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From data strategy to AI in production, on Snowflake.

Whether you're migrating off a legacy warehouse, scaling a governed lakehouse, or grounding AI in real business context, our certified team helps you move faster and get it right the first time, across the Americas.

Migrate & modernizeGovern with Horizon CatalogBuild with Cortex AI
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Snowflake Premier & CoCo Preferred Partner · SnowPro-certified · The Americas

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Customers

Leading teams
build on governed, AI-ready data

View case studies→
A claims processing companySnowflake Cortex AI

Insurance · Americas

From hand-sorted documents to 95% accurate claims classification in seconds

Sorting documents from many insurance providers by hand caused delays, errors, and lost files. Using Snowflake Cortex AI functions like AI_EXTRACT, Viewnear automated classification and extraction, lifting accuracy from 60% to 95% and cutting per-document handling to four seconds.

Read the case study→
60→95%
Classification accuracy
4 sec
Per-document classification
Insurance: From hand-sorted documents to 95% accurate claims classification in seconds
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Your foundation

Data your whole company can trust

We stand up the governed Snowflake foundation everything else depends on, so every team works from one current, reliable source instead of five conflicting spreadsheets.

  • One governed source of truth, fed by the ERP, CRM, and SaaS systems you run
  • Pipelines that keep it fresh, tested, and trustworthy
  • Horizon Catalog governance and lineage, plus Horizon Context: one trusted business context every team and AI agent shares
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A team reviewing dashboards, reports, and charts together around one shared, governed set of data.

Applied AI

AI your teams actually use

With the data governed, AI stops being a science project. Cortex runs securely next to your data and grounds every answer in Horizon Context, so it reflects your real business, not a generic model's guesswork.

  • Cortex LLMs and ML running next to your governed data
  • Snowflake CoWork and Cortex Agents that act on decisions, not just chart them
  • Answers and actions that flow back into the tools your teams already work in
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A team collaborating with analytics and AI tools on their screens in a bright modern office.
What we offer

A single accountable team, the whole data stack

From governed foundations and trusted pipelines to Cortex-powered analytics and AI agents: strategy through production, on Snowflake.

Service№ 01

AI Analytics & Agents

Put governed AI to work: Cortex Analyst and Snowflake CoWork agents that turn your governed data into cited, decision-ready answers, embedded where leaders already work.

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Service№ 02

Cloud Architecture & Data Foundation

The AI-ready foundation: a governed, Snowflake-first data platform built to scale, the single source of truth every model and agent depends on.

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How we engage

Three ways to buy the same accountable delivery.

  • Fixed cost: a defined outcome at a set price
  • Time & materials: discovery and evolving scope
  • Team augmentation: certified depth inside your team
  • Most foundations go live in 8–16 weeks
How pricing works→
Service№ 03

Data Engineering & Pipelines

Always-current, trusted data: governed pipelines that unify every source so your analytics and AI run on inputs you can stake decisions on.

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Service№ 04

Embedded Analytics

Differentiate your product: Cortex-powered intelligence embedded into your apps and client workflows, turning your platform into a competitive edge.

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Service№ 05

Capability Development

Compound the advantage: we embed with your team and build the in-house fluency to scale your AI use cases long after launch.

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Service№ 06

Data & AI Strategy

Turn AI ambition into a board-ready roadmap: where data and AI create measurable ROI, sequenced by value and grounded in what your data can actually support, on a clear path to the agentic enterprise.

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Industries

Depth in the sectors you operate in

Sector-specific data models, governance, and compliance, built in from day one across seven industries.

All industries
Financial ServicesTechnology & TelcoManufacturingRetail & CPGMedia & EntertainmentConstruction & Real EstateEducation

The hour was never the point. The result always was.

For decades a services invoice was headcount times a rate, because the value lived in the manual work. AI has dissolved that link: the mechanical execution is increasingly automated, and the expertise that matters has moved upstream, into deciding what to build, orchestrating the agents that build it, and standing behind what they produce.

  • Automation broke the billable hour

    Hourly rates made sense when value came from people doing the work by hand. AI now absorbs most of that work, so paying by the hour quietly rewards slowness and taxes the very efficiency you came for. We attach our fee to the result, which means finishing sooner is a win on both sides of the table.

  • The expertise moved upstream

    The scarce skill is no longer typing the code or moving the data. It is framing the right problem, shaping the solution, directing the agents that execute, and judging whether the output can be trusted. That judgment runs through every engagement, from the architects who scope it to the engineers who ship it.

  • We design the outcome, then the delivery

    We begin from the result you need and build the delivery backward: experienced people on the decisions, AI agents on the execution, the balance retuned as the work shifts. You are not renting a fixed team or a block of hours. You are buying the outcome, and answering for it stays our job.

Not a cheaper way to buy services. A more honest one: the target is set up front, senior judgment runs the whole way through, and the result is ours to answer for.

JC RodriguezRené TreviñoCarlos EgremyKaren BerberAydhé MotaEduardo Javier Ramos

The people who answer for it. Meet the leadership team →

From Hours to Outcomes: the economics of AI-era data services
Read the thesis

From Hours to Outcomes: How AI Changed the Economics of Services

The full argument: what AI did to the billable hour, where the expertise actually went, and how outcome-based delivery changes what you pay for.

Read the article

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. You commit to scale on evidence, not a slide deck.
Control02

You stay in control

Regular steering, a shared backlog, and clear decision gates keep scope, budget, and priorities yours.
Pace03

Value from sprint one

Most engagements reach production in 8–16 weeks, with something useful shipped from the very first sprint.
Handover04

Built to hand over

Documentation, enablement, and a transition plan in every engagement, so your team runs and extends the work confidently.

8–16 weeks to production, vs. 6–12 months building the team in-house.

A SnowPro-certified team with enterprise depth at every level: no hiring runway, no ramp, no key-person risk.

Eduardo Javier RamosJC RodriguezRené Treviño
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Proof, not promises

A Snowflake partner enterprises trust.

Recognized in Snowflake’s CoCo Preferred Partner program at Summit 2026, alongside Accenture, Deloitte, IBM, and Capgemini.

Snowflake Premier Partner badgeSnowflake CoCo Preferred Partner badgeSnowPro Core certification badge

Everything we build inherits Snowflake’s independently audited controls (SOC 2 Type II, ISO 27001, HIPAA), extended by our governed delivery practices. How we secure your data →

Snowflake's CoCo Global Partner Momentum wall listing Viewnear among Snowflake partners
Snowflake’s CoCo Partner Momentum wall · Summit 2026

Questions

Answers to what teams ask us first

What Snowflake partner status does Viewnear hold?

Viewnear is a Snowflake Premier Partner and a Snowflake CoCo Preferred Partner, with SnowPro-certified engineers and a verified, end-to-end delivery track record across the Americas.

What does a Premier Partner unlock for us?

Co-sell alignment with your Snowflake account team, the option to procure Snowflake through us (consumption-based, so you pay for what you use), early access to new capabilities (Cortex, Openflow, Horizon Catalog, CoCo, and CoWork), and certified delivery on every engagement.

How does Snowflake pricing work, and can we buy it through Viewnear?

Snowflake is consumption-based: you pay for the compute (credits) and storage you actually use, on one open platform. You can procure your Snowflake capacity through Viewnear for simpler commercial terms and account management under one accountable partner.

How long does a Snowflake implementation take?

A typical initial production build runs 8–16 weeks, depending on data volume, source complexity, and the number of use cases in scope. We deliver value from sprint one.

How do you de-risk a large engagement?

We prove the approach with a focused proof of concept before the full build, run regular steering reviews with clear decision gates, and hand over documentation and enablement so your team can run and extend it confidently.

All questions answered

Make this the quarter your data starts paying off.

Every quarter on ungoverned data means decisions made half-blind. Tell us where you are, and we'll map the fastest path to data & AI you can trust.

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