Partnerships

Two partner networks. One team that answers for the build.

Snowflake is the agentic control plane: governed data, Cortex AI and Cortex AI Gateway. Claude is the model that runs inside it and around it. Viewnear holds a recognized standing in both networks and builds agentic solutions that start with the right data.

Snowflake's CoCo Global Partner Momentum wall at Summit 2026

Snowflake Premier Partner badge and Snowflake Select Partner badge

Snowflake Partner Network

Premier & Select Services Partner

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Governed data and the AI layer, on Snowflake

Premier & Select Partner and CoCo Preferred Partner. Migrations, governed foundations, and Cortex AI through Cortex AI Gateway, delivered by SnowPro-certified architects and engineers.

The Snowflake partnership

A craftsman measuring metalwork at Magnolia Doors

Claude Partner Network

Certified Partner

Agentic solutions, built with Claude

A Claude Certified Partner in the Claude Partner Network. Claude Certified Architects putting Claude on the work still done by hand, with MCP connectors into the system of record and a person approving what matters.

The Claude partnership

Built together: agentic solutions that start with the right data, governed on Snowflake and reasoning with Claude.

Build vs. partner

Three ways to get there

Every leader weighs building in-house, hiring a global systems integrator, or partnering with a specialist. Here is where the three models differ.

	In-house build	Global systems integrator	Viewnear
Time to production	Hiring and ramping a team before the build starts	Mobilization through a large delivery process	8–16 weeks to first value, demos every sprint
Who does the work	Whoever can be hired and retained	Staffed from a large bench, often in layers	Certified, versed at every level
Snowflake expertise	Learned on the job, funded in-house	One of many platforms they cover	Premier & Select Partner specialists, end to end
Agentic AI expertise	Pilots on whichever model the team already knows	One of several AI practices, staffed per account	Claude Certified Partner, Claude agents in production
Accountability	Split across internal teams	Often split across practices and subcontractors	One team, owned start to finish
After go-live	Knowledge walks out with attrition	The engagement continues at day rates	Documented and run: by the team, or by Viewnear as a managed service

Time to production

In-house: Hiring and ramping a team before the build starts
Global SI: Mobilization through a large delivery process
Viewnear: 8–16 weeks to first value, demos every sprint

Who does the work

In-house: Whoever can be hired and retained
Global SI: Staffed from a large bench, often in layers
Viewnear: Certified, versed at every level

Snowflake expertise

In-house: Learned on the job, funded in-house
Global SI: One of many platforms they cover
Viewnear: Premier & Select Partner specialists, end to end

Agentic AI expertise

In-house: Pilots on whichever model the team already knows
Global SI: One of several AI practices, staffed per account
Viewnear: Claude Certified Partner, Claude agents in production

Accountability

In-house: Split across internal teams
Global SI: Often split across practices and subcontractors
Viewnear: One team, owned start to finish

After go-live

In-house: Knowledge walks out with attrition
Global SI: The engagement continues at day rates
Viewnear: Documented and run: by the team, or by Viewnear as a managed service

Out in the fieldMore from the team

The Viewnear team behind their data + ai booth at a Snowflake event — Customer conversations at the booth

A Viewnear team member at the Snowflake Data for Breakfast welcome signage — Snowflake Data for Breakfast

The Viewnear team and partners gathered for a team dinner — Dinner with the team

Put a certified partner on it.

Tell us where the organization stands, whether that is Snowflake procurement, a migration, or a process that should be running with an agent, and we'll bring the certified team to move it forward.

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