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
    Zirous

    Zirous

    Data Science And Machine Learning Platforms

    Developer of an IT consultancy intended to offer services in the areas of data and analytics. The company's consultancy uses advanced analytics to make strategic decisions and to efficiently execute a data-driven transformation, enabling clients to turn th

    $5M

    61

    1986

    Data Science And Machine Learning Platforms

  2. 02
    Visage Technologies

    Visage Technologies

    Data Science and Machine Learning Platforms

    Visage Technologies AB producing computer vision technologies like face tracking, analysis (emotion, gender, age) and recognition.

    $5M

    $4M

    76

    2002

    Data Science and Machine Learning Platforms

  3. 03
    Reengen

    Reengen

    Data Science and Machine Learning Platforms

    Developer of a provolta energy operating system intended to optimize HVAC (Heating, Ventilating, Air Conditioning) operations of commercial buildings. The company's system provides real-time energy and condition monitoring, enabling enterprises to collect,

    $5M

    54

    2012

    Data Science and Machine Learning Platforms

  4. 04
    Sagacito Technologies

    Sagacito Technologies

    Data Science and Machine Learning Platforms

    Sagacito is a SaaS enterprise start-up that uses data science and machine learning to help businesses maximize profits and market share.

    $5M

    19

    2016

    Data Science and Machine Learning Platforms

  5. 05
    JAYA Company

    JAYA Company

    Data Science and Machine Learning Platforms

    TECHNOLOGY FOR QUALITY OF LIFE We are a group of enthusiastic entrepreneurs with the mentality, ability and attitude to create a future of abundance to improve the Quality of Life of people who interact with our technology. We enhance your company further

    $4M

    46

    2018

    Data Science and Machine Learning Platforms

  6. 06
    RoadBotics

    RoadBotics

    Data Science And Machine Learning Platforms

    Developer of an advanced computer vision technology designed for inspecting roads and infrastructure. The company's technology uses machine vision and machine learning to rapidly identify road issues at a massive scale and offers a simple web-based tool fo

    $4M

    $12M

    46

    2016

    Data Science And Machine Learning Platforms

  7. 07
    Impira

    Impira

    Data Science and Machine Learning Platforms

    Developer of a visual content platform intended to help in managing image and video data. The company's platform applies machine learning and computer vision algorithms for searching and analyzing content for providing direct feedback on how audiences are

    $4M

    44

    2017

    Data Science and Machine Learning Platforms

  8. 08
    Xelix

    Xelix

    Data Science And Machine Learning Platforms

    Provider of a technology platform intended to manage the process of early settlement discount across the whole supply chain. The company's technology platform provides an easy process where the user has to upload approved invoices and the platform does the

    $3M

    51

    2016

    Data Science And Machine Learning Platforms

  9. 09
    Saturn Cloud

    Saturn Cloud

    Data Science and Machine Learning Platforms

    Developer and provider of data science platform intended for data scientists. The company's SaaS platform which equips data science teams with high-leverage automation tools which include one-click publishing and sharing, scaling to GPUs, flexible custom e

    $3M

    36

    2019

    Data Science and Machine Learning Platforms

  10. 10
    Calipsa

    Calipsa

    Data Science And Machine Learning Platforms

    Provider of a cloud-based remote video monitoring platform designed to revolutionize how security monitoring is done, on a global scale. The company's platform utilizes machine learning that is adaptable to support real time CCTV video monitoring and autom

    $3M

    $2M

    43

    2016

    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.