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. 11
    SharpestMinds

    SharpestMinds

    Data Science and Machine Learning Platforms

    Peer-to-peer mentorships through income-share agreements.

    $17M

    $120K

    170

    2018

    Data Science and Machine Learning Platforms

  2. 12
    Fusemachines

    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 exploi

    $16M

    $8M

    312

    2013

    Data Science And Machine Learning Platforms

  3. 13
    Intalio

    Intalio

    Data Science and Machine Learning Platforms

    Provider of private cloud computing services. The company offers tools and technologies that businesses use to build engaging, agile business applications that include the modern capabilities that users demand, including collaboration, process automation,

    $15M

    $38M

    600

    238

    1999

    Data Science and Machine Learning Platforms

  4. 14
    SOPHiA GENETICS

    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 pan

    $14M

    $250M

    850

    421

    2011

    Data Science And Machine Learning Platforms

  5. 15
    CommerceIQ

    CommerceIQ

    Data Science and Machine Learning Platforms

    Developer of an enterprise platform intended to empower retailers towards profitable growth through data-driven merchandising decisions. The company's platform automates actions across sales marketing and operations by bringing the disciplines of data scie

    $13M

    $81M

    2K

    136

    2012

    Data Science and Machine Learning Platforms

  6. 16
    Hiretual

    Hiretual

    Data Science and Machine Learning Platforms

    Developer of AI-based recruiting software designed to increase team collaboration, pipeline management and improve intelligent engagement. The company's software sources candidates from over 30 platforms featuring more than 700M professional profiles, enab

    $11M

    $20M

    135

    2015

    Data Science and Machine Learning Platforms

  7. 17
    Shogun

    Shogun

    Data Science and Machine Learning Platforms

    Shogun is an E-commerce platform that helps brands create unique buying experiences and optimize their online stores.

    $11M

    $115M

    20K

    182

    2015

    Data Science and Machine Learning Platforms

  8. 18
    Emerge

    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 t

    $10M

    $18K

    150K

    151

    2012

    Data Science And Machine Learning Platforms

  9. 19
    Leads2b

    Leads2b

    Data Science and Machine Learning Platforms

    A Leads2b é uma empresa de tecnologia que proporciona soluções completas para a geração de Leads no mercado B2B. Com um poderoso BIG DATA e uso de Inteligência Artificial, a Leads2b nutre com informações de mercado um processo de prospecção aut

    $10M

    117

    2014

    Data Science and Machine Learning Platforms

  10. 20
    Peltarion

    Peltarion

    Data Science and Machine Learning Platforms

    Peltarion is an AI software company with offices in Stockholm and London.

    $9M

    $38M

    96

    2004

    Data Science and Machine Learning Platforms

11-20 of 191

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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.