Top Agriculture Data Processing Companies in the United States

Welcome to the Agriculture Data Processing Companies section of our SuperbCompanies IT directory! This vital category showcases top-notch Agriculture Data Processing Companies in the United States that excel in transforming farm-to-table data into actionable insights. In this section, we highlight innovative companies revolutionizing agriculture through precision farming, supply chain optimization, and more. We've curated a list of outstanding Agriculture Data Processing Companies demonstrating exceptional performance in areas such as data analytics, cloud computing, and AI-powered solutions. This category is designed to provide valuable insights into the best Agriculture Data Processing Companies in the United States.

See Pricing Analytics

2 Companies

Last updated:Dec 22, 2024

List of the Top Agriculture Data Processing Companies in the United States

SunTec.AI

Claimed

Data Annotation Services for AI/ML Solutions

4.6

About company

SunTec.AI is a top data annotation company empowering businesses with high-quality training datasets for diverse AI/ML project needs. Rated as one of the industry's best data annotation companies, we... Read more about SunTec.AI

Undisclosed

$25 - $49/hr

500 - 999

1999

Laguna Beach, California

Service focuses

‌

ReviewReview dated Jul 15, 2024

SunTec.AI’s project management was exemplary throughout the duration of our collaboration. Their team maintained open lines of communication, providing regular updates and progress reports, which kept us well-informed and confident in their capabilities. SunTec.AI was highly responsive to our needs, promptly addressing any changes or adjustments we required. Their proactive approach to problem-solving and their commitment to meeting our specific requirements were particularly noteworthy. This level of attentiveness and flexibility greatly contributed to the project's overall success.

Reviewer

Nick Pegg

Content strategist

4.6

Odyssey Analytics

Claimed

Amplifying Businesses Leveraging Technology Transformation!

About company

Odyssey Analytics is a leading software consulting firm dedicated to propelling businesses forward in the ever-evolving digital landscape. We are a team of passionate experts with a proven track reco... Read more about Odyssey Analytics

$5000 - $9999

$100 - $149/hr

200 - 499

2019

Houston, Texas

Service focuses

‌

How much does it cost to hire Agriculture Data Processing Companies in the United States?

Pricing in 2024

Data current as of: Nov 23, 2024

Country

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
$100 - $149/hr		1	1
	1 50.00%	1 50.00%	2

$50 - $99/hr

Avg. hourly rate

$25 - $49/hr

Summary of Agriculture Data Processing Companies in the United States (as of November 23, 2024)

To determine the average hourly cost of hiring Agriculture Data Processing Companies in the United States, 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
$100 - $149/hr: 1 company (50.00%)

Analysis

Most Popular Hourly Rate: The most popular hourly rate among Agriculture Data Processing Companies in the United States 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.

Conclusions

The Agriculture Data Processing 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 Agriculture Data Processing Companies in the United States, enabling them to make informed decisions based on their budget and project requirements.

Choosing the Right Agriculture Data Processing in the United States Partner: A Full Guide

How many providers of Agriculture Data Processing services in the United States are listed on the SuperbCompanies portal?

The SuperbCompanies portal lists a variety of Agriculture Data Processing in the United States 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 Agriculture Data Processing in the United States 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.

Which working models are the most popular among firms of Agriculture Data Processing services in the United States listed on the SuperbCompanies portal?

The most popular working models among Agriculture Data Processing in the United States firms listed on the SuperbCompanies portal are the following:

Full Time - 1 company
Part Time - 1 company
On Demand - 1 company

These models cater to various project needs and requirements, offering flexibility in terms of resource allocation and engagement.

Which project management methodologies are the most popular among providers of Agriculture Data Processing in the United States listed on the SuperbCompanies portal?

The most popular project management methodologies used by software testing providers listed on SuperbCompanies are:

Agile Methodology - 1 company
Scrum Methodology - 1 company
Extreme Programming (XP) - 1 company
Six Sigma - 1 company

These methodologies cater to various project types and organizational needs, offering flexibility and efficiency for different testing requirements.

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