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Make Snowflake do more, from strategy to AI.

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

SnowPro-certified team · Americas-focused delivery

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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 work is more senior, not less, and it is where we concentrate.

  • 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.

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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, not data scattered across tools
  • 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
Explore services
A team reviewing dashboards, reports, and charts together around one shared, governed set of data.
One governed source of truthTrusted by every team

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
  • Insight embedded where your teams already work
Explore services
A team collaborating with analytics and AI tools on their screens in a bright modern office.
Grounded in your dataCortex AI in the workflow
What we offer

One accountable team, the whole data stack

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

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

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 and AI never means committing blind.

Prove it first

A focused proof of concept before the full build. You commit to scale on evidence, not a slide deck.

You stay in control

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

Value from sprint one

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

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 Snowflake-certified team, versed at every level: no hiring runway, no ramp, no key-person risk.

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.

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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 →

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.

Can you migrate our existing data warehouse to Snowflake?

Yes. Migration is one of our most common engagements (Teradata, Oracle, Hadoop, SQL Server). We manage the full technical delivery and program governance.

How is an engagement priced?

Engagements are scoped on data volume and complexity, the number of analytics/AI use cases, team size, and timeline. We agree scope and price up front and offer fixed-cost, time-and-materials, and team-augmentation models.

Do you publish standard pricing?

No. No two platforms are the same, so we price to the work. Tell us your goals and constraints and we'll come back with a model, a plan, and a price.

How do you keep our data secure?

We build on Snowflake's certified platform and extend it with least-privilege access, Horizon Catalog lineage and PII classification, Horizon Context so every person and AI agent works from the same trusted business context, data residency by region, and audit-ready controls, all configured to your sector.

Do you use third-party tools or stay native to Snowflake?

We lead with the Snowflake-native stack (Openflow, Snowpark, Horizon Catalog, Cortex, Snowsight, Streamlit, plus the Snowflake CoCo coding agent and CoWork AI agent) so governance and AI context (Horizon Context) stay in one place. dbt is the one external framework we run, natively against Snowflake.

Make this the quarter your data starts paying off.

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