Interzoid leverages Generative AI, LLMs, Machine Learning, specialized algorithms, and extensive knowledge bases to provide the ability to quickly ensure better, more accurate, and more useful data assets on Cloud database platforms such as AWS RDS, connecting to targeted data sources directly from a Web application (Interzoid Cloud Data Connect) or via a single API call.

The offering enables the easy generation of database content-level quality exception reports and the creation of new data tables on the fly in minutes with enriched data, all via the Cloud. This is performed automatically via the Web application or a single API call using entire database tables as input. All of the data matching, data quality, data verification and data enrichment capabilities can be run interactively, or via API, so data workloads, observability, and analysis reporting can be scheduled, added to data pipelines, be part of ELT/ETL processes, provide ongoing data observability, or used as part of business processes. Processing can also be done on text files such as CSV files.

All products are accessible via a single command/API call, with no installation required. This suite of products and APIs help organizations increase the value of their data assets, including matching through algorithmic similarity key generation (company names, individual names, addresses, etc.) to reduce duplicate data or match across data sources, data enrichment, data verification, and more.

A signup provides a single API key that enables access to all APIs on a pay-per-use model (including use via the Web application). It also provides AWS Marketplace usage tracking. The Web application is free, with usage only charged via calls to the APIs (per database record sent to the APIs) or from programmatic access on a per-API-call basis.

Entire datasets can be analyzed, reported on, or new datasets created, all with a single command-line call. Data connectivity on major data platforms is included for use with AWS RDS, Snowflake, Azure SQL, Google Cloud SQL, Postgres, MySQL, CSV files, and other major data sources. Better data equals better outcomes, and best of all it's very easy to get started.

SDKs are available in Go, Python, Node.js, and Java.