Governed data. The agentic control plane. One team that ships on Snowflake.
Viewnear is a Snowflake Premier & Select Partner and CoCo Preferred Partner, one of the specialist teams that takes an enterprise from a legacy warehouse to governed data on Snowflake and on to the AI layer above it: Cortex AI, Cortex Agents and Cortex AI Gateway. SnowPro-certified architects and engineers, working US hours from Austin and Monterrey, priced to the result.
The data foundation, and the AI that runs where the data already is
Stand up the governed data foundation
Off Teradata, Oracle or Hadoop and onto one governed copy of the data: Openflow ingestion from the ERP, CRM and SaaS systems already in place, dbt and Snowpark modeling next to the data, Horizon Catalog lineage and access from the first table, Apache Iceberg so the foundation stays open. Live in 8 to 16 weeks, with working software at every sprint demo.
Run AI where the data already is
Cortex AISQL and Cortex Analyst over governed Semantic Views, Cortex Agents that plan across structured data and documents, Snowflake CoWork for the people who ask the questions, and Cortex AI Gateway governing which agents reach which data, models and tools. Models are callable inside it, so the reasoning happens next to the data and nothing is copied out.
The whole Snowflake stack, not a corner of it
What lands the data, what governs it, and what runs on top. Viewnear delivers all three, which is what the Premier and Select tiers are meant to mean.
Foundation
- Openflow and Snowpipe Streaming ingestion
- dbt, Snowpark and Dynamic Tables modeling
- Apache Iceberg and Open Catalog
- Migrations off Teradata, Oracle, Hadoop and SQL Server
Governance
- Horizon Catalog lineage and access policies
- PII classification and masking
- Semantic Views as one shared business context
- Warehouse sizing and consumption control
The AI layer
- Cortex AISQL and Cortex Analyst
- Cortex Agents across data and documents
- Cortex AI Gateway governing model access
- Snowflake Intelligence and CoWork
Three engagements, measured on Snowflake
From hand-sorted documents to 95% accurate claims classification in seconds
A claims processing company was sorting documents from many insurance providers by hand, causing delays, errors, and lost files. Using Snowflake Cortex AI functions like AI_EXTRACT, Viewnear automated classification and data extraction, lifting accuracy from 60% to 95% and cutting per-document handling to four seconds.
Read case study→
Reining in thousands of runaway SKUs to restore accurate product costs
A corrugated packaging manufacturer's product catalog exploded into thousands of SKUs and variants with no product architecture, distorting costs and slowing production. Viewnear designed a governed Snowflake foundation: a Medallion warehouse fed from the ERP via Openflow, master-data and SKU governance rules, a Standard SKU catalog, What-if simulation, and a Snowflake CoWork catalog agent over governed Semantic Views.
Read case study→
Real-time insight into 20,000+ students across campuses, live in seven weeks
A group of universities serving 20,000+ students across Miami and Latin America had academic records and LMS learning events siloed across campuses. Viewnear built a governed, real-time student data pipeline on Snowflake: a governed environment, native Anthology Illuminate Developer integration, and real-time Caliper event streaming, unifying academic and learning-activity data into one governed source.
Read case study→What the partnership changes for a client
Five ways the Snowflake partnership shows up in an engagement.
One plan with the Snowflake team
We work alongside the client's Snowflake account team on architecture, funding and delivery: aligned incentives and one plan, not a vendor bolted on after the fact.
Snowflake procurement, simplified
Snowflake charges for the compute and storage actually consumed. Procuring that capacity through Viewnear means simpler commercial terms, with capacity and delivery under one accountable partner.
Building with Snowflake CoCo
As a CoCo Preferred Partner we build data products and AI use cases with Snowflake's coding agent, reviewed object by object and validated before anything reaches production.
SnowPro-certified delivery
Certified architects and engineers on every engagement, from the first design session to production, with Snowflake's product teams a call away when a build hits a hard question.
Documented, then kept improving
Documentation and runbooks ship with every build. From there the team runs it, or Viewnear keeps running, tuning and improving the Snowflake estate as a managed service.
Recognized among Snowflake's top partners
Viewnear is a Snowflake Premier & Select Partner, recognized in Snowflake's CoCo Preferred Partner program. Snowflake's CoCo Global Partner Momentum lineup names 41 partners out of the more than 14,000 in its network, and Viewnear is on it alongside the global systems integrators and Big Four firms.
- 14,000+
- Snowflake partners worldwide
- 41
- Partners named in CoCo Global Partner Momentum
- 2
- Premier & Select Partner + CoCo Preferred Partner recognition
Both recognitions are listed on Snowflake's own partner directory. Verify this listing
Meet the team behind the Snowflake practice
A practice of SnowPro-certified architects, data engineers and analytics engineers, led by people who have taken enterprises from a legacy warehouse to governed data and AI in production.
Led by our leadership team Meet the leadership team →
Three ways to get there
Every leader weighs building in-house, hiring a global systems integrator, or partnering with a specialist. Here is where the three models differ.
Time to production
- In-house
- Hiring and ramping a team before the build starts
- Global SI
- Mobilization through a large delivery process
- Viewnear
- 8–16 weeks to first value, demos every sprint
Who does the work
- In-house
- Whoever can be hired and retained
- Global SI
- Staffed from a large bench, often in layers
- Viewnear
- Certified, versed at every level
Snowflake expertise
- In-house
- Learned on the job, funded in-house
- Global SI
- One of many platforms they cover
- Viewnear
- Premier & Select Partner specialists, end to end
Agentic delivery
- In-house
- Pilots on whichever model the team already knows
- Global SI
- One of several AI practices, staffed per account
- Viewnear
- Cortex Agents in production, inside the same governed perimeter
Accountability
- In-house
- Split across internal teams
- Global SI
- Often split across practices and subcontractors
- Viewnear
- One team, owned start to finish
After go-live
- In-house
- Knowledge walks out with attrition
- Global SI
- The engagement continues at day rates
- Viewnear
- Documented and run: by the team, or by Viewnear as a managed service
Put a Premier & Select Partner on the Snowflake work.
Tell us where the organization stands with Snowflake, whether that is procurement, a migration or the AI layer, and we'll bring the certified team, with Snowflake at the table.