The GPT Factory or Continual? A Comprehensive Review

Creates ChatGPT applications

Offers Data labeling services

Has 3-step process for execution

Fast product creation and delivery

Track record of success

Overall customer satisfaction

Prioritizes customer feedback

Flat pricing for services

Different packages based on project scope

Pro

Cloud-based predictive modeling

Uses SQL for app creation

Works with BigQuery

Snowflake

Redshift

and Databricks

No need for complex infrastructure

Models improve continually

Data and models stored on warehouse

Easily accessible to operational and BI tools

Limited to three packages

7-day limited support

No API access mentioned

Only browser extension development

Doesn't offer on-premise solution

No multi-language support

No specific data security measures

Limited customization options

Single location operation

SQL-centric

Limited to cloud data platforms

Dependency on modern data stacks

No MLOPS infrastructure

Limited extensibility (Python only)

Dependent on dbt compatibility

Not suitable for traditional data management systems

Data must be on the same warehouse

No mention of multilingual support

Dependent on continuous access to data warehouse