Training Data Platform Preserves Privacy for Trusted AI, Cuts Data Lake Costs up to 80%
Granica, the training data platform for trusted AI, announced that it has joined Google Cloud Partner Advantage as a Partner in the Build engagement model, giving customers the ability to make their AI-powered data products more effective, more efficient, and safer to use.
Recommended: From Fiction to Reality: Policy Solutions for the Deepfake Threats
Granica offers customers data management solutions for AI, which assist generative and traditional AI teams in several critical areas: ensuring the privacy of sensitive data sets used in model training, improving their models, controlling their costs, and scaling up data operations. Key services include:
- A training data privacy service, called Granica Screen, which delivers highly accurate and highly cost-efficient identification, protection, and monitoring of all sensitive information in structured, semi-structured and unstructured text data in Google Cloud data lakes, at any scale. Granica Screen improves data security posture and prevents breaches, preserves privacy for safe use of data for AI/ML/analytics, streamlines data security and privacy monitoring, and enables regulatory compliance.
- A training data compression service, called Granica Crunch, which pre-processes petabyte-scale data in cloud data lakes before it is used in downstream stages and environments. It provides deep and fast data compression in order to reduce the cost to store and access data by up to 80%, while ensuring data remains “hot” and accessible.
- A training data visibility service, called Granica Chronicle AI, which facilitates data lake exploration and cost optimization with a deep focus on data access. It offers a genAI-powered text to query interface that generates relevant visualizations in graphs and tables to uncover actionable insights, fast, with no SQL knowledge required.
“Our mission is to enable enterprise AI teams to build trusted AI that is effective, efficient, and safe. We believe that a data-centric approach holds the key to unlocking the transformative potential of AI and machine learning,” said Rahul Ponnala, co-founder and CEO of Granica. “We are thrilled to join the Google Cloud ecosystem as a partner and look forward to helping our joint customers accelerate their AI initiatives and their results.”
Recommended: IWD Exclusive: Top Women in STEM Speak to CIO Influence about Challenges and Opportunities in the Industry
Granica is the training data platform for trusted AI. It boosts both trust and ROI for AI by increasing the safety, information efficiency, and overall readiness of AI training data stored in large-scale cloud data lakes. Granica provides privacy preservation for PII and other sensitive information, unlocking valuable data for safe use in downstream AI workflows while maximizing data privacy and facilitating regulatory compliance. Granica also provides novel, byte-granular compression algorithms which run transparently in the background losslessly reducing the costs to store and access petabyte-scale sensor, image and text AI training data by up to 80%. It’s the simplest and most secure way for businesses to optimize and reduce the costs of cloud data without the severe trade-offs associated with archival or deletion. Granica’s training data services are easily consumed as an API by developers building applications that access AI data in cloud data lakes. Improving the trust and efficiency of AI data and pipelines puts the focus back on model performance. Outcome-based pricing whereby organizations only pay Granica a small percentage of their realized savings eliminates the need for upfront budgeting and investment and ensures enterprises only receive upside. Granica is optimized for data and AI-intensive industries such as financial services, geo-spatial intelligence, autonomous vehicles, and retail and ecommerce. Category-defining companies including HERE Technologies, Quantum Metric, and Nylas use Granica to safely and cost-effectively use their data to maximize innovation and business results from their AI initiatives.
Recommended: IT Leaders Share their Insights on Data Privacy and Digital Transformation
[To share your insights with us as part of editorial or sponsored content, please write to sghosh@martechseries.com]
