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
    Crisply

    Crisply

    Data Science and Machine Learning Platforms

    Quantified Work for CRM. Sell More, Increase CSAT and Improve Operational Efficiency with data you have and our revolutionary machine learning based service.

    $978K

    11

    2013

    Data Science and Machine Learning Platforms

  2. 02
    Graphext

    Graphext

    Data Science And Machine Learning Platforms

    Developer of a dimensional reduction and clustering technology designed to auto-segment data to identify patterns, outliers and correlations visually at once. The company's technology helps companies to discover insights from their data with different stru

    $969K

    21

    2015

    Data Science And Machine Learning Platforms

  3. 03
    TopTier Software

    TopTier Software

    Data Science and Machine Learning Platforms

    Provider of enterprise information portals and products that unify information residing throughout an organization's computing systems. The company provides software platform that integrates corporate data residing in a company and its business partners en

    $968K

    19

    1996

    Data Science and Machine Learning Platforms

  4. 04
    Ormigga

    Ormigga

    Data Science And Machine Learning Platforms

    Developer of an outsourcing management platform designed to quote, contract and manage suppliers more efficiently. The company's platform combines machine learning and gamification technology that lets its users connect with multiple suppliers and outsourc

    $955K

    11

    2016

    Data Science And Machine Learning Platforms

  5. 05
    RESOL GmbH

    RESOL GmbH

    Data Science And Machine Learning Platforms

    Nature as ideal… Solar thermal technology taps the infinite energy resources of the sun to face the ecological responsibility of tomorrow. The RESOL product range includes a range of high-class solar thermal and heating controllers as well as a broad va

    $937K

    12

    Data Science And Machine Learning Platforms

  6. 06
    CM2W

    CM2W

    Data Science And Machine Learning Platforms

    Provider of a monitoring platform. The company helps in monitoring and controlling a a wide range of hardware equipment in an uniform manner.

    $929K

    23

    2014

    Data Science And Machine Learning Platforms

  7. 07
    Novi Labs

    Novi Labs

    Data Science And Machine Learning Platforms

    Developer of a cloud-based software platform designed to optimize shale asset field development decisions in the oil and gas industry. The company's software leverages machine learning technologies for combining high-performance cloud computing resources w

    $918K

    23

    2014

    Data Science And Machine Learning Platforms

  8. 08
    Primal

    Primal

    Data Science And Machine Learning Platforms

    Developer of a cloud-based database platform. The company's software delivers semantic data that describes individual interests and connect them to related topics.

    $917K

    15

    2004

    Data Science And Machine Learning Platforms

  9. 09
    Limbik

    Limbik

    Data Science And Machine Learning Platforms

    Provider of an online Data Studio for video analytics intended to help content creators use data to capture more attention. The company's platform uses AI generated content recommendations to create the most effective short-form video from most advanced da

    $904K

    22

    2016

    Data Science And Machine Learning Platforms

  10. 10
    SignifAI

    SignifAI

    Data Science and Machine Learning Platforms

    Developer of predictive machine intelligence tools designed to monitor activities within networks. The company's tools uses a cloud-based platform reduces alert noise generated by existing monitoring tools, analyzes monitoring data in real-time and applies

    $896K

    15

    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.