People do what tech can’t. We have the capacity to deploy hundreds of intelligent operators in months, and blow volume benchmarks out of the water -- scaling the intelligence of your model and shrinking time to launch at the same time.
If you think GPT-3 is just for writing copy, you’re wrong. It’s use cases are nearly universal. Imagine an actually helpful chatbot, an engineering teammate that turns natural language into SQL, or a data analyst that provides intelligence briefings in seconds.
Operators align with your data quality framework and evolve with it as the volume of datasets improve your model. The result: the best possible data and a lot of it.
200+
3,500
+10%
