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disclaimer: I'm a barely-informed layperson, not any kind of AI expert

non-snarky genuine question: is "generate structured data from unstructured data using AI" intended to be a moat or differentiator?

catalyst for my question: I just read about this capability becoming available from other AI vendors, e.g.

https://openai.com/index/introducing-structured-outputs-in-t...




That is only part of the problem; the others include:

1. writing connectors for various sources

2. writing connectors for destination

3. supporting multiple models, embeddings, vector database, text extractors

3. workflow automation engine(cron jobs)

4. performance tuning for speed and costs

5. security and compliance


Totally! The structured extraction from AI is only a small part in the product. Beyond the list above we also built 1. Custom validation that allows end users to validate outputs with their own logic 2. Manage different workflows (monitoring, scaling) and keep track of business logic in processing different data sources.




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