Discover the power of the  Edge Data Platform

Decentralised structure & scalable process to Deliver Smart Pipelines Relevant Data Lower Costs

Smart Pipelines

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.

Relevant Data

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.

Lower Cost

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 Platform Edge to Core to Cloud Data Fabric


Following are the benefits of Akridata solution

  • Modernize data ops for AI
  • Boost productivity for data scientists and ML teams
  • Lower CapEx and OpEx for IT departments and site operators


The Akridata solution is used in diverse areas like

  • Autonomous and assisted driving
  • Smart cities, medical imaging, genomic analysis
  • Cashier-less retail, and manufacturing

Got Edge Data?


Data is everywhere

According to Gartner, 75% of enterprise-generated data will be created and processed at the edge, outside a traditional centralized data center or cloud. It is an end-to-end problem and opportunity, where is generated and used by globally scattered edge devices and services.


Data is massive

Advanced AI and Autonomy need massive amounts of curated data. Most disruptive AI use cases involve visual sensors which produce tens of terabytes per day resulting in explosive volumes. Need for a solution to efficiently process, store and access data at scale for AI use cases.


Data impacts everything

Complexity means cost, and a continuous flow of decentralized opaque data amplifies the problems. 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.

Trusted By Leaders In Technology

Designed for Data Science teams to accelerate the path to building Production Grade AI models