Optimize your cloud costs by shrinking your data footprint by up to 60% without losing fidelity. Process more information with the same resources, enabling larger models and datasets.
Cut compute costs and training time by up to 60%. Iterate faster, experiment more, and bring your AI innovations to market sooner.
Speed up your data processing by up to 3x. Handle larger datasets efficiently, enabling more complex AI applications and real-time analytics.
Reduce data transfer costs by up to 75%. Democratize access to advanced AI capabilities, fostering innovation across organizations of all sizes.
Implement state-of-the-art encryption tailored for AI workflows, ensuring your sensitive AI models and training data remain secure throughout their lifecycle.
Enforce ethical AI practices with built-in governance tools. Monitor and control AI model behavior, ensuring compliance with privacy regulations and ethical guidelines.
Our secure federated learning framework allows multiple parties to train models on combined datasets while keeping raw data localized and protected.
Automatically identify potential biases in your AI models and training data. Ensure fair and equitable AI outcomes while maintaining the highest standards of data privacy.
Leverage cutting-edge machine learning algorithms to automatically identify and prioritize the most relevant data for your specific use case, ensuring your AI models are trained on high-quality, pertinent information.
Enhance your datasets on-the-fly with relevant external sources. Our system continuously updates and cross-references your data to maintain its relevance and accuracy in rapidly changing environments.
Employ advanced NLP and computer vision techniques to understand the context of your data, ensuring your AI models make better informed decisions.
Implement feedback loops that continuously refine your data relevance criteria. As your AI models evolve, so does the system's understanding of what constitutes relevant data for your specific applications.
Screen uses SOTA algorithms to discover harmful, private and sensitive information in text-based, natural language processing training data as well as LLM inputs and outputs, ensuring data is safe for use with both in-house and external AI services.
Implement state-of-the-art encryption tailored for AI workflows, ensuring your sensitive AI models and training data remain secure throughout their lifecycle.
Enforce ethical AI practices with built-in governance tools. Monitor and control AI model behavior, ensuring compliance with privacy regulations and ethical guidelines.
Enable collaborative AI development without compromising data privacy. Our secure federated learning framework allows multiple parties to train models on combined datasets while keeping raw data localized and protected.
Automatically identify and address potential biases in your AI models and training data. Ensure fair and equitable AI outcomes while maintaining the highest standards of data privacy.
Crunch uses SOTA compression optimization to reduce the physical size of Parquet files in your cloud data lakehouse. The resulting compact, standards-compliant files not only reduce cloud costs, they speed access and make processing more efficient.
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Optimize your cloud costs by shrinking your data footprint by up to 60% without losing fidelity. Process more information with the same resources, enabling larger models and datasets.
Cut compute costs and training time by up to 60%. Iterate faster, experiment more, and bring your AI innovations to market sooner.
Speed up your data processing by up to 3x. Handle larger datasets efficiently, enabling more complex AI applications and real-time analytics.
Reduce data transfer costs by up to 75%. Democratize access to advanced AI capabilities, fostering innovation across organizations of all sizes.
Signal is the first model-aware data selection and refinement solution for building higher-quality datasets. It helps AI and ML teams select the most impactful, powerful data samples for training.
Leverage cutting-edge machine learning algorithms to automatically identify and prioritize the most relevant data for your specific use case, ensuring your AI models are trained on high-quality, pertinent information.
Enhance your datasets on-the-fly with relevant external sources. Our system continuously updates and cross-references your data to maintain its relevance and accuracy in rapidly changing environments.
Employ advanced natural language processing and computer vision techniques to understand the context of your data. This ensures that your AI models can make more informed decisions based on nuanced interpretations.
Implement feedback loops that continuously refine your data relevance criteria. As your AI models evolve, so does the system's understanding of what constitutes relevant data for your specific applications.
TRUSTED BY CATEGORY-DEFINING COMPANIES
Since deploying Granica as our data efficiency layer, we’re seeing a 10:1 reduction in our S3 API costs without any performance impact to our customers and without any re-architecting. What Granica offers is unique in the market and working with the Granica team is a game changer for our business.
As the leading location technology platform, we are a data-intensive business that heavily utilizes AI. Granica can handle our petabyte-scale demands. The efficiencies we’ve experienced since deploying Granica has allowed us to reallocate investments back into our business.
Since deploying Granica's AI Efficiency Platform, we're realizing a storage savings outcome of 40% on over 100 million objects per day of data all while keeping the data secure and encrypted in our existing data stores. With Granica, we've prevented spiraling cloud costs while making our platform even more customer-centric.
Since deploying Granica as our data efficiency layer, we’re seeing a 10:1 reduction in our S3 API costs without any performance impact to our customers and without any re-architecting. What Granica offers is unique in the market and working with the Granica team is a game changer for our business.
As the leading location technology platform, we are a data-intensive business that heavily utilizes AI. Granica can handle our petabyte-scale demands. The efficiencies we’ve experienced since deploying Granica has allowed us to reallocate investments back into our business.
What’s truly meant by the term AI-ready data? Download Gartner's research report to learn how AI efforts are evolving the data management requirements for organizations, compliments of Granica.
Get the latest Gartner® research: A Journey Guide to Delivering AI Success Through AI-Ready Data 
