™Private Data Lake & Pipelines
Bring structured and unstructured information together. Organize your Data with private ETL / ELT pipelines.
The data lake for your app. And the database behind it.
Use Hawkeye as your application's private data foundation. Bring files, operational records, and media into the data lake, and use PostgreSQL for relational application data. Access the services through APIs and MCP while keeping your application in its own codebase.
Private data lake + PostgreSQL
Keep original files, documents, and media in the lake. Use the PostgreSQL database for structured records, relationships, and application state.
ETL / ELT pipelines for your data
Ingest, validate, normalize, transform, and enrich information. Build repeatable pipelines from source systems to the datasets your application consumes.
Structured + unstructured search
Query structured tables and search unstructured documents, transcripts, and extracted media metadata. Return tenant-authorized results with links to their sources.
Configure isolation, replication, recovery, and GPU capabilities for the selected infrastructure. Validate each deployment against your application's operating requirements.
Organize your Data.
Extract, validate, normalize, transform, and enrich incoming information. Retain original source material and its relationship to every processed record.
Map the pipeline to your procedures