Top Banking Artificial Intelligence Companies in New York City

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2 Companies

Last updated:Dec 28, 2024

List of the Top Banking Artificial Intelligence Companies in New York City

FBSPL - Fusion Business Solution P Limited

Claimed

keeping You first

About company

FBSPL is a leading global BPM, consulting, and business process outsourcing (BPO) firm. Focusing on optimizing business operations, we empower companies of all sizes with our strategic business proce... Read more about FBSPL - Fusion Business Solution P Limited

$5000 - $9999

$25 - $49/hr

500 - 999

2006

New York City, New York

Service focuses

‌

Bitswits

Claimed

Top mobile app development company

About company

BitsWits is a leading mobile app development company. We specialize in creating innovative mobile solutions that enhance user experiences and support business growth. Our mission is to empower busine... Read more about Bitswits

$25000 - $49999

$50 - $99/hr

200 - 499

2015

New York City, New York

Service focuses

‌

How much does it cost to hire Banking Artificial Intelligence Companies in New York City?

Pricing in 2024

Data current as of: Nov 23, 2024

Total number of companies

Companies undisclosed data

Companies provided data

Employees

Avg. hourly rate	500 - 999	200 - 499	Number of companies
$25 - $49/hr	1		1
$50 - $99/hr		1	1
	1 50.00%	1 50.00%	2

$50 - $99/hr

Avg. hourly rate

$25 - $49/hr

Summary of Banking Artificial Intelligence Companies in New York City (as of November 23, 2024)

To determine the average hourly cost of hiring Banking Artificial Intelligence Companies in New York City, we can analyze the distribution of companies across different hourly rate ranges and company sizes.

Hourly Rate Ranges:

$25 - $49/hr: 1 company (50.00%) Most Popular Rate
$50 - $99/hr: 1 company (50.00%) Average Rate

Analysis

Most Popular Hourly Rate: The most popular hourly rate among Banking Artificial Intelligence Companies in New York City is $25 - $49/hr, with 1 company (50.00%) offering services within this range. This indicates that a significant portion of the market is targeting a low-range pricing strategy, which may appeal to a broad spectrum of clients seeking a balance between cost and quality.
Average Hourly Rate: The average hourly rate for Banking Artificial Intelligence Companies in New York City is between $50 - $99/hr, with 1 company (50.00%) falling into this category. This suggests that while mid-range pricing is popular, there is also a substantial portion of the market that offers higher-priced services, potentially indicating more specialized or high-quality offerings.

Conclusions

The Banking Artificial Intelligence market is diverse, with a substantial number of companies offering services at different price points to cater to a wide range of clients.
The most competitive and densely populated hourly rate range is $25 - $49/hr, making it the most accessible for many potential clients.
The hourly rates ($50 - $99/hr and above) are also common, indicating a robust market for specialized and potentially higher-quality services.

This analysis provides a comprehensive overview for businesses or individuals looking to hire Banking Artificial Intelligence Companies in New York City, enabling them to make informed decisions based on their budget and project requirements.

Choosing the Right Banking Artificial Intelligence in New York City Partner: A Full Guide

How many providers of Banking Artificial Intelligence services in New York City are listed on the SuperbCompanies portal?

The SuperbCompanies portal lists a variety of Banking Artificial Intelligence in New York City service providers across multiple regions, and over 2 featured companies are based across countries like Canada, the United States, Ukraine, and more.

It is worth mentioning that around 0 of the Banking Artificial Intelligence in New York City firms on the SuperbCompanies portal do not provide full information. This means that they cannot be used in the in-depth analytical research conducted by the SuperbCompanies experts. As a result, their services and performance may not be as easily evaluated or scrutinized compared to companies with full, transparent data.