Rahul Ponnala
CEO & Co-Founder at Granica
Granica is the world’s first AI efficiency platform. It boosts ROI on AI by increasing the information efficiency of AI training data, freeing up resources that C-level executives and enterprise AI teams can use to reduce costs and improve AI performance and outcomes.
Powered by novel compression and deduplication algorithms, Granica’s byte-granular inline data reduction of petabyte-scale sensor, image and text AI training data runs transparently in the background, losslessly reducing AI data costs by up to 80%. Granica also provides privacy preservation for PII and other sensitive information, unlocking valuable data for safe use in downstream AI workflows.
Granica’s AI efficiency services are easily consumed as an API by developers building applications that access AI data in public cloud object storage platforms such as Amazon S3 and Google Cloud Storage. It’s the simplest and most secure way for businesses to cut the costs of AI training data without the severe trade-offs associated with archival or deletion. Improving the 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 geo-spatial intelligence, autonomous vehicles, robotics, retail and ecommerce. Category-defining companies including HERE Technologies, Quantum Metric, and Nylas use Granica to cost-effectively keep, grow and use their AI data to maximize innovation and business results from their AI initiatives.