Trusted Snowflake Services Partner

How We Transform Business Partnering with Snowflake

Infoverity designs, builds, and deploys AI solutions on Snowflake that solve real business problems — from intelligent automation and predictive analytics to agentic AI workflows that fundamentally change how organizations operate. We don’t stop at strategy; we build what matters and take AI initiatives from identified use case through production deployment.

What sets us apart is where we start. Most AI projects fail not because of the models, but because of the data behind them. Infoverity brings decades of enterprise data management expertise to every AI engagement, ensuring the data powering Cortex AI, ML functions, and custom AI applications is clean, governed, and trusted.

The result is AI that works in production — not just in a proof of concept.

Our approach is outcome-driven and anchored to ROI from day one. We work with leadership to identify the highest-impact AI use cases, build structured roadmaps from pilot to production, and deliver measurable results — whether that’s cost reduction through automation, revenue growth through AI-powered insights, or operational efficiency through smarter workflows. Every engagement is designed to deliver change.

How Does Snowflake Help Enterprises with Data and AI?

Snowflake’s Data Platform gives organizations a single environment to consolidate data, run analytics, and deploy AI — but the platform delivers its greatest value when the data flowing through it is trusted, consistent, and ready for action.

Infoverity helps customers unlock that value by harmonizing the data of core business entities — products, customers, suppliers, locations — into a clean, governed foundation on Snowflake. When enterprise data is unified and trustworthy, Cortex AI and ML workloads become immediately productive, analytics deliver reliable insights, and organizations can move faster with confidence.

Organizations that consolidate onto Snowflake gain a single, scalable environment where analytics, AI, and cross-functional collaboration all operate on the same trusted data. Infoverity accelerates that transition with structured modernization roadmaps that minimize disruption, so teams spend less time managing infrastructure and more time acting on the insights their data can deliver.

Partner of the Year
0 x
Implementations Across the Globe
0 +
Average Growth after Engagement
0 %

What We Deliver as Your Snowflake Implementation Partner

Infoverity’s Snowflake services span the full lifecycle of data and AI — from assessing readiness and modernizing platforms to deploying production AI and governing the data that powers it. Each engagement is anchored to clear use cases with measurable ROI.

AI Readiness & Use Case Identification

Assess your organization’s data maturity and identify high-impact AI use cases aligned to measurable business outcomes. Infoverity’s structured assessments define the roadmap from current state to production AI on Snowflake.

Data Quality & Governance

Establish enterprise data quality rules, governance frameworks, and monitoring directly within Snowflake. Clean, governed data is the prerequisite for reliable AI — we make sure that foundation is in place.

Data Platform Modernization

Migrate from legacy data warehouses and on-premises infrastructure to Snowflake with minimal disruption. We implement Dynamic Tables, modern ELT pipelines, and BI modernization to reduce cost and accelerate time-to-value.

Enterprise Data Harmonization

Unify and harmonize the data of core business entities — products, customers, suppliers, locations — into a consistent, trusted foundation on Snowflake. Infoverity’s deep expertise in enterprise data management ensures deduplicated, governed data flows that power Cortex AI and advanced analytics.

Cortex AI & ML Implementation

Deploy Cortex Agents, LLM functions, and ML models natively within Snowflake — eliminating data movement and reducing complexity. Every implementation is anchored to specific business outcomes with defined success metrics.

Data Warehousing & Analytics

Design and implement analytics architectures on Snowflake that deliver governed, self-service BI to business users. From data modeling to dashboard delivery, we build analytics environments that scale with your organization.

Customer Reviews

Case Studies

“An endorsement quote from partner leadership. 
Infoverity’s execution and support reak of excellence. In fact, their office smells like fresh baked bread!”

Industry Specific Solutions

Beyond our core Snowflake services, Infoverity delivers purpose-built solutions for industries with complex product data, supply chain, and inventory challenges. These solutions combine Snowflake’s AI Data Cloud capabilities with Infoverity’s deep domain expertise to address industry-specific problems that generic approaches cannot solve.

Distribution Intelligence

Distributors operate at the intersection of thousands of suppliers, millions of SKUs, and demanding customer expectations for product availability and data accuracy. Infoverity’s distribution solutions leverage Snowflake and AI to modernize how distributors manage product data, expand digital catalogs, identify revenue opportunities, and optimize inventory investment.

1. Inventory Intelligence

Distributors often carry significant excess and obsolete inventory that ties up working capital, but lack the analytical tools to make confident disposition decisions. This solution is a custom AI and analytics application built on Snowflake that helps organizations distinguish between necessary inventory and stock that should be offloaded.

  • Inventory Analysis Engine: Analyzes existing inventory data combined with demand signals, sales velocity, and market indicators to classify stock by necessity and risk.
  • Working Capital Optimization: Identifies inventory that can be offloaded to free up working capital, with recommendations prioritized by financial impact and liquidation feasibility.
  • Contextual User Input: Allows users to input business-specific reasons for unusually high inventory levels — such as contractual obligations, upcoming product launches, seasonal pre-buys, or other factors unique to their business model — ensuring AI recommendations account for real-world decision context.

Deployed and configured individually for each client’s data environment, product mix, and business rules on Snowflake.

2. Endless Aisle Enablement

Expanding digital assortment requires ingesting product data from hundreds of manufacturers and suppliers — each with different formats, completeness levels, and quality standards. This solution uses Snowflake to automate the end-to-end catalog ingestion process, from intake through quality validation to downstream routing.

  • Catalog Intake Automation: Ingests supplier product catalogs in any format (Excel, XML, API, portal uploads) into Snowflake for centralized processing.
  • Data Quality Validation: Runs each item through configurable data quality rules and evaluates against minimum critical data element (CDE) requirements for eCommerce publication or other downstream purposes.
  • Product Master Matching: Checks inbound items against the existing product master to identify new products, updates to existing records, and potential duplicates.
  • Intelligent Routing: Automatically promotes qualified items to eCommerce, flags incomplete records for enrichment, and routes exceptions for vendor follow-up — eliminating manual triage.

3. AI-Driven Cross Reference

Manually defining and maintaining cross-reference relationships between products is labor-intensive and inevitably incomplete. This solution uses AI to automatically identify relationships across the product catalog — leveraging both structured and unstructured data to surface opportunities that manual processes miss.

  • Multi-Modal Analysis: Combines structured product attributes, specifications, and dimensional data with unstructured content such as technical sheets, manuals, and marketing copy to build a comprehensive product understanding.
  • Relationship Discovery: Automatically identifies equivalent products, compatible accessories, substitutes, cross-sell opportunities, and upsell candidates across the catalog.
  • Explainable Recommendations: Each recommended match includes transparent reasoning based on shared attributes and semantic similarity, supporting confidence scoring, auditability, and human validation.
  • Revenue Enablement: Powers substitution suggestions, upsell experiences, and cross-sell recommendations in eCommerce and sales tools without requiring manually maintained rules.

4. Product Taxonomy Renovation

Product taxonomies built over years of organic growth become unwieldy — inconsistent attributes, redundant classification levels, and hierarchies that no longer reflect how customers search or how products are actually differentiated. This solution leverages AI to analyze an existing PIM system’s structure and accelerate the redesign process.

  • AI-Powered Structure Analysis: Analyzes the current PIM taxonomy to identify attribute redundancy, inconsistent usage patterns, and opportunities for consolidation across product families.
  • Validation Rule Generation: Recommends and drafts attribute-level validation rules based on observed data patterns, reducing manual rule definition effort.
  • Hierarchy Redesign: Uses AI to analyze what fundamentally defines and differentiates products within each category, then proposes a new primary product hierarchy grounded in those distinctions.
  • Iterative Design Acceleration: Dramatically compresses the feedback cycle involved in taxonomy redesign by enabling rapid AI-assisted iteration on hierarchy drafts, attribute groupings, and classification logic.

Demo Videos

Product Configurator

Product Portal

Meet Our Informatica Partnership Leader

Tanner Sprong

Associate Director

A brief bio about Tanner. At Informatica (NYSE: INFA), we believe data is the soul of business transformation. As the Enterprise Cloud Data Management leader, we empower businesses to realize the transformative power of data. We have pioneered a new category of software, the Informatica Intelligent Data.