We work with your team so leaders decide from one set of numbers everyone trusts. Then AI takes routine work off people's desks and speeds up daily operations, with a person approving what matters.
Each point has a different underlying issue and calls for a different first step. Which one looks most like your organization?
The AI ambition is ahead of the data foundation.
The roadmap and use cases exist, but the data AI needs is still spread across ERP, CRM, documents and spreadsheets.
What gets in the way
The data foundation is in place, and the way people work has barely changed.
Teams still search, reconcile numbers and build reports by hand. The next step is intelligence people can query directly.
What this adds
The AI works in a demo and is still outside daily operations.
Production workflows cross applications and depend on permissions, rules, approvals and human judgment. Getting there takes engineering around the model.
What production AI needs
The first step can be small: start with a readiness session, or bring one workflow and we map how Data + AI could improve it.
We assess the current environment across data, architecture, governance, AI, security, integration and operational readiness. The session delivers a practical picture of what is ready today, what needs work, and where the highest-value opportunities are.
Deliverables
Bring one process that takes too much time, needs heavy manual coordination or depends on institutional knowledge. We map the systems, data, decisions, documents and people involved, then outline how the data foundation and Claude could support or automate it.
Deliverables
Viewnear was one of 41 partners, from a network of more than 14,000, that Snowflake named on its CoCo Global Partner Momentum wall at Summit 2026.
Quoted in CRN, 3 storiesRead the coverage
Premier & Select Services Partner
The Premier and Select services-partner tiers of the Snowflake Partner Network, held across the USA and LATAM.
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CoCo Preferred Partner
CoCo is Snowflake's own coding agent. The Preferred program names the partners building with it.
SnowPro-certified team
Architects and engineers certified by Snowflake. They build data foundations and the Cortex AI layer that runs on them.
Advisory and agentic engineering for teams that already have part of the work in hand, and a full transformation when the data foundation and the agents both need to be built.
We find where data and AI pay off first, and plan the build with your team.
Snowflake Premier & Select PartnerCoCo Preferred Partner, 10 SnowPro certifications on the team
When the use case is clear, we engineer the agents inside your environment, on your data.
Claude Certified Services Partner15+ Claude Certified Architects on the team
From scattered data to agents running in daily operations, with the data foundation built first.
Snowflake Premier & Select PartnerCoCo Preferred Partner, 10 SnowPro certifications on the team
Claude Certified Services Partner15+ Claude Certified Architects on the team
Each engagement can run as a fixed-cost build, time and materials or a dedicated team, and the build can continue as a managed service.How pricing worksHow an engagement runs
Our team is already in place, so the work starts right after discovery.
A nearshore team of data and AI architects and engineers in Monterrey, Mexico and Austin, Texas, working your business hours year round. The budget goes straight into use-case sprints.
We are data and AI architects, engineers and delivery leads, working from Austin and Monterrey for clients across the USA and LATAM.
Full-time · Remote (USA, LATAM)
Design and build data and AI solutions on Snowflake for enterprise clients, from pipelines and data models to AI use cases running in production.
View roleThirty minutes with someone who would own the work, and a straight answer on whether we are the right fit.
