I like using Pascal AI for data extraction because it gives me things in a standardized table format, which really boosts readability. This format allows me to incorporate the information into my models, increasing my understanding significantly. The ability of Pascal AI to collect data across multiple time horizons and provide summaries of what's asked is pretty handy. I can easily find key trends or common points across multiple companies to create comparisons. Review collected by and hosted on G2.com.
I would like to say that accuracy with respect to data extraction has been approximately 90-95%, it sometimes hallucinate a bit - a rare occurrence lately. The summary of particular things can be more improvised, like when I ask it to explain what the business model is or what are its product offerings - it is lacking on that side of summary - it could improve its output there. Initially Pascal when we started using it one year back - then the accuracy was not that good as compared to now. Review collected by and hosted on G2.com.
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