GRETEL BY THE NUMBERS
Why Synthetic Data?
GRETEL + GOOGLE CLOUD
SAFE MODel TRAINING
UNLOCKING DATA
SEE IT IN ACTION
Gretel's synthetic data is available to all Google Cloud users.
Gretel, using Google Cloud, has created a seamless experience to generate safe, synthetic data for generative AI. Get started building the next generation of enterprise AI with Gretel and Google Cloud. Seamlessly integrate Gretel’s synthetic data platform to power your ML initiatives with Vertex AI, BigQuery, and the rest of Google Cloud Gemini.
The Synthetic Data Solution
The Data Challenge
A DATA BOTTLENECK
Today, artificial intelligence and machine learning (AI/ML) research and development teams are blocked by a solitary point of failure — a lack of fast access to high-quality data. Referred to as a “data bottleneck,” the problem persists across industries for multiple reasons:
Gretel’s synthetic data platform seamlessly integrates into your existing data and AI/ML workflows, providing access to safe, high-quality data for generative AI. With connectors to leading cloud storage providers, popular databases, and more, you can get started generating data on-demand in minutes.
Unlock safe, AI-ready data with Gretel
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Find out more
Customize domain-specific datasets for fine-tuning language models
Customize
Generate safe, high-quality AI-ready datasets
Generate
Anonymize PII/NER datasets
Anonymize
AnonymizE
Generate
Customize
LEARN MORE
Learn how developers are using Gretel to build better models faster without compromising data privacy.
REAL DATA WITHOUT REAL-WORLD Restrictions
Synthetic data from Gretel allows you to create safe, privacy-preserving datasets—when and where you need them. Plus, you can share it with BigQuery for easy integration into existing AI/ML workflows. Assess the quality and privacy of your synthetic data output with Gretel's built-in data privacy and data quality scoring.
Safe data on-demanD
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Why Synthetic Data?
• Data scarcity
• Data quality
• Data privacy
Endless Applications
To overcome the data bottleneck, organizations use synthetic data to power their machine learning models safely and efficiently. Whether you need to anonymize sensitive data, augment limited data, or generate data from scratch, Gretel’s platform can help.
Empowers Innovation
Synthetic data accelerates access to data in days rather than months, so you can develop applications 10x faster and improve model performance—in some cases by 50% or more.
Anonymize records for application building
Enable safe data sharing for research + collaboration
Safely train and test domain-specific AI
Augment limited ML training datasets
Ensure data privacy compliance
Safely evaluate SLMs and LLMs
Find out more
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SAFE MODEL TRAINING
Extracting the enterprise value of generative AI requires training models on company-specific proprietary data. Gretel provides an easy way to produce high-quality synthetic versions of this data at scale, while eliminating any privacy concerns.
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GRETEL + GOOGLE CLOUD
WOULD LIKE TO ADD A SCREENSHOT OR VIDEO OF THE GRETEL + GOOGLE CLOUD INTERFACE?
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Why Synthetic Data?
Augment or create custom datasets
If data is the new oil, synthetic data is the new renewable energy. With Gretel, you can realistically simulate edge cases that are difficult to capture in the real world, or even generate data from scratch—giving you an edge over traditional data collection methods.
Fine-tuned models for the enterprise
Gretel is a synthetic data platform purpose-built for generative AI with a library of expertly fine-tuned models that meet the needs of any enterprise data use case. Generate custom datasets to train Google Cloud’s industry-leading Gemini models for custom, domain-specific applications.
Tunable privacy with mathematical guarantees
From built-in privacy filters to models with differential privacy, Gretel integrates the most cutting-edge privacy research, ensuring you truly receive safe, private data.
Scalability levers built for the enterprise
With Vertex AI, MLOps teams have rapid and scalable AI at their fingertips, but high-quality training data is often missing. Now, with Gretel, developers can scale their AI/ML use cases with highly-performant, safe, synthetic data.
Better data means data that's diverse, on-demand, and searingly accurate.
With Gretel, you get it all.
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GRETEL BY THE NUMBERS
Build better models with Gretel and Google Cloud
Gretel, using Google Cloud, is working to solve the data challenge by creating a seamless experience to generate safe, synthetic data at scale all within your GCP environment.
Generate data today at gretel.ai
Asking data-driven developers to exchange real-world data for synthetics requires they not only have a deep dedication to privacy, but also access to simple, intuitive solutions that return value immediately. Gretel provides all of the above.
— Chris Hymes, CIO, Riot Games
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125k
+
developers using Gretel Cloud
SDK downloads
1.1M
+
synthetic records generated
350B
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The synthetic data platform purpose-built for generative AI.
Better data for better models
Endless applications across industries such as financial services, healthcare, and more.
• Create private, compliant versions of sensitive data for AI
• Build diverse, high-quality custom datasets
• Fine-tune small language models (SLMs) and large language models (LLMs)
Fine-tune small language models (SLMs) and large language models (LLMs)
Improve AI model training with high-quality, diverse datasets
Create private, compliant versions of sensitive data for AI
Endless applications across industries such as financial services, healthcare, and more
Why Gretel’s synthetic data platform?
Gretel’s synthetic data platform seamlessly integrates into your existing data and AI/ML workflows, providing access to safe, high-quality data for generative AI. Gretel has connectors to leading cloud storage providers, including Google Cloud, popular databases, and more. You can get started generating data on-demand in minutes.
SAFE DATA
AUGMENT or CREATE
FINE-TUNED MODELS
PRIVACY FILTERS
Scalability Levers
Code generation
Natural language to SQL
Natural language to SQL
Generate synthetic data with a wide range of query examples to improve a model’s ability to translate natural language inputs into accurate SQL statements.
Code generation
Enhance a model’s ability to generate accurate code across programming tasks with synthetic training data.
Building the next generation of enterprise AI will require the ability for customers to safely leverage all of their data. This partnership will enable customers to utilize Gretel to generate anonymized and safe synthetic datasets that can support AI model development and testing, and accelerate AI driven transformations.
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— Gerrit Kazmaier, VP and GM, Data & Analytics at Google Cloud
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Better data means high-quality, safe, AI-ready data on-demand.
