ForbesThe Future Of Business To Business Banking: Fintech 50 2024
- Bias Rating
- Reliability
20% ReliableLimited
- Policy Leaning
6% Center
- Politician Portrayal
N/A
Continue For Free
Create your free account to see the in-depth bias analytics and more.
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates.
Bias Score Analysis
The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.
Sentiments
6% Positive
- Liberal
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
Unlock this feature by upgrading to the Pro plan. | ||
Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
54% : Bona fides: Processed $95 billion in transactions in 2023, up 95% from 2022; Mercury's customers include Immuta, Fly.io and Jasper. Cofounders: CEO Immad Akhund, 39, a software developer turned entrepreneur who sold his mobile advertising startup for $45 million in 2016; COO Jason Zhang, 33, and CTO Max Tagher, 31, who both worked for Akhund before Mercury.49% : Cofounders: CEO William Hockey, 34, a one-time billionaire who cofounded Plaid in 2013 and sold some of his Plaid shares to finance Column; Annie Hockey, 34, a former Bain consultant and Stanford MBA. Launched in 2020, Found is a business banking platform designed for owner-operators, small business owners and self-employed people.
44% : That would be Found (formerly known as Indie Technologies) launched in 2020, as a banking platform geared to self-employed workers, owner-operators and small-business owners.
*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.
