YData

Helping companies and individuals to become industry leaders by solving the true AI hidden secret - access to high-quality data YData is Member of Techstars-Montreal-AI-Accelerator_Logo_White_bordersmlopsgoogle_for_startups_logo-1ai_infrastructure_allienceEFL-logo-white We are Creators of Products: Fabric The Data-Centric AI workbench The fastest path to deliver AI solutions. Automated data profiling and synthetic data in a workbench that unlocks production-quality data. Synthetic data Unlock AI with synthetic data Unlimited opportunities with fast, reliable and smart generated data. Fuel data-sharing initiatives, balance and augment datasets through Generative AI and the benefits of synthetic data. Why synthetic data? Enhance ML performance and simplify compliance YData’s synthetic data helps teams to overcome the challenges associate with data collection, data sharing and data quality. Synthetic data is artificially generated data that keeps the original data properties, while ensuring its business value and privacy compliance. Synthetic generated data is an effective supplement or alternative to real-world data. Synthetic data is the future of AI. Data Catalog Explore and manage your data The home for your projects' datasets, enabled by automated data quality profiling that goes beyond pandas describe Data-Centric AI Accelerate AI through improved data Let data be the focus of AI development. Better data, improved Machine Learning performance. Start today “Data-Centric AI is the process of building and testing AI systems by focusing on data-centric operations (i.e. cleaning, cleansing, pre-processing, balancing, augmentation) rather than model-centric operations (i.e. hyper-parameters selection, architectural changes)” - Data-Centric AI Community What is data-centric AI? Focus on your data The centerpiece of Machine Learning has always been around data - "Garbage in, garbage out" had been widely used when talking about Analytics and Machine Learning, but only more recently, and with the advent of considerable and sophisticated models, data science teams have decided to shift their focus to data. Data-Centric AI is the process of iterating, collaborating, and optimizing the quality of the data to enhance the performance of models. ---- YData's mission is to help data science teams access and understand data, and improve it with significant RoI for the business. Vision YData's vision is to make the world's data accessible, understandable and actionable. Security We are in the business of providing solutions to anonymize data. Data privacy is at the core of what we stand for and as such the security of your data is our top priority. # A Data-Centric Platform [YData](https://ydata.ai/) provides a **data-centric platform** to accelerate the development and increase the RoI of AI solutions, by **improving the quality of the training datasets.** It is an end-to-end data development solution hostable on cloud environments (Azure, AWS and GCP) or on-prem. It includes a set of integrated components for data ingestion, standardized data quality evaluation and data improvement (leveraging state-of-the-art synthetic data generators and other tools), allowing an **iterative improvement of the datasets used in high-impact business applications**. The Platform has 4 main modules: - **Data Sources:** simplified, ****scalable and simple connection to a variety of object storages, relational database management systems and data warehouses, with detailed visual data univariate/multivariate analysis combined and automatic detection of potential quality issues. - **Labs:** on-demand Jupyter Lab/Visual Studio Code/H2O Flow development environments with configurable hardware (including GPUs), supercharged with the most popular DS libraries and the YData Python SDK. - **Synthesizers:** simplified interface to train, assess quality and interact with advanced Machine Learning models capable of generating data mimicking a specific Data Source. - **Pipelines:** general-purpose job orchestrator with built-in scalability and modularity combined with reporting and experiment tracking capabilities, for iterative experimentation at scale. Accessing this functionality is possible via a web-based dashboard, complemented via YData's Python SDK (offered in Labs). Products Developers Industries Resources Company Try now Generative AI for tabular data Accelerate your journey into Machine Learning with automated profiling and synthetic data generation Try now Why YData? We help Data Scientists to unlock data's full potential. Through measurable performance improvements 10x More productivity for data scientists Up to 25% Faster to deliver an AI model Up to 50% Time-to market reduction Up to 20% Model performance boost through improved data quality And trusted by the community with 12k+ Data scientists using our products daily 52M+ Downloads What do we do? Data-Centric AI platform for structured data YData Fabric empowers users to easily understand and manage data assets, synthetic data for fast data access and pipelines for iterative and scalable flows. Better data, more reliable models delivered at scale. Profile Read, understand and benchmark datasets with a single click Automate data profiling for a simple and fast exploratory data analysis. Upload and connect to your datasets through an easily configurable interface. Use the interactive data catalog to assess and track data changes and drifts. Know more → Generate Generative AI to unlock data-sharing and boost ML performance Generate synthetic data that mimics the statistical properties and behaviour of the real data. Protect your sensitive data, augment your datasets and improve efficiency of your models by replacing real data or enriching it with synthetic data Why synthetic data → Orchestrate Speed-up data preparation with experimentation at scale Refine and improve processes with pipelines - consume the data, clean it, transform your data and work its quality to boost Machine Learning models' performance. Version, compare, track and productize your data and ML flows at scale. Explore how → Ready to start? Get started with a flexible infrastructure SaaS Fabric A free SaaS option to start with Data-Centric AI at a distance of a click. Try now → Self-hosted Azure Marketplace In a few minutes deploy YData Fabric deployed in your Azure infrastructure. Deploy today → Self-hosted AWS Marketplace In a few minutes deploy YData Fabric deployed in your AWS infrastructure. Deploy today → Want to deploy on-premises? YData Fabric is a kubernetes-native solution that can be deployed in any infrastructure. Contact us to know more! Contact us What do people say about us? Testimonials “Sharing load diagrams, while maintaining data quality and simultaneously ensuring GDPR compliance has becoming a rising challenge in EDP Distribuição. Thanks to the project developed with YData we have not only proven this is possible but also much more simpler and faster“ Bernardo Almeida Innovation Project Manager at EDP What do people say about us? “It is a must-use tool for any starting data project science. It really helps to understand several key features of your data with a single line of code.“ Jonatas Cesar Data Scientist, Telefonica “The moderators respond to questions promptly and are incredibly knowledgeable of the resources available.“ Liudas Panavas Data Science PhD candidate, Northeastern University “Community is super helpful and that helped a lot.“ Dilkush Patel Technical Architect, P360 “YData allowed us to create personalized products leveraging machine learning with customers' data while complying with their privacy.“ Filipe Ribeiro CEO at Ciclo Mobility “It's a really powerful tool. I believe it's hands down the easiest way to get a 500 foot view of my tabular data, just a single line of code. It will even provide insights I would otherwise forget to check.“ Ben Epstein Founding Engineer, Galileo “The problem YData is solving is foundational and core to machine learning. It is known that the quality of data is the most important asset for an AI solution and ensuring it is something really hard and expensive.“ Paul Horn ex-SVP & Director of Research at IBM, Distinguished Scientist at NYU “YData helps us reduce development time and delivery of our data solutions, even with a small team. Using their platform, preparing training datasets is easy, straightforward, and with a great user experience!“ João Reis VP of Data at Lovys “Without YData's Platform, we couldn't create an end-to-end machine learning product with our team size. By using their platform, we could focus on building the models while they took care of everything else.“ João Fernandes CEO at MySmartWallet “It is a must-use tool for any starting data project science. It really helps to understand several key features of your data with a single line of code.“ Jonatas Cesar Data Scientist, Telefonica “The moderators respond to questions promptly and are incredibly knowledgeable of the resources available.“ Liudas Panavas Data Science PhD candidate, Northeastern University “Community is super helpful and that helped a lot.“ Dilkush Patel Technical Architect, P360 “YData allowed us to create personalized products leveraging machine learning with customers' data while complying with their privacy.“ Filipe Ribeiro CEO at Ciclo Mobility “It's a really powerful tool. I believe it's hands down the easiest way to get a 500 foot view of my tabular data, just a single line of code. It will even provide insights I would otherwise forget to check.“ Ben Epstein Founding Engineer, Galileo “The problem YData is solving is foundational and core to machine learning. It is known that the quality of data is the most important asset for an AI solution and ensuring it is something really hard and expensive.“ Paul Horn ex-SVP & Director of Research at IBM, Distinguished Scientist at NYU “YData helps us reduce development time and delivery of our data solutions, even with a small team. Using their platform, preparing training datasets is easy, straightforward, and with a great user experience!“ João Reis VP of Data at Lovys “Without YData's Platform, we couldn't create an end-to-end machine learning product with our team size. By using their platform, we could focus on building the models while they took care of everything else.“ João Fernandes CEO at MySmartWallet “It is a must-use tool for any starting data project science. It really helps to understand several key features of your data with a single line of code.“ Jonatas Cesar Data Scientist, Telefonica “The moderators respond to questions promptly and are incredibly knowledgeable of the resources available.“ Liudas Panavas Data Science PhD candidate, Northeastern University “Community is super helpful and that helped a lot.“ Dilkush Patel Technical Architect, P360 “YData allowed us to create personalized products leveraging machine learning with customers' data while complying with their privacy.“ Filipe Ribeiro CEO at Ciclo Mobility 1 2 3 4 5 6 7 8 How can we help you? YData helps adopters of AI to improve and generate high-quality data, so they can become tomorrow's industry leaders. YData Fabric for Data Scientists Faster access to sensitive data Combine scalable connectors with synthesizers to have fast and easy access to datasets spread across the organization. Try now Faster access to sensitive data Experiment and develop with no learning curve Deliver a ML flow with zero effort YData Fabric for Business Managers Improve your return on investment Optimize the allocation of your resources and teams. Your data scientists time will be invested in the faster and better development of models that are crucial for the business. Request a demo Improve your return on investment Unlock new revenue streams Reduce time-to-market and risk Previous Using Generative AI to create safe sharing synthetic data Demo of how Fabric's synthetic generated data can be as accurate as real-world data while privacy-compliant with regulations. Read the use case → Improving failure detection with Data-Centric AI Showcase of how YData boosted the performance of Predictive Maintenance with Fabric by combining data cleaning, preparation and synthetic data in scalable and orchestrated workflows. Read the case study → De-biasing credit scores with synthetic data for improved credit scoring Synthetic data addresses the challenges of highly imbalanced data behaviors, enabling the bias mitigation of datasets and the creation of a more representative dataset in Financial services for more accurate credit scoring. Read the use case → Using Generative AI to create safe sharing synthetic data Demo of how Fabric's synthetic generated data can be as accurate as real-world data while privacy-compliant with regulations. Read the use case → Improving failure detection with Data-Centric AI Showcase of how YData boosted the performance of Predictive Maintenance with Fabric by combining data cleaning, preparation and synthetic data in scalable and orchestrated workflows. Read the case study → De-biasing credit scores with synthetic data for improved credit scoring Synthetic data addresses the challenges of highly imbalanced data behaviors, enabling the bias mitigation of datasets and the creation of a more representative dataset in Financial services for more accurate credit scoring. Read the use case → Using Generative AI to create safe sharing synthetic data Demo of how Fabric's synthetic generated data can be as accurate as real-world data while privacy-compliant with regulations. Read the use case → Next1 2 3 Join the Data-Centric AI movement! Connect, profile, understand & orchestrate your data preparation flows to train models more efficiently! Improve AI initiatives performance in a iterative way. Try now Ask for demo Our most recent articles BlogFeatured 15.04.2023 10 Most Asked Questions on ydata-synthetic 10 Questions that will help you understand how to work with ydata-synthetic.... Read More Whitepaper 14.04.2023 The trade-offs of time-series synthetic data generation Synthetic data is artificially generated data that is not collected from... Read More Blog 13.04.2023 Top 5 online communities to grow as a data scientist Are you a data scientist looking to connect with other like-minded individuals,... Read More Contact Us Privacy Policy Terms & Conditions FAQ Glossary Seattle, USA