In today’s data-driven world, companies are increasingly relying on artificial intelligence (AI) to gain insights, make informed decisions, and drive innovation. However, implementing AI pipelines at scale can be a complex and costly endeavor. That’s where Granica AI Efficiency Platform comes in. With its developer-first approach, petabyte-scale capabilities, and native integration with AWS and GCP, Granica offers a comprehensive solution to reduce costs, improve privacy, and enhance performance in AI workflows.
Efficiency: A New Layer in the AI Stack
Granica recognizes that efficiency is a crucial aspect of any AI pipeline. By optimizing data storage and access, Granica helps organizations free up valuable resources and reduce costs. The platform leverages Byte-Granular Data Reduction, a novel compression algorithm, to cut storage and transfer costs in Amazon S3 and Google Cloud Storage by up to 80%. Additionally, API costs can be reduced by up to 90%, resulting in significant savings for companies processing large volumes of data.
To estimate potential savings, Granica offers a fast and risk-free estimation tool. In just 30 minutes, users can assess their cloud environment and receive an estimate of cost savings based on a read-only sample of their S3/GCS data. This allows organizations to make informed decisions without the need for extensive budget allocation or total cost of ownership analysis.
Safeguard Your Data with Granica
Data privacy and security are paramount concerns for organizations handling sensitive information. Granica addresses these concerns with its Byte-Precise Detection feature, which delivers both high precision and high recall detection of personally identifiable information (PII) and custom sensitive data in Amazon S3 and Google Cloud Storage. This advanced detection capability is 10 times more efficient than legacy data loss prevention (DLP) solutions, allowing organizations to safeguard their data without incurring substantial scanning costs.
Granica’s safeguarding capabilities extend to data at rest and in motion. By running within the user’s environment and respecting all security policies, Granica ensures that data never leaves the organization’s infrastructure, providing an additional layer of protection against breaches and unauthorized access.
Unlock More Data, Train Better Models
One of the key benefits of Granica is its ability to unlock secured and de-identified data for downstream model training, analytics, and other applications. By safely leveraging files containing sensitive information, organizations can maximize the utility of their data without compromising privacy. Granica’s cost-effective scanning capabilities enable companies to scan all data at rest, without the need for application integration, ensuring maximum data privacy and security.
Use Cases and Trust
The Granica AI Efficiency Platform has been trusted by category-defining companies, with over 100 million GCP objects processed daily. Quantum Metric, a leading digital experience analytics platform, has seen a storage savings outcome of 40% since deploying Granica. Here Technologies, a location technology platform, has experienced significant efficiency gains that allowed them to reallocate investments back into their business. Nylas, an API platform for email, calendar, and contacts, has achieved a 10:1 reduction in S3 API costs without any performance impact to their customers.
Granica has also been featured in reputable publications such as The Wall Street Journal, 451 Research, and SiliconANGLE, further solidifying its position as a game-changer in the AI efficiency space.
Pricing and Availability
Granica offers a range of pricing options to suit different business needs. To get detailed pricing information and explore the platform’s features, interested parties can visit the Granica website and request a demo. With its developer-first approach, Granica ensures seamless integration with existing applications and workflows, making it easy for organizations to adopt and benefit from its efficiency and privacy-enhancing capabilities.
In the rapidly evolving field of AI, efficiency and privacy are essential for organizations seeking to derive maximum value from their data. Granica AI Efficiency Platform addresses these needs with its developer-first approach, petabyte-scale capabilities, and native integration with AWS and GCP. By reducing storage and API costs, safeguarding sensitive data, and unlocking secured information for training better models, Granica empowers organizations to optimize their AI pipelines and drive innovation. With its trusted track record and recognition by industry leaders, Granica is a compelling choice for companies looking to enhance the efficiency and privacy of their AI workflows.