5 Data Science Company Success Stories [2024]

Updated: November 19th, 2023
Start A Data Science Company

Data science deals with the vast volume of data using modern tools and techniques to find unseen patterns. Data science experts can add value to any business using the data well. Data science companies help businesses to:

  • Mitigate risk and fraud
  • Deliver relevant products
  • Offer a personalized experience

Given the critical role of data science in business analytics, starting a data science company can be a great idea.

Here are some real life success stories of starting a data science company:

1. White Bullet ($1.2M/year)

Peter Szyszko, a former intellectual property lawyer, founded White Bullet after realizing the need for efficient processes to differentiate between legal and illegal online content. By using AI and machine learning, White Bullet has developed an IP Infringement Analytics Platform that identifies infringing websites and tracks the advertising funding them. The company has experienced significant growth, attracting clients from the media industry, government, and law enforcement sectors.

How much they make: $1.2M/year
Current team size: 16


How We Developed A Leading IP Infringement Analytics Platform

White Bullet CEO and founder, Peter Szyszko, discusses how he identified and began targeting IP-infringing websites and apps with his IPI Analytics Platform, which has seen the company grow and expand into new areas such as social media antipiracy and connected TV.

Peter started White Bullet over 11 years ago
Peter grew the business to $100K/month
Read by 6,409 founders

2. Big Cloud Recruitment ($3M/year)

After years of experience in the recruitment industry, Matt Reaney decided to start his own company. He and his colleagues identified the emerging trend of 'big data' and saw a niche in the market for recruiting data scientists and engineers. Inspired by the idea of leveraging data to drive business growth, they founded Big Cloud, a global data science recruitment company.

How much they make: $3M/year
How much did it cost to start: $80K
Current team size: 6


How We Started A $250K/Month Data Science Recruitment Service

Data science recruitment company Big Cloud shares how they grew their business to generate £250k per month through expanding into global markets and using social media and marketing strategies to attract and retain customers while keeping a strong focus on building honest, long-standing relationships with clients and candidates.

Matt started Big Cloud Recruitment over 10 years ago
Matt grew the business to $250K/month
It cost Matt $80000 to start the business
Read by 5,119 founders

So... can you actually make money with a data science company?

Of course. There are millions to be made in this industry.

But how?

  1. Research real, profitable businesses and see exactly how much money they make.
  2. Study exactly what works, and what doesn’t.
  3. Take action, because now you have the roadmap.

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3. Addepto ($1.26M/year)

Addepto, a leading AI consulting firm, was founded by Edwin Lisowski and Artur Haponik. With their shared passion for new technologies, they recognized the potential of AI-driven solutions for businesses and decided to start a company that offers customized data-driven solutions. Over the years, their focus on providing high-quality services and building a strong brand image has helped them attract and retain customers, leading to their remarkable success in the industry.

How much they make: $1.26M/year
How much did it cost to start: $30K
Current team size: 25


We Built A $1.26M/Year AI Consulting Business [Over 30 Employees]

Addepto is an AI consulting business that has grown to over 30 employees and generated $1.26 million per year by offering customized solutions to clients, minimizing business risks with AI, integrating data from multiple sources, and optimizing logistic processes.

Edwin started Addepto about 6 years ago
Edwin grew the business to $105K/month
It cost Edwin $30000 to start the business
Read by 4,016 founders