding more difficult. This gap in customer understanding is bridged by the MOSTLY AI synthetic dataset platform. Businesses can benefit from a reliable, high-quality generator of synthetic data in many different applications. The story doesn't end there. MOSTLY AI's synthetic dataset platform is more versatile than any other synthetic data generator. MOSTLY AI's versatility makes it an indispensable tool for software development and testing. From AI training to explainability and bias mitigation, governance to realistic test data, with subsetting, referential integrity.

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

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.

Our AI-driven, low-code automation platform is designed for you to achieve the best quality result in the shortest time possible. Our Natural Language Processing (NLP-powered solution) allows you to generate automation scripts in plain English and allows your coders focus on innovation. Our autonomous discovery and current tracking of changes ensures that your application is high quality throughout its lifecycle. Our autonomous healing capability reduces risk in dynamic development environments and delivers flawless updates by keeping automation up-to-date. All regulatory requirements are met and security risks eliminated by using AI-generated synthetic data to automate your business processes. Multiple tests can be run simultaneously, you can determine the test frequency, keep up with browser updates, and execute across platforms and operating systems.

Datanamic Data Generator allows developers to quickly populate databases with thousands upon rows of meaningful, syntactically correct data for database testing purposes. A blank database is useless for testing your application. Test data is essential. It is difficult to create your own test data generators and scripts. Datanamic Data Generator can help. This tool is available for developers, DBAs, and testers who require sample data to test a database-driven app. Datanamic Data Generator makes it easy to generate database test data. It will read your database and display tables and columns according to their data generation settings. To generate complete (realistic) test data, only a few entries are required. This tool can be used to create test data from scratch, or from existing data.

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.

Advanced technology and services that safely transform and enhance sensitive information into actionable insights can help drive innovation and open up new revenue streams. Mimic synthetic engine allows companies to safely synthesize data assets while protecting consumer privacy and maintaining statistical relevance. The synthetic data can be used to support internal initiatives such as analytics, machine-learning and AI, marketing, segmentation, and revenue generation through external data monetization. Mimic enables you to safely move statistically-relevant synthetic data to the cloud ecosystem of your choice to get the most out of your data. With the enhanced synthetic data in the cloud, you can do analytics, insights, product testing, third-party data sharing, and more. The data has been certified as being compliant with privacy and regulatory laws.

dbForge Data Generator is a powerful GUI tool that populates Oracle schemas with realistic test data. The tool has an extensive collection 200+ predefined and customizeable data generators for different data types. It delivers flawless and fast data generation, including random number generation, in an easy-to-use interface. The latest version of Devart's product is always available on their official website.

Syntheticus®, a data exchange platform, overcomes limitations such as scarcity and bias in data, while enabling data exchange at scale. Our synthetic data platform allows you to generate high-quality, compliant data samples that are tailored to your business goals and analytics needs. Synthetic data allows you to tap into a variety of high-quality resources that aren't always available in real life. You can conduct more reliable research by using high-quality data that is consistent. This will lead to better products, business decisions, and services. You can accelerate product development cycles by having reliable, fast data at your fingertips. Synthetic data is designed as a private and secure data source by default. This protects sensitive data and maintains compliance with privacy laws.

Sixpack is an automated data management platform that streamlines synthetic data for testing. Sixpack, unlike traditional test data generation methods, provides an unlimited supply of synthetic data to help testers and automated testing avoid conflicts and resource bottlenecks. It focuses on flexibility, enabling data allocation, pooling and instant generation, while maintaining data quality and privacy. The key features are the ease of setup, seamless integration with APIs, and the support for complex test environments. Sixpack integrates directly into QA processes so that teams can save time managing data dependencies and minimize data overlap. Its dashboard provides a clear view into active data sets. Testers can also allocate or pool data based on project needs.

A self-service platform for synthetic data, with a focus on object and human data. The Datagen Platform gives you granular control over the data generation process. Analyzing your neural networks can help you understand what data is required to improve them. You can then easily generate the data that you need to train your network. Datagen is a powerful platform that can help you solve your problems. It allows you to generate high-quality, high-variety, domain-specific, simulated artificial data. Advanced capabilities include the ability to simulate dynamic people and objects within their context. Datagen gives CV teams unprecedented flexibility to control visual outcomes in a variety of 3D environments.

Set your enterprise data free. Hazy can re-engineer enterprise data to make it easier, safer, and faster to use. Every enterprise can actually use its data. Data has never been more valuable. However, with increasing privacy requirements and tightening regulations, the majority of the world's data remains locked away and inaccessible. Hazy has developed a new approach that allows data to be used. So you can make better decisions and develop new technologies, and provide more value to your customers. Realistic test data can be created and deployed to quickly validate new technologies and systems. This will help accelerate your digital transformation. You must generate enough high-quality, safe data to train, improve, and build your AI applications. To improve decision-making, empower teams to share and generate accurate intelligence and analytics on products, customers, operations, and other factors.

The MDClone ADAMS Platform provides a powerful self-service data analysis environment that enables collaboration, research and innovation in healthcare. Our pioneering platform allows you to access insights in real-time and securely. It also allows you to explore healthcare data in a dynamic, real-time manner. Put your organization on a path of continuous learning to improve care, streamline your operations, promote research, and drive innovations, ultimately empowering your entire healthcare ecosystem. Synthetic data can be used to enable collaboration between teams, organizations and even third parties. This will allow them to dig deeper into the information that they need, when they need it. Life science organizations can identify promising cohorts of patients for post-marketing analyses by accessing real-world, internal data. Discover a fundamentally new approach to unlocking healthcare information for life sciences.

A flexible and accurate platform for the generation of synthetic data. Create the data you require for your perception system within minutes. Design scenarios with infinite variations for your use case. Create your datasets on the cloud. Anyverse is a scalable software platform that allows you to train, validate or fine-tune a perception system. It offers unparalleled computing power to generate all of the data you require in a fraction the time and cost as compared to other real-world workflows. Anyverse is a modular platform which enables efficient scene creation and dataset production. Anyverse™, Studio is a standalone application with a graphical interface that manages All Anyverse functions including scenario definition, variability setting, asset behavior, dataset settings and inspection. Data is stored on the cloud and the Anyverse cloud is responsible for scene generation, simulation and rendering.

Aera's Cognitive Operating System™ is the digital brain for your company. It brings agility, scale, accuracy, and speed to your decision-making. This is possible by dynamically orchestrating four fundamental architectural pillars for Cognitive Automation: data science, process, change, and science. Aera's real-time crawling technology is a patent that collects, harmonizes, and augments billions from complex enterprise systems and other data sources. All this while keeping context. The result is that 100% of the internal and external data required to decision automation and enhancement are made available in real-time. Aera implements advanced techniques such as optimization, prediction, modeling, and artificial intelligence (AI), within the context of a decision. The patented models incorporate domain expertise with thousands of predefined measures that can be used in all areas of the business. You can either bring your own or build one of our pre-packaged algorithms.

Create, transform, or analyze any text data within your spreadsheet. Automatically normalize addresses, separate column, extract entities, etc. Rewrite SEO content or blog posts. Generate product description variations. Create synthetic data such as first/last names and phone numbers. Create bullet-point summaries and rewrite content in fewer words. Sort product feedback into categories, prioritize sales leads, find new trends, etc. Charm provides several templates to help people complete common tasks faster. Use the Summarize With Bullet Points Template to create short bullet-point summaries for long content. Use the Translate Language Template to translate existing content in another language.

You can quickly create high-quality images, panoramas and standard or 360deg VR video videos for clients. Twinmotion is a powerful engine that combines intuitive icons with unreal engine power. It is ideal for professionals in architecture, construction, urban planning and landscaping. You can view and edit your scene in real-time at the same high quality level as the final rendering. Twinmotion offers realistic lighting and shadowing based on physical factors. It also includes over 600 PBR material that react to your environment. You can also use effects such as depth of field, lens flare and vignetting to achieve the look you want. No matter how complex your project is or how much CG experience you have, Twinmotion's intuitive interface makes it easy to use and learn. Drag and drop materials, props, and lights; simply drag a slider to change the weather, season, or day.

Meteobot, an automatic weather station, provides you with real-time data about the weather conditions and soil conditions on your fields. Meteobot stores all data securely for an unlimited time. There are no gaps and omissions as there would be with manual record keeping on paper. Meteobot gives you a local forecast for the area that you are interested in. The forecast is for a period of 10 days. Data is provided hourly for the first two days and in 6-hour intervals from day three to day 10. The forecast is global and its spatial accuracy is eight kilometers. The European Center for Medium Range Weather Forecasts, whose weather models were named among the most precise in world, generated the forecast. Meteobot, which is a farming-specific software, keeps weather station data on your fields. You only need to draw the boundaries of your field on the map.

IRender nXt can be used to improve SketchUp model presentations for clients. High-quality architectural renderings can be created using IRender nXt to enhance client presentations and proposals. Don't wait for your 3D renderings. Deliver projects on time. Multiple jobs can be rendered simultaneously. Your computer will not be able to render your 3D models. Instead of upgrading your computer, use our fast machines. IRender nXt can create a photo-realistic rendering in just one click. IRender nXt can be used to render high-quality images without having to modify the SketchUp model. It is easy to create light fixtures, and then add them to a SketchUp model. IRender nXt supports point, spot, ceiling and floor lighting. IRender nXt, a powerful plugin that creates high-resolution architectural renders from SketchUp models, is available. IRender nXt integrates materials, lighting, and other components with an intuitive interface.

Anolytics offers data annotation services for image, video and text for machine learning and AI based computer vision. Anolytics provides low-cost annotation services for machine learning and the development of artificial intelligence models. It provides the annotated data in text, images, and videos using various annotation techniques. It also ensures the quality and accuracy. It is highly skilled in Image Annotation, Video Annotation, and Text Annotation. Anolytics provides all the leading data annotation services used for data training in machine learning or deep learning. It provides Bounding boxes, Semantic Segmentation and 3D Point Cloud Annotation as well as 3D Cuboid Annotation. These services are useful in fields such as healthcare, autonomous driving, drone falying, security surveillance, agriculture, and retail. Anolytics offers a scalable solution that is available quickly and at a cost-effective price for clients around the world.

Sweet Home 3D is an interior design tool that allows you to draw the plan of your home, arrange furniture and view the results in 3D. Sweet Home 3D will calculate the holes in your walls when you drag doors and windows into the plan. You can add furniture to the plan by searching a catalog that is searchable and extensible. It is organized by categories like kitchen, living room or bedroom. You can change the color, texture, size and orientation of walls, floors, ceilings, and flooring. You can view the home from an aerial view or navigate through it from a virtual visitor's point of view. You can create photorealistic images and videos, and adjust lighting and sunlight effects according to time of day and geographical location. Sweet Home 3D can be extended with Java plug-ins or a derived version that uses its Model View Controller architecture.

AppReal's AppReal team has created augmented reality fashion apps that are photo-realistic and augmented for watches, furniture, and spectacles. This Android app allows you to see 3D models of watches on your wrist. It is only available for retail outlets. Anyone who enters a store should be able to view all the designs. The wrist detection web app allows you to try on watches. With the help of AI and computer vision, your wrist is tracked. A 2D watch image will be placed on the wrist. You can also try it online. The Android wrist detection app allows users to view all watches online and have them displayed on their wrists. The mobile app offers photo-realistic 3D models and augmented reality models for furniture, glasses, watches, as well as other products.

VisionLib is an SDK for multi-platform augmented reality tracking. It enables 3D object tracking with enhanced model tracking for the most important AR applications. You can extend the context, augment objects, and blend, overlay, or pin digital information onto real life. VisionLib's Model Tracking provides the basis for many AR applications that require high-performance object recognition and precise tracking. This is crucial to digitalizing industrial processes. AR changes the way we work and learn by visualizing things that are impossible to see otherwise. AR bridges the gap between digital and real to deliver crucial information in the context for work. You can use CAD and 3D data for object tracking. VisionLib supports multiple file formats. VisionLib can be used as a Unity or native plugin, and can be integrated into individual apps or entire platforms.