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As of Jan 2020, these 108 SaaS companies are the largest in the Data Science And Machine Learning Platforms space.

The Top Data Science And Machine Learning Platforms SaaS Companies

This list tracks the largest private B2B Data Science And Machine Learning Platforms SaaS companies by revenue. In total, this list features 108 companies with combined revenues of $487.3M.

These companies have raised a total of $664M. Together, these Data Science And Machine Learning Platforms saas companies serve 354K customers and employ over 5K on their teams.

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Highlights

01
$293M
$29M
-
2K
2005
United States
02
BSD
Black Swan Data

Data Science And Machine Learning Platforms

Provider of applied prediction platform designed to enable efficient and effective marketing. The company's applied prediction platform uses data science and analyses data to help anticipate changes in consumer behavior, enabling brands to predict what their customers will want.

$22M
$10M
-
223
2011
United Kingdom
03
D
Digimind

Data Science And Machine Learning Platforms

Provider of marketing and competitive intelligence software designed to professionalize the environment listening process. The company's software assists in social media activities, enabling corporate firms to receive exact reports of the occurrences in the social media.

$18M
-
600
204
1998
United States
04
F
Fusemachines

Data Science And Machine Learning Platforms

Operator of an AI solutions and services company that offers AI engineers to companies seeking to develop their capabilities in Big Data and Machine Learning. The company helps users identify opportunities within an organization where AI can be best exploited. The company's AI engineers augment the existing staff and provides a hands-on approach.

$16M
$8M
-
312
2013
United States
05
SOPHAGENETICS
SOPHiA GENETICS

Data Science And Machine Learning Platforms

Developer of bioinformatics pipelines and visualization tools for diagnosis of genetic diseases. The company engages in development of bioinformatics pipelines and visualization tools for bioinformatic analysis of both commercial and proprietary custom panels of genes and protection of patient DNA sequence data through storage and banking.

$14M
$250M
850
421
2011
United States
06
E
Emerge

Data Science And Machine Learning Platforms

Provider of a SaaS based data analytics platform intended to provide predictive insights about banking, retail and insurance businesses. The company's platform solves complex business problem through machine learning and artificial intelligence, enabling their clients to navigate through the corporate data maze and become more profitable.

$10M
$18K
150K
151
2012
United Kingdom
07
K
Kameleoon

Data Science And Machine Learning Platforms

Developer of editing tools designed for A/B testing and market conversion optimization products. The company's tools allow businesses to better understand the behaviour of online visitors using artificial intelligence to measure the conversion possibility for each customer and personalizing their experiences, enabling clients to improve their conversion and engage consumers in the long term in the digital realm.

$9M
$9M
450
132
2009
France
08
S
Strateos

Data Science And Machine Learning Platforms

$7M
$44M
-
85
2012
United States
09
S
Synthace

Data Science And Machine Learning Platforms

Developer of a cloud software platform designed to automate and improve the success rate of biological research and development. The company's platform uses artificial intelligence for designing and simulating biological systems, as well as methods of collating, structuring and analyzing experimental data, enabling clients to transfer biological designs into real 'wet lab' experiments via logistics simulation and execution seamlessly.

$7M
$44M
-
73
2011
United Kingdom
10
QT
Quickservice Technologies

Data Science And Machine Learning Platforms

Provider of software services. The company provides security and point of sale software, hardware and integration services to the Quick Service Restaurant (QSR) sector, serving customers across Canada and U.S.

$6M
-
-
72
1960
Canada
1 - 10 of 108Next

What are the fastest growing companies doing?


83 of the fastest growing companies that also have the most revenue have a clear expansion revenue strategy. On average, sales reps are selling plans where starting contract value is $4,606.

Those same companies employ 1,678 sales reps that carry a quota. The most common compensation plan used by these companies is a 1:5 ratio of sales rep on target earnings (OTE) to quota. Meaning if a rep can earn $200k in base and commissions, quota target for that year is set at 5x, or $1m in new ARR closed.

If you’re going to build a high growth SaaS company, you need to figure out how to scale with quota carrying sales reps.

Which CEO’s are the most efficient capital allocators?


We can measure this a variety of ways. Which company has the most revenue per employee? What about dollars in revenue compared to dollars raised? What about time, which founder went from $0 to $10m the fastest?

Looking deeper at dollars in revenue compared to dollars raised, bootstrappers take the cake because they self fund (denominator zero). When we look at companies that have raised at least $1m, Actito is the clear winner generating $21m in revenue, growing 100% yoy, on just 1m raised ($.05 dollars raised for every $1 of revenue).

Omnisend comes in a close second with $.08 dollars raised for every dollar of revenue. Doing $19m as of December 2020. Proposify gets honorable mention with $0.46 dollars raised (3.25m) for every dollar of revenue ($7m).

The worst performers here are companies like YayPay with $3.68 dollars raised ($14m) per dollar of revenue ($3.8m). Many of the worst performers just did a round of funding and haven’t had a chance to deploy to drive growth yet. That makes this data less valuable but still illustrative.