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    Gretel

    AI Solution

    Use Gretel's APIs to fine-tune custom AI models and generate synthetic data that's as good or better than what you already have. On-demand. Start for FREE.

    Gretel is solving the data bottleneck problem for AI scientists, developers, and data scientists by providing them with safe, fast, and easy access to data without compromising on accuracy or privacy. Designed by developers for developers, Gretel’s APIs make it easy to generate anonymized and safe synthetic data so you can preserve privacy and innovate faster. You can learn more about synthetic data from Gretel's engineers, data scientists, and AI research team on our blog: https://gretel.ai/blog Website https://gretel.ai Industry Software Development Company size 11-50 employees Headquarters San Diego, California Founded 2019 Specialties Generative AI, Synthetic Data, Machine Learning, Privacy, and AI Smart, Safe, Synthetic Data On Demand Gretel provides a complete synthetic data platform for developers and ML/AI engineers Get started Contact sales -> Synthetics Icon Synthetics Generated unlimited data based on real world examples. Transform Icon Transform Perform privacy-preserving transformations on datasets. Classify Icon Classify Identify sensitive data such as PII with NLP. Gretel’s APIs Have You Covered Our APIs provide you with a complete toolkit for synthetic data. Use Gretel's tools in combination or standalone and set the level of data privacy vs data utility you need for your workflows. Produce Scalable Privacy for your Data with Gretel APIs Gretel Synthetics, Transform, and Classify combined enable you to cover a myriad of use cases for structured or unstructured data; label and classify, anonymize and transform, and generate privacy-proven datasets at scale. Use Named Entity Recognition to identify and label PII. Classify Anonymize, encrypt or remove PII and sensitive data. Transform Produce statistically accurate, privacy protected training data for AI models. Synthetics Tune data privacy versus utility with Gretel Privacy Filters. Synthetics Generate differentially private datasets from your real-world data. Synthetics The Gretel Synthetics Platform Designed by developers for developers and based on our open source core. You can access flexible and scalable APIs through Gretel’s online console, CLI, SDK, or connectors. Synthetics Generate unlimited synthetic data. Provide the highest level of privacy for your data with Synthetics. Balance privacy with utility for the data you generate using Gretel’s Privacy Filters and Synthetic Quality Reports. Explore Synthetics Data generation processes with Gretel Console. Transform Perform privacy preserving transformations on datasets at scale. Combine with our Classify API to easily anonymize and transform sensitive data to remove risk and minimize compliance requirements. Explore Transform Fields detected and transformed. Classify Identify PII with advanced NLP detection. Our advanced NLP detectors can identify over 40+ common entities across large datasets. Extend detection with custom REGEX identifiers specific to your organization. Explore Classify Gretel's APIs automatically fine-tune custom AI models and generate synthetic data that's as good or better than what you already have. On-demand. Start for free Request a demo -> Why Gretel? We help developers unlock synthetic data. The Gretel community is achieving more with safe access to the right data. Explore how -> 150B+ Records synthesized 500k+ SDK Downloads 21k+ Developers using Gretel Cloud 10× Quicker access to high-quality data The complete synthetic data platform. Generate accurate and safe synthetic data, on demand. Gretel’s APIs make it simple to generate anonymized and safe synthetic data so you can innovate faster and preserve privacy while doing it. Train Train generative AI models that learn the statistical properties of your data. Read the docs -> Validate Validate your models and use cases with our quality and privacy scores. Read the docs -> Generate Generate as much data as you need, when you need it. Learn about Synthetics -> Developer ready, product focused. Get started with synthetic data in less than five minutes. Start generating data using our sample notebooks or with our web app 
for a no-code experience. 5 lines of code With Gretel’s Python libraries you can generate synthetic data in just a few lines of code. 7 clicks Sign up instantly with the Gretel Console and start generating synthetic data, no code required. Using AI to Create Safe Synthetic Datasets for Genomics. Synthetic data addresses the deep privacy concerns working with genomic data, enabling faster sharing of data and unlocking innovation. Read the case study -> Creating Synthetic Time Series Data for Global Financial Institutions. We demonstrate that Gretel’s synthetic data can be as accurate as real-world data used for machine learning classification tasks. Read the case study -> “Today, working with data is hard. Gretel is making it easier. By building flexible, secure, and easy to deploy tools to support data driven developers, Gretel will open a world of progress across industries.” Max Wessel / EVP at SAP Slide 3 of 3. Run Gretel anywhere. Implement privacy everywhere. Gretel Cloud runners keep your data contained by running Gretel containers in your own environment or scale out workloads to the cloud in seconds. Gretel Cloud Run in the cloud Using our cloud GPUs makes it radically more effortless for developers to train and generate synthetic data. Scale as you grow Scale workloads automatically with no infrastructure to set up and manage. Collaborate with your team Invite team members to collaborate on cloud projects and share data across teams. ...or in your environment. Keep data on-prem. Your data never leaves your environment. Runners can generate and transform locally, orchestrated by our APIs. Manage workers with the Console. Track progress and manage local workers from anywhere with the Gretel Console. Get Started Ready to try Gretel? Start making your job easier instantly. Get started in just a few clicks with a free account. Start for free Request a demo -> Join the Synthetic Data Community -> Join our Discord to connect with the Gretel team and engage with our community. Read our docs -> Set up your environment and connect to our SDK. Product Why Gretel? Synthetics Transform Classify Evaluate Documentation FAQs Gretel Cloud Gretel Synthetics Company About us Team Careers (WE'RE HIRING!) Blog Contact Media News Videos Podcasts Social GitHub Twitter LinkedIn YouTube Community Synthetic Data Community Code of Coduct Legal Privacy Policy Terms of Service Acceptable Use Policy Responsible Disclosure License Copyright © 2023 Gretel Labs. All rights reserved. API Status: All Systems Operational

    About Gretel

    Gretel is a software development company that specializes in generative AI, synthetic data, machine learning, privacy, and AI. Founded in 2019 and headquartered in San Diego, California, Gretel is solving the data bottleneck problem for AI scientists, developers, and data scientists by providing them with safe, fast, and easy access to data without compromising on accuracy or privacy.

    Gretel's APIs help developers create and fine-tune custom AI models, as well as generate synthetic data that is as good or better than the real data they already have. The synthetic data is based on real-world examples and is generated on demand. This makes it easy to preserve privacy, enhance data quality, and innovate faster. The synthetic data platform provides unlimited synthetic data generation, privacy-preserving transformations on datasets, and identification of sensitive data such as PII with NLP.

    The mission of Gretel is to help developers unlock synthetic data, achieve more with safe access to the right data, and accelerate progress across various industries. The company caters to developers and ML/AI engineers who seek scalable privacy for their data. Gretel's technologies offer a myriad of use cases for structured or unstructured data, enabling developers to label and classify, anonymize and transform, and generate privacy-proven datasets at scale.

    Gretel's APIs provide a complete tool-kit for synthetic data. The Gretel synthetics, transform, and classify APIs combine to enable developers to cover a variety of use cases for structured or unstructured data. The APIs are designed by developers for developers and are accessible through Gretel's online console, CLI, SDK, or connectors. Gretel's Privacy Filters enable developers to tune data privacy versus utility by balancing privacy with the data they generate. Additionally, the APIs use Named Entity Recognition to identify and label PII, thereby keeping data safe.

    Gretel offers a complete synthetic data platform that provides accurate and safe synthetic data on demand. The company's APIs make it simple to generate anonymized and safe synthetic data, thereby enabling developers to innovate faster while preserving privacy. Gretel's Python libraries, sample notebooks, and web apps are easily accessible to developers who seek to generate synthetic data quickly and efficiently.

    Gretel's technology is widely used by the community, with 150 billion+ records synthesized, 500k+ SDK downloads, and 21k+ developers using Gretel Cloud. The company's cloud runners keep data contained by running Gretel containers in the developer's own environment or scaling out workloads to the cloud in seconds. The Gretel Cloud enables developers to train and generate synthetic data, scale workloads automatically with no infrastructure set up and manage, and collaborate with team members on cloud projects.

    In conclusion, Gretel is an innovative software company that is leveraging synthetic data and AI to help developers and ML/AI engineers unlock previously inaccessible data. The company is providing a complete synthetic platform that is safe, scalable, and privacy-preserving. Based on Gretel's APIs, developers can create and fine-tune custom AI models, as well as generate synthetic data that is at par or better than the real data they already have. Its technologies provide a complete tool-kit for synthetic data that makes it easy to preserve privacy, enhance data quality, and innovate faster. Through the Gretel Cloud, developers can train and generate synthetic data, scale workloads, and collaborate with team members on cloud projects. Overall, Gretel is revolutionizing the way data is accessed and used by developers while simultaneously preserving privacy and data quality.

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