Skip to content
Companies

Ocient

Data warehouse for analytics on trillions of records

Raised to date

$48M

across 3 Form D filings

Still open
$25K
Investors
42
Last filed
Jun 18, 2026

About

Ocient is a hyperscale data analytics software company that provides a platform for analyzing trillions of data records at high performance and low cost. The company's solution consolidates multiple data systems and workloads, enabling organizations to conduct compute-intensive analysis of complex datasets in real-time. Ocient offers its services via a software-as-a-service model with flexible deployment options including on-premises, cloud, and hybrid environments.

Ocient's platform is designed to provide significant cost and performance advantages, claiming up to 80% price savings and a reduced storage footprint compared to traditional data warehouses. It enables the analysis of 5-10 times more data, combining a carbon-neutral operational model with advanced architecture to handle previously unattainable scales of data analytics.

Funding

  • EquityFiled Jun 18, 2026Form D
    None sold/ no target
  • EquityFiled Mar 5, 2026Form D/A
    $48M/ $48M
  • EquityFiled Jul 7, 2025Form D
    $17.8M/ $20M

Product

Ocient Hyperscale Data Warehouse

Data Warehouse

The flagship product is a fully managed data warehouse designed to deliver maximum performance for real-time analytics and Online Analytical Processing (OLAP) workloads on massive datasets. It allows for the continuous loading and transformation of data, supporting always-on analysis for complex, large-scale business intelligence operations.

  • Continuous data integration with always-on ETL/ELT and transformations
  • OcientML® for in-database machine learning acceleration
  • OcientGeo® for advanced geospatial and temporal analytics

Built for

Ocient targets large enterprises and government organizations managing high-volume, high-velocity, or complex datasets. Key industry verticals include telecommunications, communications service providers, and other sectors requiring real-time discovery and analysis of massive data volumes.

People on file