Partnership will enable organizations to make data-driven decisions at the edge
Hivecell, the Edge-as-a-Service company, and Hasty, the leading end-to-end platform for vision AI, announced a partnership that will be deployed on-premise and used in hyper security-sensitive environments for high-stakes vision AI applications. By leveraging the two solutions, organizations can more efficiently make relevant, data-driven decisions at the edge.
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Hivecell is the premiere Platform-as-a-Service for edge computing, offering simple, scalable solutions that take the compute power out of the cloud and place it at the true edge. Edge computing solves the latency, bandwidth and delay problems that occur when organizations rely solely on the cloud, enabling businesses to deploy compute power to thousands of locations outside of data centers.
Hasty’s unified agile ML platform allows companies to make vision AI a core competency with its tool, enabling customers to navigate through the entire machine learning workflow. To aid the company’s strategic priorities and digital transformation efforts, instead of transporting large amounts of data to the cloud, Hasty will offer power at the edge from a single packaged solution deployed on the Hivecell platform.
“Due to increasing competition, high-end manufacturers and producers are under pressure to differentiate their products to gain market share and build new revenue streams. On its own, Hasty’s solution resolves many challenges of machine learning,” said Jeffrey Ricker, CEO at Hivecell. “By combining our two platforms, customers will now have a fully on-premise deployment solution. We’re excited to partner with Hasty to expand their services to the edge use-cases and new industries.”
“Our goal is to help our users implement a ‘vision AI Flywheel,’ where this self-learning system can deliver a reliable, robust value-added service for their clients,” said Tristan Rouillard, CEO at Hasty. “Working with Hivecell is exciting because we remove a critical roadblock in deploying this Flywheel to the edge. Together, we can reduce our customers’ time to market from months to weeks or even days.”
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