Ingest: Improve efficiency for compute and storage 4X
Curate: Boost productivity for Data Scientists by 2X
Explore: Speed up time-to-access the right data by 10X
Simplify AI data operations, ingest and organize streams of data flowing from edge to core to cloud, and with a decentralized catalog and global access.
Locate the most relevant data in minutes, not days. Easily build smart pipelines to collect, organize, transform, track, and access just the right data, no matter where it is.
Save on IT costs because smart data processing at the edge, core, and cloud saves you time, tracks and protects your data, and increases the efficiency of your infrastructure.
Akridata is decentralized data management and tiering software optimized for video/radar/lidar data. It runs on all resources from edge to cloud as a software blanket that provides structure and a scalable process to deliver curated, consistent, and relevant AI-ready data sets.
Data is everywhere.
It is an end-to-end problem and opportunity, generated and used by globally scattered edge devices and services. These “points of data” maybe fixed or mobile, and increasingly also “points of sale”, engaged in edge commerce. According to Gartner, 75% of enterprise-generated data will be created and processed at the edge, outside a traditional centralized data center or cloud.
Data is massive.
Advanced AI and Autonomy need massive amounts of curated data. In AI environments, edge devices can produce tens of terabytes of complex opaque data per day in many types and formats. The need for video data That leads to unnecessary costs in data processing, data storage, and data communications.
Data impacts everything.
Complexity means cost, and a continuous flow of decentralized opaque data is a problem, more so when that data must be processed in real-time and stored for possible future use. Today, 80% of a data scientist’s time is wasted because it is too difficult and too time-consuming to ingest, pre-process, categorize, and catalog the data.
