KNIMEAnalytics1 / 15Read in the app

Pitch deck

KNIME's pitch deck

The deck, and the 2 rounds we watched KNIME raise afterwards, with the investors each report named.

KNIME, or Konstanz Information Miner, is a Swiss company specializing in data science and artificial intelligence. Founded in 2008, it offers an open-source platform that facilitates end-to-end data analytics, machine learning, and AI governance with minimal coding. Headquartered in Zurich, Switzerland, KNIME has expanded its reach to over 400 customers and nearly half a million users in more than 60 countries. The flagship product, the KNIME Analytics Platform, allows users to create analytical workflows through a visual interface. It supports various functions, including data integration, statistical analysis, machine learning, and data visualization. Additionally, KNIME provides KNIME Server, a commercial solution that enhances enterprise data science management, collaboration, and security. The company also focuses on AI governance and ModelOps, helping organizations monitor AI models and ensure compliance with regulations. KNIME serves diverse industries, including life sciences, financial services, retail, and government, making it a key player in the data science landscape.

15 slides2.3MBCHAnalyticsData/analytics

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What is in it

The deck, slide by slide

Each slide by what it argues. 15 slides against a median of 13 across the 1,712 decks we hold.

median
  1. 1Cover
  2. 2
  3. 3
  4. 4
  5. 5Product
  6. 6
  7. 7Product
  8. 8Financials
  9. 9Market
  10. 10Market
  11. 11Competition
  12. 12Product
  13. 13
  14. 14Product
  15. 15Product

CoverProductFinancialsMarketCompetition

  1. Aug 2024

    Venture$30M

    Invus

    Source recorded

  2. Mar 2017

    Round$22M

    Invus

    Reported by FinSMEs

Everyone who backed KNIME

KNIME pitch deck, cover slide1 / 15

The deck itself

Read KNIME's full pitch deck

All 15 slides, each read for what it argues and set against the decks that raised at the same stage. The cover is shown here; the rest is read in the app.

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