Our work
Case studies.
Real data & AI work we deliver across the Americas. See how teams went from scattered sources to governed data, decisions people trust, and use cases in production.
Featured work
Client names are withheld at their request. All are real, anonymized engagements.
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.
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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 Blackboard Data Share integration, and real-time Caliper event streaming, unifying academic and learning-activity data into one governed source.
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One trusted golden record across eight business domains
A commercial-vehicle dealer group ran sales, service, parts, and the back office on separate systems, with no single version of a customer, vehicle, part, or supplier. Viewnear built a corporate master data foundation on Snowflake: a progressive multi-source golden record across eight business domains, using a Medallion architecture, Openflow ingestion, dbt transformations, and per-domain Snowflake CoWork agents.
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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 from SAP Business One 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.
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Turning architectural CAD drawings into measurable, decision-ready data
We unified four disconnected sources, including architectural CAD drawings, into one governed source of truth on Snowflake, reading the design data locked in the drawings into structured, governed data so design became measurable alongside construction, finance, and land data, then delivered Snowflake CoWork agents and Slack bots on top.
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Proof anyone can verify today.
Viewnear is a Snowflake Premier Partner and a Snowflake CoCo Preferred Partner, with a SnowPro-certified team. That status is verifiable today, independent of any single engagement.
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