The Pulse
Zetaris launches partner program for governed enterprise AI data
Zetaris has introduced a partner program offering training, sales resources and joint support for technology partners, systems integrators and service providers. The program is built around the company’s AI Data Harness, which connects AI a
AI.info Team · Written with AI · fact-checked ·
Zetaris announced the launch of a partner program on Nov. 4, 2026, for technology partners, systems integrators and service providers developing enterprise AI data practices. The program offers technical and sales enablement, pre-sales collaboration and resources for scoping, designing and delivering customer solutions.
The company says the program responds to demand from organizations moving AI projects from experimentation into production, and to the role partners play in that transition. Zetaris’ AI Data Harness is designed to give AI agents, AI-powered applications and traditional workloads low-friction access to governed, live business data across existing systems, without requiring a wholesale data migration first.
“Our partners are closest to those customers and those problems. The Zetaris Partner Program gives them the tools, support, and economics to build differentiated practices — and to win alongside us.” said Vinay Samuel, Founder and CEO of Zetaris.
Connecting data across existing systems
Enterprise AI applications need access to live business data distributed across systems, platforms and environments, according to the announcement. Zetaris says its platform connects and governs data in place across cloud and on-premises sources, rather than requiring organizations to first consolidate their data in a new warehouse. The release names Snowflake, Databricks, PostgreSQL and Amazon S3 as examples of those sources.
The platform’s Query Director coordinates query execution across distributed sources. A unified semantic layer gives applications and AI agents a consistent, governed view of connected data and its business context. Zetaris Cloud runs within a customer’s own cloud account using a bring-your-own-cloud model. Zetaris Enterprise can be deployed across public cloud, private infrastructure and on-premises environments.
Services and program support for partners
Zetaris identifies data assessment, source integration, semantic-layer design, Query Director configuration, application integration and ongoing managed services as potential partner engagements. The company says this work builds on customers’ existing investments rather than starting with a wholesale platform replacement.
The program includes deal registration for partner-sourced opportunities, with a process to support opportunity development. Its enablement and eLearning offer structured training to develop technical and sales competency on the Zetaris platform. A Partner Success Kit, available through the Zetaris Partner Portal, includes sales tools, co-brandable collateral, competitive positioning and use-case playbooks.
For registered, qualified opportunities, Zetaris offers pre-sales collaboration that includes joint scoping, solution-design support and access to its technical resources. Partners can also use the portal to manage their pipeline, register deals and access program materials.
Workshop and program access
The announcement also describes a Data Day workshop at the Open Agent Hackathon, cosponsored by NVIDIA, SpaceXSI and METERLESS. Zetaris CTO Michael Hay said: “AI deployments often stall before they start because getting the right data to the application is too difficult. The Zetaris AI Data Harness reduces that friction, connecting agents to distributed enterprise data so developers can focus on what they’re building.” He said the workshop helps builders connect agents to data organizations already use and move beyond isolated demos toward real-world applications.
Partners can learn more about the program and apply through Zetaris’ partner-program page. Zetaris says it was founded in 2013 and develops data technology for accessing and analyzing information across distributed systems. Its AI Data Harness connects existing data environments to analytics and AI applications, with deployment options for cloud and enterprise infrastructure.