Chris Gladwin
CEO
Ocient
Ocient provides a hyperscale data analytics platform designed for always-on, compute-intensive analysis of petabyte-scale datasets. The platform's Compute Adjacent Storage Architecture (CASA) and Megalane technology enable high-speed data ingestion and query processing, with support for in-database machine learning and geospatial analysis. Ocient targets data-intensive industries such as telecommunications, national security, and AdTech, offering deployment options across on-premises, OcientCloud, and public cloud environments.
- Data & Analytics
- Enterprise Software
- Artificial Intelligence
- Software Only
Updated 2 days ago
Funding
Raised to date
$260MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
across 6 rounds
+18$100M · Series C
Announced Nov 2026 · from article date
Disclosed cumulative: $256.5M
6/6
RoundDateAmountValuationInvestors
Founders
Product
Problem
Organizations struggle to efficiently analyze massive, complex datasets, often facing limitations in speed, scalability, and cost-effectiveness when using traditional data warehouses. Existing solutions can be slow, expensive, and unable to handle the complexity of modern data types and analytics workloads, leading to delayed insights, missed opportunities, and increased operational costs.
Solution
Ocient provides a hyperscale data analytics platform designed for always-on, compute-intensive analysis of complex, large-scale data. The OcientAIQ™ ecosystem combines solution patterns, delivery expertise, and a unified data platform to make AI work in complex enterprise environments. The platform enables users to transform, stream, and load data directly, returning previously infeasible queries in seconds. By bringing storage adjacent to compute through its Compute Adjacent Storage Architecture (CASA), Ocient maximizes performance on industry-standard hardware and offers flexible deployment options, including on-premises, OcientCloud, and public cloud environments. The platform supports native semi-structured data, geospatial analysis, and in-database machine learning, all accessible through standard SQL interfaces.
Target Audience
Ocient targets organizations across data-intensive industries, including communications service providers, national security agencies, AdTech companies, financial services, and operational IT, that require high-performance analytics on large, complex datasets.
Features
- Compute Adjacent Storage Architecture (CASA) with NVMe drives located adjacent to the processor, removing network bottlenecks for rapid data access
- Megalane™ technology enabling high-speed data ingestion and query processing at petabyte scale
- Hyperscale ETL service that transforms data during stream or file loading
- Native support for structured and semi-structured data, including arrays, tuples, and matrices
- Geospatial data analysis capabilities with functions for ST_POINT, ST_LINESTRING, and ST_POLYGON
- In-database machine learning with OcientML®, enabling model building, training, and deployment using SQL
- Support for standard query interfaces, including SQL, JDBC, ODBC, and Python API
- Workload management features, including scheduling priorities, resource limits, and service-class settings
- Flexible deployment options: OcientCloud, public cloud, and on-premises