Built with ClaudeManufacturing · 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
The hard part of AI is the data. We build both.
We architect the data foundation, govern what moves through it, and put AI to work at enterprise scale: the decisions, the operations, and the systems that run them.
Migrate & modernizeGovern data people trustPut AI to work
Snowflake Partner Network Premier Services PartnerClaude Certified PartnerSnowPro-certified team
Leading teams
build on governed, AI-ready data
Built with Claude
Recognition
Snowflake put 41 partners on the wall at Summit. Viewnear made the cut.
“Viewnear has been building enterprise-grade production AI systems with governed Snowflake data anchored on Anthropic Claude.”
Eduardo Ramos, in CRNRead our coverage5 stories
What we offer
Every layer of the stack, one accountable team
From migrations off legacy systems to governed data to AI in production, one team end to end on Snowflake.
№ 01
AI Analytics on Snowflake
Put governed AI to work: Cortex Analyst, Cortex Agents and Snowflake CoWork turn governed data into cited answers, and into the next action.
Learn more→№ 02
Cloud Architecture & Data Foundation
The AI-ready foundation: governed, built on Snowflake, and ready to scale, the single source of truth every model and agent depends on.
Learn more→№ 03
Data Engineering & Pipelines
Always-current, trusted data: governed pipelines that unify every source, so analytics and AI run on inputs worth staking decisions on.
Learn more→№ 04
Embedded Analytics
Differentiate the product: Cortex-powered data products embedded into apps and client workflows, turning insight into a competitive edge.
Learn more→№ 05
Capability Development
Compound the advantage: we embed with the team and build the in-house fluency to scale AI use cases long after launch.
Learn more→№ 06
Data & AI Strategy
A board-ready roadmap for the agentic enterprise: where data and AI create measurable ROI, sequenced by value and grounded in what the data supports.
Learn more→- Fixed cost: a defined outcome at a set price
- Time & materials: discovery and evolving scope
- Team augmentation: certified depth alongside in-house teams
- Discovery fixes scope; foundations go live in 8–16 weeks
Low-risk by design
A big bet that doesn't feel like one
The way we engage is built to de-risk the decision itself, so committing to data & AI never means committing blind.
Proof01
Prove it first
A focused proof of concept before the full build. The decision to scale rests on evidence, not a slide deck.
Control02
The sponsor stays in control
Regular steering, a shared backlog, and clear decision gates keep scope, budget, and priorities in-house.
Pace03
Value from sprint one
Use-case-driven sprints reach production in 8–16 weeks, with working software demoed from the very first sprint.
Run04
Documented, then kept improving
Documentation and runbooks ship with the build. From there the team runs it, or Viewnear keeps running and improving it as a managed service.
8–16 weeks to production with the team already in place, instead of hiring and ramping one first.
A nearshore team with SnowPro-certified engineers in Monterrey, Mexico and Austin, Texas, on Central Time and your working day, with enterprise depth at every level: use-case sprints scoped by discovery, with no hiring runway to fund first.
Insights
Recent thinking, and the proof behind it.
Join the team
Certified people, growing this practice.
Snowflake and Claude architects, engineers and delivery leads, working across the USA and LATAM from Austin and Monterrey.
Full-time · Remote (USA, LATAM)
See all open rolesSenior Data & AI Engineer
Design, build, and scale modern data and AI solutions on Snowflake, turning complex business operations into trusted, production-ready systems.
View roleRather just ask someone?
Book 30 minutes with the person who would own the work. No deck, no obligation, and a straight answer on whether we are the right fit.