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Aginity - Machine Learning Software

Aginity

Empowering financial analytics with advanced machine learning

(12 ratings)

Starts from $150/User/Year

Overview of Aginity

What is Aginity ?

Aginity is machine learning software for core financial analytics. The products harvest insights from highly complex data sources including market, reference, and social exposures. Applications include counterparty risk analysis, underwriting, portfolio optimization, stress testing, capital allocation, M&A valuation and hedging ... Read More

API available

Aginity Platforms

  • Browser Based (Cloud)

Aginity Customer Type

  • Freelancers
  • Large Enterprises
  • Medium Business
  • Small Business

Pricing of Aginity

Starts from $150

  • Free Trial,
  • Subscription,
  • Quotation Based

Screenshot of the Aginity Pricing Page (Click on the image to visit Aginity 's Pricing page)

Disclaimer: Pricing information for Aginity is provided by the software vendor or sourced from publicly accessible materials. Final cost negotiations and purchasing must be handled directly with the seller. For the latest information on pricing, visit website. Pricing information was last updated on .

Aginity Alternatives

Aginity FAQs

Yes, Aginity provides API.
No, Aginity doesn’t provide mobile app.
Aginity is located in Evanston, IL - 60201
Aginity offers Free Trial, Subscription, Quotation Based pricing models
We don't have information regarding integrations of the Aginity as of now.

Aginity Support

Contact

+1 224-307-2656

Customer Service

Online

Location

Evanston, IL - 60201

Reach out to Aginity Social channels

Read More about Aginity

Aginity is machine learning software for core financial analytics. The products harvest insights from highly complex data sources including market, reference, and social exposures. Applications include counterparty risk analysis, underwriting, portfolio optimization, stress testing, capital allocation, M&A valuation and hedging strategies. We deliver scalable solutions that go well beyond what is possible with traditional data processing tools.

Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].

Researched by Rajat Gupta