Snowflake Premier Partner · CoCo Preferred Partner
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
Why now
Execution got cheap. Knowing what to build didn’t.
Cloud platforms, AI, and agents made building faster than ever, so the advantage moved upstream: to the teams who can define the right thing to build and trust the data underneath it. Most can't yet. Here's where it stalls.
01
Vendor sprawl
Five tools stitched together, each with its own copy of the data and its own bill, and no one sure which number is right.
02
Data you can't trust
Reports that disagree, no lineage, no governance, so leadership second-guesses the dashboard instead of acting on it.
03
AI stuck in pilots
Proofs of concept that never reach production, because the data underneath them was never ready.
That’s the job we do: turn scattered, untrusted data into one governed Snowflake foundation your teams act on, and put AI to work on top of it.
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
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
A six-step loop, not a one-way project. We work one priority use case at a time, taking each from discovery to governed, Cortex-powered data in production on Snowflake, then start the next. Your governed, AI-ready data grows with your business as we keep delivering.
1
Discover
Assess the current estate, data sources, and business goals; define success metrics.
2
Design
Architect the target Snowflake platform, governance model, and semantic layer.
3
Migrate & Ingest
Move and connect data with automated translation, validation, and Openflow pipelines.
4
Build
Engineer data products, analytics, and Cortex AI / agentic workloads on governed data.
5
Govern & Validate
Apply Horizon Catalog lineage, access controls, and PII classification, plus Horizon Context so every team and AI agent shares one trusted business context; test for trust.
6
Run & Optimize
Operate, monitor, and tune consumption and performance, with enablement for your team.
Why it works
A partner who knows the whole journey
The whole modern data stack, not one tool
Ingestion (Openflow, Snowpipe Streaming), transformation (dbt, Snowpark, Dynamic Tables), governance (Horizon Catalog and Horizon Context), analytics (Snowsight, Streamlit), and AI agents (Cortex, Snowflake CoWork), all centered on your governed Snowflake core.
Governed and open by design
Built on Apache Iceberg and Open Catalog (Polaris) so your data stays interoperable across engines and clouds: no vendor lock-in.
Get it right the first time
Proven migration frameworks and certified architects reduce risk and rework when you move off Teradata, Oracle, Hadoop, or SQL Server.
Beyond dashboards to data agents
We ground Snowflake CoWork (the personal AI agent) and Cortex Agents in your governed Semantic Views and Horizon Context, so business users get cited, trustworthy answers from the same definitions every team uses.
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.
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.
Recognized in Snowflake’s CoCo Preferred Partner program at Summit 2026, alongside Accenture, Deloitte, IBM, and Capgemini.
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 Premier Partner
A top-tier Snowflake Services Partner with SnowPro-certified engineers and a verified, end-to-end delivery track record across the Americas: from architecture and migration to analytics and AI.
Snowflake CoCo Preferred Partner
Recognized as a Snowflake CoCo Preferred Partner for building on Snowflake CoCo, the coding agent, to ship enterprise data products and AI: governed and validated before they reach production.
Snowflake procurement, simplified
Procure Snowflake directly through Viewnear. It's consumption-based (you pay for the compute and storage you use) and we simplify the capacity commitment, commercial terms, and account management under one trusted partner.
End-to-End Delivery
From architecture and migration to data engineering, analytics, and AI, we deliver the full Snowflake stack in-house with a single accountable team from day one.
Premier
Snowflake Partner tier
CoCo
Preferred Partner
8–16 wks
Typical time to production
Americas
Where we deliver
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.
A practical view of the journey, by horizon: value early, scale through the year, a durable advantage after that.
01First 90 days
Foundations & first value
A governed Snowflake foundation live, priority data flowing, and the first production dashboards in hand. Real decisions running on trusted data inside the first quarter.
026–12 months
Scale & self-service
Analytics and AI use cases rolled out across teams, self-service adopted, and manual reporting retired. Decisions run on current, trusted numbers.
0318+ months
Compounding advantage
New use cases shipped in weeks, run cost tuned, and a team fluent enough to keep extending it on their own. Data and AI become a durable edge.
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.
