The Top Data Science And Machine Learning Platforms SaaS Companies

As of Jan 2020, these 106 SaaS companies are the largest in the Data Science And Machine Learning Platforms space. (Click to apply)

This list tracks the largest private B2B Data Science And Machine Learning Platforms SaaS companies by revenue. In total, this list features 106 companies with combined revenues of $1.3B.

These companies have raised a total of $259.0M. Together, these Data Science And Machine Learning Platforms saas companies serve 179K customers and employ over 60K on their teams.

$0 - $1M ARR
  1. Crisply $978.1K
  2. Graphext $968.8K
  3. Ormigga $955.3K
  4. RESOL GmbH $937.4K
$5M - $10M ARR
  1. Leads2b $9.8M
  2. Peltarion $8.8M
  3. Kameleoon $8.8M
$10M+ ARR
  1. Electric $339.4M
  2. Dataiku $64.2M
  3. Fieldglass $56.1M
  4. Jasper $50.0M
  1. 01
    Electric

    Electric

    Data Science and Machine Learning Platforms

    Electric is an information technology company that helps businesses manage their IT security, support, and devices in real-time.

    $339M

    $92M

    2K

    404

    2016

    Data Science and Machine Learning Platforms

  2. 02
    Varonis Systems

    Varonis Systems

    Data Science And Machine Learning Platforms

    Varonis Systems Inc provides software solutions that protect data from insider threats and cyber attacks. The company, through its software, allows organizations to protect data stored on premises and on a cloud, such as sensitive files and emails; confide

    $293M

    $29M

    2K

    2005

    Data Science And Machine Learning Platforms

  3. 03
    Dataiku

    Dataiku

    Data Science and Machine Learning Platforms

    Dataiku operates as an enterprise artificial intelligence and machine-learning platform

    $64M

    $647M

    450

    778

    2013

    Data Science and Machine Learning Platforms

  4. 04
    Fieldglass

    Fieldglass

    Data Science and Machine Learning Platforms

    Provider of a vendor management system. The company's solutions include InSite Contingent, a software as a service platform that automates the process of procuring and managing contingent labor, from requisition through invoice and payment.

    $56M

    $196M

    668

    1999

    Data Science and Machine Learning Platforms

  5. 05
    Jasper

    Jasper

    Data Science and Machine Learning Platforms

    Cisco Systems, Inc. is an American multinational technology conglomerate headquartered in San Jose, California, in the center of Silicon Valley.

    $50M

    $205M

    2K

    50K

    1984

    Data Science and Machine Learning Platforms

  6. 06
    Qfila!

    Qfila!

    Data Science and Machine Learning Platforms

    A Global Education Company. Para Berlitz es un reto ser el líder en el mercado de idiomas y capacitación, ofreciendo un servicio de excelencia y constante innovación para atender y servir las necesidades de nuestros clientes. Durante más de un siglo, g

    $27M

    322

    2020

    Data Science and Machine Learning Platforms

  7. 07
    Black Swan Data

    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 the

    $22M

    $10M

    223

    2011

    Data Science And Machine Learning Platforms

  8. 08
    Torch

    Torch

    Data Science and Machine Learning Platforms

    Torch is a leadership development platform with integrated coaching, software and feedback to raise high performers to the next level.

    $20M

    200

    2018

    Data Science and Machine Learning Platforms

  9. 09
    Moveworks

    Moveworks

    Data Science and Machine Learning Platforms

    Developer of an cloud-based artificial intelligence platform designed to solve IT issues. The company's platform combines natural language processing (NLP), machine learning and conversational-AI to tackle enterprise IT issues, integrates with existing ser

    $19M

    $105M

    224

    2016

    Data Science and Machine Learning Platforms

  10. 10
    Digimind

    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 th

    $18M

    600

    204

    1998

    Data Science And Machine Learning Platforms

1-10 of 18

Next

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.