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Financial services in AI

The financial services industry is heavily reliant on machine learning systems to automate fiscal decision making, fraud detection and credit eligibility for consumers and enterprises alike.  Fully automated AI/ML implementations may result in biased outcomes that aren’t fair, reliable, private, inclusive, or transparent.

These companies help banking and fintech industries understand, monitor and mitigate bias.

Truera

Based on six years of research performed at Carnegie Mellon University, Truera’s ...

Synthesized.io

Synthesized’s new Community Edition Bias Mitigation tool is designed to ...

Zest AI

Zest’s software mitigates bias in credit underwriting algorithms so that banks, credit unions, and other lenders can lend ...

H20.AI

H2O.ai is a visionary Silicon Valley open source software company that created and reimagined what is possible. ...

Jumio

Fraudsters and money launderers have no place in today’s digital economy. To protect against fraud and financial crime, ...

Stallion AI

Stallion AI has developed a proprietary methodology, based on deep experience and aligned with global best practices, to assess ...

Narrative Science

Narrative Science is an AI company that leverages natural language generation (NLG) technology to transform data into narrative stories. ...

Sarwa

Sarwa is an automated investment advisory firm that allocates client funds in a portfolio of low-cost ETFs based on ...

Quandl

Quandl wants to inspire customers to make new discoveries and incorporate them into trading strategies. ...

Underwrite AI

Underwrite.ai takes portfolio data of cured loans (or other instruments) and classify the cured loans as either Good ...

Kensho

Kensho is a Data Analytics and Machine Intelligence Company that deploys scalable machine learning and analytics systems across the ...

Pit.ai

Pit.ai is a new machine learning-powered hedge fund using a variant of reinforcement learning to evaluate trading strategies. ...

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