Taylor AI

What is Taylor AI?

Taylor AI is a data engine built for working with unstructured natural language data. It’s comparable to BigQuery or Athena, but focused on content that isn’t neatly organized. Data engineers can use it to build pipelines that extract valuable information from messy cloud file systems, keeping datasets clean and ready to use.

The engine is dynamic: pipelines adjust to daily data needs and can change as your requirements evolve. You can also train AI models with Taylor AI’s AI Toolkit, classifying text data as it arrives and incorporating text embedding and classification directly into your pipeline. This helps structure data, understand what users are saying, and estimate their likelihood to buy based on their messages.

Who created Taylor AI?

The founder isn’t named in the available documentation. The company behind the tool is Taylor AI, Inc., located at 2261 Market Street, San Francisco, CA 94114.

What is Taylor AI used for?

• Enhancing external data: Enrich data from third-party sources.
• Automating data structuring: Organize unstructured data automatically.
• Creating custom classifiers: Build data classifiers tailored to your needs.
• Building data pipelines: Extract valuable information from cluttered cloud file systems.
• Training AI models: Classify text data as it’s ingested, with text embedding and classification integrated directly into pipelines.
• Understanding user input: Analyze user messages and sentiments, including purchase intent prediction.
• Cloud compatibility: Works with cloud services like S3.
• Dynamic pipelines: Adapt to changing data requirements on a daily basis.

Who is Taylor AI for?

Taylor AI is primarily designed for software developers, engineering managers, and engineers.