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Chetan Venkatesh is a veteran of data-infrastructure startups who founded the virtualization and software-defined storage company Atlantis Computing in 2004, serving as its CTO and later CEO until 2017, where the team pioneered deduplication and RAM-based storage acceleration. He co-founded Macrometa in 2017 with Durga Gokina, with whom he had worked for close to a decade. As CEO he has led Macrometa's development of a globally distributed data network and edge-compute platform built on conflict-free replicated data types (CRDTs) for real-time applications.
Durga Gokina worked with Chetan Venkatesh at Atlantis Computing as chief architect and director of engineering, helping build one of the industry's early software-defined storage accelerators. He co-founded Macrometa in 2017 and serves as Chief Architect, leading the design of the company's globally distributed data store and stream-processing engine. He and Venkatesh spent several years researching the conflict-free replicated data type (CRDT) techniques that underpin Macrometa's edge platform.
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Macrometa's Global Data Network is a hyper-distributed cloud that runs across more than 175 edge points of presence worldwide. It combines a multi-model data store (documents, key-value, graphs, and streams), a complex-event-processing and stream engine, and compute runtimes so developers can build geo-distributed, real-time applications. By replicating data and executing logic close to users, the GDN targets use cases in e-commerce, financial services, media, and gaming that demand consistently low latency at global scale.
PhotonIQ is Macrometa's AI-powered edge delivery network aimed at web performance and conversion. It bundles services including Prerender for search-crawler visibility, a Performance Proxy that optimizes Core Web Vitals, mobile JavaScript offload, Virtual Waiting Rooms for traffic spikes, HyperSearch for AI-powered site search, and Fingerprint for bot and fraud protection. Running on the company's distributed edge, PhotonIQ is positioned to accelerate sites, improve SEO, and handle large traffic surges without re-architecting the origin application.
1 patent on file, but none with both an extractable figure and an abstract on Google Patents yet.
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