SILICON VALLEY, Calif., Oct. 5, 2021 – Akridata, which calls itself a category-maker in Data-Centric AI, today announced the launch of the Akridata Edge Data Platform, which creates and manages smart data pipelines and AI workflows spanning Edge-Core-Cloud resources – an industry first. The Akridata software solves the problems that emerge when streams of rich data from physically scattered Edge devices create an avalanche of data that is impossible to organize, filter, access, and process. It is now common for organizations to collect tens of Terabytes of data per day from a single autonomous device.
With the first AI infrastructure platform in the Data-Centric AI category, Akridata provides a decentralized structure and scalable process to deliver curated, consistent, and relevant AI data sets. Akridata was formed in 2018 to solve AI’s data problem, a requirement to move AI out of experimentation and into production in the real-world. From automotive and transportation, to retail and healthcare, this need is a major obstacle that prevents AI-enabled products from making it to the marketplace.
“The diverse requirements of ADAS/AV (Advanced Driver Assisted Systems/Autonomous Vehicle) necessitate many elements including deep learning, cloud deployment and in-vehicle services, among others. What ties all these together is data and a massive data challenge,” said Kishore Jonnalagedda, Director of Engineering, Toyota Motor Company North America. “Akridata brings us a comprehensive and novel solution that drives efficiencies, lowers the cost and accelerates our team’s work toward our objectives. We will gain immediate leverage by automating data pipelines from edge locations to the cloud, allowing our data science and product development teams to focus on what matters most: delivering best-in-class ADAS/AV solutions and providing mobility for all.”
The Akridata solution is optimized for advanced AI workloads, providing built-in capabilities for AI-oriented data organization, transformation, and filtering tasks. It allows tracing and tracking of data from inception to inference, it enables traceable AI and broadly complements industry efforts towards explainable AI (XAI). This makes it possible to track the evolution of AI models and link the behavior of AI models in the field to the data sets that contributed to the specific model used by a specific device or service.
“Akridata is making the autonomous world possible by providing the last piece of the puzzle: an integrated Edge-Core-Cloud Data Platform that solves the data problem at the heart of all real-world AI systems,” said Kumar Ganapathy, co-founder and CEO of Akridata. “The future of AI is all about data, and our focus on AI data since inception gives Akridata a first-mover advantage. We are pleased to launch the first product in the Data-Centric AI Category, and to be working with a range of customers including industry leaders like Toyota Motor Company North America.”
Akridata’s innovative new solution enables the integration of DL with Inference, Edge Commerce, Data Governance, and enterprise applications. It was specifically developed to address the Exascale-class data challenges that come with delivering autonomous devices, unattended services, and transformative business models.
The autonomous world depends on continuous DL using large volumes of complex AI datasets. Streams of rich data — such as videos and lidar data – generated by fixed or mobile edge devices must be organized, filtered, tracked and processed across the Edge-Core-Cloud resources. Massive amounts of data are being generated at the Edge by these devices. For example, a self-driving car in its test phase can generate as much as a Terabyte of data in a single day. By 2025, 75 percent of the 175 Zettabytes of new data generated will come from the Edge.
The smart Akridata Edge Data Platform is distributed and helps optimize the processing, storage, and movement of data across the Edge, the Core, and the Cloud. The Akridata platform is available today and has been shown to deliver ten times faster time-to-access the right data and four times more efficient usage of compute and storage, and two times better productivity for data scientists and Machine Learning (ML) engineers. With Akridata’s solution, real-world AI-enabled products can be brought to life.
Akridata recently raised $15 million in Series A led by TeleSoft Partners and Accel Partners. The Silicon Valley based company has 50-plus team members and is actively hiring for a range of engineering and customer success roles. Learn more at Akridata’s career site.
Akridata will celebrate the National Exascale Day coming up on Oct. 18.
About Akridata
Akridata enables Data-Centric AI by solving AI’s Exascale-class data problem. The Akridata Edge Data Platform is the first solution spanning Edge-Core-Cloud resources that provides a decentralized structure and scalable process to deliver curated, consistent, and relevant AI data sets. Akridata was founded in 2018 by some of Silicon Valley’s most respected entrepreneurs, data scientists, and product engineers, who collectively hold nearly 200 patents and have a history of solving some of the world’s most perplexing data challenges. Akri means “Edge” in Greek.
