Pascal AI Pricing Overview

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Pascal AI Pricing Key Insights

Last updated on Jul 30, 2026

Information about Pascal AI pricing, plan availability, and costs is not listed on G2 by the vendor. Buyers typically need to engage directly with the vendor to understand pricing options. Final cost negotiations to purchase Pascal AI must be conducted with the seller.

Rated 4.7 / 5

*Pricing information is supplied by the software provider or retrieved from publicly accessible pricing materials. Final cost negotiations must be conducted with the seller.

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Pascal AI Alternatives Pricing

The following is a quick overview of editions offered by other Financial Research Software

Product Price Features
Crunchbase
Crunchbase
Crunchbase Pro (Monthly)
 $99.001 user Per Month
Find and prioritize opportunities with best-in-class private company data. Pro Includes:
  • Search 4M+ private companies with full results
  • Unlock all company and investor profile data, including growth signals and AI-powered insights
  • Track companies with saved searches and lists, alerts, and stages
Acquire.com
Acquire.com
Sellers: https://acquire.com/seller-pricing/ Buyers: https://acquire.com/pricing/
 Contact UsPer Year
  • Sellers: https://acquire.com/seller-pricing/ Buyers: https://acquire.com/pricing/
Koyfin
Koyfin
Free
 $0.00
The ultimate beginner package; everything you need to get started gaining insight on your investments
  • 2Y financials & 1Y estimates
  • My Portfolio
  • Advanced charting
  • Market & macro dashboards
  • 2 watchlists & 2 screens

Various alternatives pricing & plans

Pricing information for the above various Pascal AI alternatives is supplied by the respective software provider or retrieved from publicly accessible pricing materials. Final cost negotiations to purchase any of these products must be conducted with the seller.

Pascal AI Pricing Reviews

(1)
Shivansh V.
SV
Shivansh V.
"Effective Data Extraction with Room for Improvement"
4.5/5
What do you like best about Pascal AI?

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.

What do you dislike about Pascal AI?

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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