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Valoros

Valoros provides a unified data platform that automates ingestion, transformation, and governance of data from cloud, on‑premises, and SaaS sources through a low‑code visual pipeline builder. The platform stores processed data in a centralized, query‑optimized lake with built‑in validation, lineage, and access controls, and offers self‑service analytics, dashboards, and APIs for BI and machine‑learning integration.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Companies need to manage and analyze large volumes of data across multiple cloud services, but integrating disparate data sources, ensuring data quality, and deriving actionable insights often require extensive engineering effort and specialized expertise.

Solution

Valoros offers a unified data platform that automates the ingestion, transformation, and governance of data from various cloud and on‑premises sources. The platform provides a low‑code interface for building data pipelines, applies built‑in validation and enrichment rules, and stores the processed data in a centralized, query‑optimized repository. Integrated analytics tools enable users to create dashboards, run ad‑hoc queries, and generate reports without writing custom code. Role‑based access controls and audit logs ensure compliance and data security, while APIs allow seamless integration with existing BI and machine‑learning workflows.

Target Audience

Primary customers are data engineering teams, analytics departments, and business intelligence professionals in mid‑size to large enterprises that need to consolidate and govern data from multiple sources.

Features

  • Connectors for major cloud storage, databases, and SaaS applications with automatic schema detection
  • Visual pipeline builder with drag‑and‑drop transformations and reusable data‑quality rules
  • Centralized data lake that supports SQL querying, columnar storage, and versioned data snapshots
  • Built‑in governance features including data lineage, access policies, and audit logging
  • Real‑time dashboards and self‑service query interface for business users
  • Extensible API and SDKs for integration with third‑party analytics and ML platforms
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