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Geophysical Insights

Geophysical Insights Revenue

Oil, Gas, and MiningFlag of USHouston, Texas, United States11-20 Employees

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Geophysical Insights revenue & valuation

Annual revenue$1,539,990
Revenue per employee$86,000
Estimated valuation?$5,000,000
Total fundingNo funding

Key Contacts at Geophysical Insights

Flag of US

Hal Green

Director - Marketing And Business Development

Flag of US

Hal Green

Director - Marketing & Business Development

Company overview

Headquarters1980 Post Oak Blvd, Suite 100, Houston, Texas 77056, US
Phone number+17133602507
Website
NAICS211
SIC138
Keywords
Exploration, Geology, Oil, Energy, Geophysics, Neural Networks, Seismic Interpretation, Microseismic
Founded2009
Employees11-20
Socials

Geophysical Insights Email Formats

Geophysical Insights uses 4 email formats. The most common is {first initial}{last name} (e.g., jdoe@geoinsights.com), used 50% of the time.

FormatExamplePercentage
{first initial}{last name}
jdoe@geoinsights.com
50%
{first name}{last name}
johndoe@geoinsights.com
25%
{last name}{last name}
doedoe@geoinsights.com
16.7%
{first initial}
j@geoinsights.com
8.3%

About Geophysical Insights

Geophysical Insights was founded in 2008 in Houston, Texas, by Dr. Tom Smith with the vision of applying machine learning to seismic interpretation to reduce the risk of oil and gas exploration and the cost of field development. Shortly after launching the company, Dr. Smith assembled a team of geoscientists and interpretation software specialist to develop the next generation of seismic interpretation software. The group’s mission was to apply machine learning to the problem of seismic interpretation and deliver the new capability in an off-the-shelf, commercial software product that could be used by any geoscientist. The new AI workbench, branded as Paradise®, would feature an intuitive, elegant interface that guided geoscientists in applying machine learning to many different types of geologic and stratigraphic investigations. Over three years in development, including a year of field trials, Paradise was launched as a commercial product at the Society of Exploration Geophysicists (SEG) Annual Convention in 2013 and has since seen steady adoption worldwide, including by national oil companies (NOCs) and international oil companies.

Employees by Management Level

Total employees: 11-20

Seniority

Employees

Entry
Senior
Manager

Employees by Department

Geophysical Insights has 14 employees across 6 departments.

Departments

Number of employees

Funding Data

Geophysical Insights has never raised funding before.

Geophysical Insights Tech Stack

Discover the technologies and tools that power Geophysical Insights's digital infrastructure, from frameworks to analytics platforms.

reCAPTCHA

reCAPTCHA

Security

Astra

Astra

WordPress themes

Gravity Forms

Gravity Forms

Form builders

Underscore.js

Underscore.js

JavaScript libraries

WP Rocket

WP Rocket

Caching

iubenda

iubenda

Cookie compliance

Swiper

Swiper

JavaScript libraries

jQuery UI

jQuery UI

JavaScript libraries

jQuery Migrate

jQuery Migrate

JavaScript libraries

Cloudflare

Cloudflare

CDN

Stripe

Stripe

Payment processors

jQuery

jQuery

JavaScript libraries

Frequently asked questions

Geophysical Insights is located in Houston, Texas, US.
You can reach Geophysical Insights at +17133602507.
Geophysical Insights generates an estimated annual revenue of $1,539,990. This revenue figure reflects the company's market position and business performance in its industry.
Geophysical Insights has an estimated valuation of $5,000,000. This valuation is calculated based on industry-standard revenue multiples and reflects the company's growth potential and market positioning.
Geophysical Insights was founded in 2009, making it 17 years old. The company has established itself as a significant player in its industry over this time.
Geophysical Insights has approximately 11-20 employees. The company continues to grow its workforce to support its business operations and expansion.

4.8

40,000 users

top 50
high performer
most used
tier 1 accuracy

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