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 845K customers and employ over 10K 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
  4. Altansia $8.2M
$10M+ ARR
  1. Electric $339.4M
  2. Dataiku $64.2M
  3. Fieldglass $56.1M
  4. Jasper $50.0M
  1. 01
    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

  2. 02
    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

  3. 03
    Kameleoon

    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

    $9M

    $9M

    450

    132

    2009

    Data Science And Machine Learning Platforms

  4. 04
    Sight Machine

    Sight Machine

    Data Science and Machine Learning Platforms

    Sight Machine specializes in manufacturing analytics and used by Global 500 companies to make better, faster decisions about their operations. Sight Machine's analytics platform, purpose-built for discrete and process manufacturing, uses artificial intelli

    $8M

    $80M

    86

    2012

    Data Science and Machine Learning Platforms

  5. 05
    Altansia

    Altansia

    Data Science and Machine Learning Platforms

    Created in 2011, the company ALTANSIA is a consulting and expertise firm in BI / Big Data / IA and Web of about fifty people founded by two partners David HATTAB & Yvan PETTON.

    $8M

    18

    2011

    Data Science and Machine Learning Platforms

  6. 06
    RapidMiner

    RapidMiner

    Data Science and Machine Learning Platforms

    RapidMiner builds a software platform for data science teams that unites data prep, machine learning, and predictive model deployment. Organizations can build machine learning models and put them into production faster than ever before on a single platform

    $8M

    $37M

    250K

    104

    2007

    Data Science and Machine Learning Platforms

  7. 07
    Saphety

    Saphety

    Data Science and Machine Learning Platforms

    Provider of paper-free and automated business processes services. The company offers purchase-to-pay services, process optimization, data and media synchronization.

    $7M

    190K

    84

    2000

    Data Science and Machine Learning Platforms

  8. 08
    Strateos

    Strateos

    Data Science And Machine Learning Platforms

    $7M

    $44M

    85

    2012

    Data Science And Machine Learning Platforms

  9. 09
    Synthace

    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 coll

    $7M

    $44M

    73

    2011

    Data Science And Machine Learning Platforms

  10. 10
    Shelf Engine

    Shelf Engine

    Data Science and Machine Learning Platforms

    Shelf Engine replaces the grocery buyer and guarantees sales for the grocery store.

    $6M

    65

    2018

    Data Science and Machine Learning Platforms

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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.