By recognizing
Data as an Assettm
you will understand:
What your data
is worth
Add Data to your Balance Sheet. Understanding the utility in your data can unlock its potential and increase your business valuation.
How to monetize
your data
Monetizing your data involves leveraging strategic partnerships, data licensing, and data-driven products and services to maximize its value.
How you compare to
your competitors
Assessing the health of your data ensures its accuracy, relevance, and effectiveness in driving business outcomes and growth.
How it’s packaged
Scorecard
Peer scores provide a quality score based on features, depth, age, and overall performance of dataset against other analyzed sets.
Market backed algorithm
Gulp Machine Learning models provide current market comp value of your data assets. We identify attribute-level value drivers.
Revenue and cost models
Estimate the cost of creating, maintaining, and/or obtaining
similar data.
similar data.
Make informed decisions
Gulp provides companies with unique data insights, offering personalized intelligence invaluable during M&A or when raising capital.
Assess the competitive
landscape and industry trends
Based on the market comps and current market demand, we catalog and price all products found in your datasets.
Develop a competitive
pricing strategy
Granular models are focused on attribute-level data value so you don’t underprice your assets.
Identify new markets
and segments to target
Gulp provides a full landscape of data buyers, competitors, and data products
like yours.
like yours.
Gain essential insight at an affordable price
Gulp's data valuations are accessible to companies of all sizes.
Quick survey
We weigh metrics like vertical, customer profiles, and data complexity to determine Gulp’s value-add potential.
Sample submission
Using our client side app, we determine dataset health, quality, value and monetization potential.
Reporting
Gulp's valuation reports deliver clear, quantifiable results in days to weeks.
Trusted data valuations since 2021
Trusted by 250+
Companies
Companies
Over 10 Trillion
Records Analyzed
Records Analyzed
40K+ Training
Dataset
Dataset
We Work With
