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The Top Machine Learning Software SaaS Companies

As of Jan 2020, these 9 SaaS companies are the largest in the Machine Learning Software space. (Click to apply)

This list tracks the largest private B2B Machine Learning Software SaaS companies by revenue. In total, this list features 9 companies with combined revenues of $10.2M.

These companies have raised a total of $0.0. Together, these Machine Learning Software saas companies serve 0 customers and employ over 213 on their teams.

$0 - $1M ARR
  1. Jancube $674.1K
  2. VYBN $649.1K
  3. buynomics $589.6K
  4. Propeterra $113.2K
  5. DataShapes, Inc. $67.3K
$1M - $5M ARR
  1. ScriptString $3.3M
  2. Castle Global $2.6M
  3. Innovatica $2.1M
$5M - $10M ARR
    $10M+ ARR
      All companies$0 - $1M ARR$1M - $5M ARR$5M - $10M ARR$10M+ ARR
      Click to add your company (apply)
      1. 01
        ScriptString

        ScriptString

        Machine Learning Software

        ScriptSting is Software firm with a mission to simplify technology. Cloud Spend Management (CSM) by ScriptString is built for businesses to save on cloud spend.

        $3M

        —

        —

        44

        2018

        Machine Learning Software

      2. 02
        Castle Global

        Castle Global

        Machine Learning Software

        Castle Global is a software program company focusing on visual intelligence problems for producing unstructured visual data.

        $3M

        —

        —

        82

        2012

        Machine Learning Software

      3. 03
        Innovatica

        Innovatica

        Machine Learning Software

        End-to-end services and consulting in the field of technical due diligence, strategy planning and software implementations.

        $2M

        —

        —

        42

        2015

        Machine Learning Software

      4. 04
        Jancube

        Jancube

        Machine Learning Software

        Jancube is a Digital Company that offers mobile applications and machine learning services for personal and business solutions.

        $674K

        —

        —

        10

        2020

        Machine Learning Software

      5. 05
        VYBN

        VYBN

        Machine Learning Software

        Proprietary AI platform predicting revenue and ROI.

        $649K

        —

        —

        9

        2019

        Machine Learning Software

      6. 06
        buynomics

        buynomics

        Machine Learning Software

        Revenue management software for Consumer Goods, Telco and Software companies

        $590K

        —

        —

        16

        2018

        Machine Learning Software

      7. 07
        Propeterra

        Propeterra

        Machine Learning Software

        SaaS property platform utilizing predictive algorithms and a range of visualizations for the global property market.

        $113K

        —

        —

        5

        2019

        Machine Learning Software

      8. 08
        DataShapes, Inc.

        DataShapes, Inc.

        Machine Learning Software

        Real-time unstructured data transformation and inference at the edge or in the cloud, SaaS platform providing data management services.

        $67K

        —

        —

        4

        2018

        Machine Learning Software

      9. 09
        yoona.ai

        yoona.ai

        Machine Learning Software

        yoona.ai is a unique SaaS solution which helps the fashion industry to optimize processes and save time and costs by our deep tech platform without designers burnout and encouraging sustainability.

        $28K

        $470K

        —

        1

        2020

        Machine Learning Software

      1-9 of 9

      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.