Zetaris Accelerates Agentic AI with Equinix customer story
6x
boost in AI performance66%
cost reduction for AI queriesAccelerating AI with connected data
Australian data management platform developer Zetaris leverages Equinix’s high-performance data centers and low-latency networks to connect distributed data with its modern data lakehouse for AI, enabling the implementation of agentic AI and other enterprise AI applications.
Leveraging Equinix’s global footprint and dense ecosystem of clouds and networks allows us to deliver real-time data and AI capabilities in a secure environment and scale according to our customer needs—helping them transform operations, boost productivity and enhance engagement with their customers.
Vinay Samuel CEO and Founder, Zetaris
Helping businesses realize their agentic AI visions
Zetaris revolutionizes data automation for businesses at any phase of their AI journeys. Through advanced, real-time query technology, the company connects data from various systems, platforms and locations to build its modern data lakehouse for AI.
Data infrastructure with global reach
Equinix’s global footprint of AI-ready data centers and high-performance network connectivity provides the solution Zetaris needs. “Deploying inside Equinix facilities helps us to provide reliable, secure, real-time access to the data sources our customers need when creating AI applications,” Samuel explains. By hosting its platform within Equinix data centers, Zetaris creates a location-agnostic data hub that connects directly to cloud providers, enterprise systems and edge environments.
What’s more, Equinix’s global reach means that Zetaris can serve businesses and integrate data sources no matter where the data lives or what the customers’ global data architecture looks like. This architecture ensures proximity to critical data sources, minimizing latency and enabling real-time AI decision-making.
The platform automates data connectivity, transformation and pipeline management, removing the manual effort traditionally required to prepare data for AI models. Instead of forcing data into centralized repositories, Zetaris enables AI models to access and “join” data where it resides across cloud, on-premises and edge environments.
But traditional infrastructure can’t support the company’s fast-growing customer base, distributed data sources and advanced query technologies. In an environment where businesses increasingly interact with customers through AI-driven experiences, infrastructure performance becomes critical to delivering real-time outcomes.
Infrastructure in the right location is critical.
Vinay Samuel CEO and Founder, Zetaris
Supercharging AI innovation
As Zetaris’s customer base continues to grow rapidly, Equinix provides the scalable infrastructure necessary to ensure that Zetaris continues to deliver high-performance, low-cost data connections and AI workflows. By providing a resilient and globally distributed foundation, Equinix supports Zetaris’s ability to deliver mission-critical AI services with high reliability and performance. This foundation enables the company to continuously evolve its platform and support new AI-driven business models across industries. It also enables the infrastructure backbone that Zetaris needs to keep innovating in the fast-evolving world of AI technology.
As Samuel says, Zetaris remains laser-focused on helping businesses “transform operations, boost productivity and enhance engagement” by connecting data sources and building AI applications.
Benefits
Global reach
Zetaris can connect distributed data sources spread across the world. A location-agnostic architecture enables seamless integration across hybrid and multicloud environments.
AI performance boost
Leveraging Equinix’s interconnectivity, Zetaris accelerates AI application and agent performance by six times. High-performance infrastructure and proximity to data sources enable faster query execution and real-time inferencing.
Cost savings
Integrated infrastructure and networking reduce AI query costs by two-thirds. Eliminating the need for data replication and reducing data movement significantly lowers overall processing and infrastructure costs.
Simplified data complexity
Automated data engineering eliminates the need for manual data cleaning, transformation and migration, accelerating AI deployment timelines.
Enabling real-world AI outcomes
Zetaris supports use cases such as healthcare analytics and financial decision-making, where real-time data processing enables faster, more accurate insights.