Top SaaS Companies in Zurich

List of the largest SaaS companies in Zurich, Switzerland (Click to apply)

These are the top SaaS companies in Zurich, Switzerland. In todays day and age its possible to launch a company from anywhere. We wanted to show some love for Zurich by featuring these 14 companies with combined revenues of $35.8M.

Together, Zurich SaaS companies employ over 616 employees, have raised $15.0M capital, and serve over 25K customers around the world.

$0 - $1M ARR
  1. Flatfox AG $750.5K
  2. Doodle $750.0K
  3. Once $491.1K
  4. Haelixa $438.3K
$1M - $5M ARR
  1. Sherpany $4.0M
  2. Onedot $2.5M
  3. Arbalo $1.8M
$5M - $10M ARR
  1. Squirro $7.2M
$10M+ ARR
    1. 01
      Sherpany

      Sherpany

      Information Technology Software

      Developer of an enterprise-grade meeting management software designed to streamline executive and board meetings. The company's software helps companies to gain time to focus on decisions and improve the management of formal meetings, enabling organization

      $4M

      $2M

      0

      82

      2010

      Zurich

    2. 02
      Onedot

      Onedot

      Data Integration Software

      Onedot ist die erste intelligente Plattform zur Beschaffung, Aufbereitung und Distribution von Produktdaten für Handel und Industrie.

      $2M

      0

      30

      2014

      Zurich

    3. 03
      Arbalo

      Arbalo

      Information Technology Software

      $2M

      0

      25

      Zurich

    4. 04
      AlgoTrader

      AlgoTrader

      Information Technology Software

      Developer of an algorithmic trading software designed to automate trading strategies by following stocks and market risks in real-time. The company's platform integrates a chart library with pre-built technical indicators for market analysis, supports mult

      $1M

      $6M

      0

      31

      2007

      Zurich

    5. 05
      Parquery AG

      Parquery AG

      Artificial Intelligence Software

      Developer of a cloud based image analysis software designed to help drivers find available parking spots. The company's software uses computer vision, machine learning and snapshots from existing cameras to identify available parking spots in real-time as

      $1M

      0

      11

      2014

      Zurich

    1-5 of 5

    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.