Anvizent - Generative Data Pipeline Platform

Key Features

• Generative Pipeline Building

  Generates production-ready data pipelines based on analyst configurations rather than manual coding.

• DataNow

  A managed service designed to deliver decision-ready data for dashboards with a target two-week deployment.

• DataScale

  Provides generative pipelines for AI product companies to assist with customer onboarding and data integration.

• DataContext

  A managed service that delivers AI-ready data for AI agents and machine learning workflows.

• Broad Connectivity

  Connects to ERPs, CRMs, APIs, databases, legacy systems, and files.

• Regenerative Pipelines

  Supports editing and regenerating pipelines when business rules or source systems change.

Use Cases

• Daily Executive Dashboards

  Providing CEOs and CFOs with daily visibility into KPIs, cash flow, and operations.

• AI Agent Data Supply

  Supplying context-rich datasets to support AI agents and machine learning models.

• SaaS Customer Onboarding

  Supporting AI product companies in connecting new customer data sources during proof-of-concept phases.

• Cross-Functional Data Integration

  Unifying data from CRM, ERP, and finance systems into a single data layer.

Integrations

• ERP
• CRM
• API
• Database
• Power BI
• Tableau

FAQ

How does Anvizent differ from a standard BI tool?

While BI tools visualize data, Anvizent focuses on the generative pipeline that extracts and integrates data from sources like ERPs and CRMs.

What is the cost to start with Anvizent?

There is a one-time setup, implementation, and consulting fee of $5,000, with monthly platform fees starting at $3,500.

How quickly can a business see results?

The DataNow service is designed for a two-week deployment, while DataScale offers a 5-day Proof of Concept for AI product companies.