Wayfare offers an enterprise data platform for regulated industries, enabling modern data workflows without moving sensitive data from on-premises environments. It provides data integration, transformation with dbt, and reverse ETL for BI and ML, all within a secure, compliant framework.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations in highly regulated industries face challenges in leveraging modern data stacks due to strict compliance and on-premises data requirements. Traditional data integration and governance tools often necessitate data movement across networks or complex configurations, hindering agility and increasing security risks. This environment makes it difficult to achieve data democratization while maintaining necessary controls.
Solution
Wayfare provides an end-to-end enterprise data platform designed for highly regulated sectors, enabling modern data workflows without requiring data to leave on-premises environments. The platform facilitates seamless data integration from numerous sources into data warehouses like Snowflake, Databricks, and PostgreSQL. It incorporates robust data governance, lineage tracking, transformation capabilities leveraging dbt, and data quality checks to ensure data integrity and compliance. Wayfare also offers data activation features through a reverse ETL solution, making data readily available for BI, ML, and AI applications while maintaining stringent security and privacy controls.
Target Audience
The platform is designed for organizations in financial services, pharmaceuticals, and the public sector that handle sensitive data and operate under strict regulatory compliance. This includes data engineers, IT professionals, and compliance officers responsible for data management and governance.
Features
- Federated data platform architecture allowing data processing within existing on-premises infrastructure.
- Comprehensive data integration capabilities supporting hundreds of connectors to various data sources and destinations.
- Integrated data governance framework with auditable workflows and role-based access controls.
- End-to-end data lineage tracking to provide visibility into data touchpoints and transformations.
- Support for dbt integration for data transformation, enabling GitOps-for-data workflows.
- Automated data quality monitoring and documentation of data changes.
- Bank-grade data security and privacy controls, including GDPR, SOC 2 Type I, and ISO 27001 compliance.
- Reverse ETL functionality for data activation, preparing data for BI, ML, and AI use cases.
- Compatibility with major data warehouses including Snowflake, Databricks, PostgreSQL, and MotherDuck.