Manufacturing · San Antonio, TX
Installation scheduling from 17 hours a week to under two
15–19 hrs
Administrative time back every week
~3 min
Was 23 to 35 minutes per installation
We build the data foundation first, then put AI to work on it.
We work on Snowflake with your team, modeling and governing the data from core systems such as the ERP and CRM. AI agents use that data to answer questions and act in the systems the business already runs.
Snowflake Premier & Select PartnerSnowPro-certified team
Results from client engagements
Recognized by Snowflake
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.
What we build
The same team takes the work from migrations off legacy systems to AI in production, all on Snowflake.
- AI Analytics on SnowflakeAgentic solutions in and around Snowflake, with Cortex Agents and Snowflake CoWork giving cited answers from governed data.
- Cloud Architecture & Data FoundationThe Snowflake data foundation your reports and AI agents run on, with security and governance designed in from the start.
- Data Engineering & PipelinesPipelines that bring ERP, CRM, and SaaS data into Snowflake on schedule, so analytics and AI work from current, reconciled numbers.
- Embedded AnalyticsCustomer-facing analytics inside your product, from embedded dashboards to Cortex answers, each scoped to the customer's own data.
- Capability DevelopmentSnowPro-certified engineers coach your team through live delivery, building the skills to run and extend its data and AI practices.
- Data & AI StrategyWe sequence data and AI use cases by ROI and by what the data can support, in a costed roadmap the board can fund.
Three engagement models
Fixed cost
a defined outcome at a set price
Time & materials
discovery and evolving scope
Dedicated team & staff augmentation
certified engineers as a separate team or as an extension of yours
Discovery fixes the scope, and foundations go live in 8–16 weeks. How pricing works
How we keep the risk low
Proof before the full build
A focused proof of concept comes first, and the decision to scale rests on what it showed.
The sponsor stays in control
The sponsor sets priorities and signs off scope and budget at each decision gate, with regular steering on a shared backlog.
Value from sprint one
Use-case sprints are scoped to reach production in 8–16 weeks, and each sprint demos working software.
Run by your team or by us
The build comes with documentation and runbooks. After go-live, your team runs it, or we operate and extend it as a managed service.
Our team is already in place, so the work goes from discovery to production in 8–16 weeks.
A nearshore team of Snowflake architects and engineers in Monterrey, Mexico and Austin, Texas, working on Central Time during your business day. The budget goes straight into use-case sprints.
Articles and case studies
Work at Viewnear
We are Snowflake architects, engineers and delivery leads, working from Austin and Monterrey for clients across the USA and LATAM.
Senior Data & AI Engineer
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 roleTalk to the people who would build it
Thirty minutes with someone who would own the work, and a straight answer on whether we are the right fit.