Pecan AI Employee Directory

Software DevelopmentIsrael51-200 Employees

Pecan AI helps all businesses turn their data into precise, actionable predictions for growth and efficiency. Our platform uses generative AI to deliver accurate forecasts in days, not months - no code or data science experience needed.

No Data Science Team Needed: Empower your existing analysts and BI teams to build and deploy AI models. Pecan’s no-code interface and automated machine learning mean you don’t need PhDs or hard-to-find data scientists on staff.

Works with Messy Data: No pristine data required. Pecan handles the cleaning and feature engineering behind the scenes, so you can feed in real-world, messy datasets and still get reliable predictions.

Rapid Deployment & Results: Go from raw data to live predictive models in record time (often within days). Our automated model-building and built-in intelligence let you iterate quickly, so you can act on insights while they’re fresh and relevant.

High ROI Impact: Focus on opportunities that drive revenue and reduce costs. Pecan’s customers have significantly boosted marketing ROI, improved customer retention, and avoided the high costs of building in-house data science teams.

Friendly, Approachable Experience: Advanced AI, but in a user-friendly package. Pecan’s intuitive platform guides you step by step, making predictive analytics approachable for any data-savvy team - no intimidation or jargon.

Ready to turn your data into growth?
Visit www.pecan.ai to see Pecan in action, and follow us here for insights on how predictive analytics can power your business forward.

Find Pecan AI employees' phone numbers or email addresses

Pecan AI Global Highlights

Location
Employees

Asia
68

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  • Israel
    66
  • Turkey
    1
  • Saudi Arabia
    1

North America
31

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  • United States Of America
    31

Europe
8

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  • United Kingdom Of Great Britain And Northern Ireland
    4
  • Germany
    1
  • Ukraine
    1
  • France
    1
  • Portugal
    1

Africa
2

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  • South Africa
    2

Pecan AI's Leadership

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    O. D.
    Chief Architect
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    D. K.
    Vp Data And Analytics
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    T. M.
    Vp Product And R&d
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    D. C.
    Vp Operations
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    R. F.
    Vp Finance
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    J. B.
    Head Of Predictive Analytics
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    Z. B.
    Co-Founder And Ceo
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    N. B.
    Co-Founder & Cto
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Pecan AI Employee Metrics

100%
50%
0%
2025
2024
  • Analytics
  • Engineering
  • Education
  • Customer Success
  • Operations
  • Other
  • Sales
  • Marketing

Contact profiles from Pecan AI

Name
Title
Contact Info
Location
Last Update
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    A. A.
    Office Manager And Employee Experience
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    Aug 09, 2025
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    R. G.
    Gen Ai Team Lead
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    Israel
    Aug 03, 2025
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    O. S.
    Customer Engagement Manager
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    Israel
    Nov 12, 2025
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    R. S. F.
    Strategic Customer Success Manager
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    Nov 11, 2025
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    A. B.
    Machine Learning Team Lead
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    Israel
    Jan 11, 2025
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    S. R.
    Software Engineering Team Lead
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    Israel
    Dec 26, 2024
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    Y. O.
    Customer Success Manager
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    Nov 12, 2025
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    A. P.
    Well- Being Lead And Women S Services
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    United KingdomEngland
    Feb 04, 2024
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    H. M.
    Senior Manager Analytics
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    United StatesNew York
    Oct 22, 2024
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    N. B. M.
    Senior Software Engineer
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    Israel
    Nov 12, 2025

Frequently Asked Questions

What is Pecan AI known for?

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Pecan AI was founded in 2018 operates in the Software Development industry. The company's main headquarters is located in Tuval 40 St, Sapir Tower, 24th Flr Ramat Gan, Israel 5252247, IL. Explore Pecan AI's company overview page for more information.

What is Pecan AI's most common email format?

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Pecan AI employees' email format typically follows the pattern of . Trying to find reliable and up-to-date employee contact data? Find more Pecan AI email formats with LeadIQ.

How many employees does Pecan AI have currently?

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Pecan AI has approximately 83 employees as of October 2025. These team members are located across 4 continents, including AsiaNorth AmericaEurope.

Who are Pecan AI's key employees and leadership?

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As of October 2025, Pecan AI's key employees include:

  • Chief Architect: O. D.
  • Vp Data And Analytics: D. K.
  • Vp Product And R&d: T. M.
  • Vp Operations: D. C.
  • Vp Finance: R. F.

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