Active

2016

116

-0.6%

$116M

Series C

4

7

1.7 years

Pecan AI automates predictive analytics to solve today’s business challenges: shrinking budgets, rising costs, and limited data science and AI resources. Pecan’s low-code predictive modeling platform provides AI-driven predictive analytics that guides data-driven decisions and helps business teams achieve their goals.With an intuitive, low-code interface, analysts set up accurate models in weeks, without data scientists. The platform enables easy implementation of predictive models, including customer churn, conversion, LTV, marketing performance, and more. The platform automates data prep, feature engineering, model building, deployment, and model monitoring.Unlike general-purpose platforms, Pecan provides actionable predictions tailored to specific business concerns. Individual-level predictions offer granular insights and integrate with popular BI interfaces and business systems. Learn more and sign up for a free trial or guided tour at pecan.ai.

-0.6%

-5.1%

-14.3%

Employee counts updated on a monthly basis.

NamePositionMilitaryClassificationContact
hiddenNoam Brezis
CTO8200AI Expert
hiddenZohar Bronfman
CEO8200AI Expert
NamePositionContact
hiddenAyala Peterburg
Board Member
hiddenHaim Sadger
Managing Partner, Partner and Board Member

$116M

TitleDateCapital RaisedValuationInvestors
May 2021
$35M
5
December 2019
$11M
2
February 2018
$4M
2
February 2022
$66M
7
ㅤInvestor NameInvestor TypeAUM ($)
Dell Technologies CapitalCorporate Venture Capital
GGV CapitalGGV CapitalVenture Capital$6.23B
GVGVCorporate Venture Capital$4.5B
Insight PartnersInsight PartnersVenture Capital$90B
Mindset VenturesMindset VenturesVenture Capital$80M
S CapitalS CapitalVenture Capital$221.5M
Vintage Investment PartnersVintage Investment PartnersInvestment Firm, Venture Capital$2.81B

7

Our AutoML platform automates data preparation, feature engineering and selection, and AI-based predictive analytics algorithms, to transform your raw data into actionable predictions in the shortest time possible. Automating feature engineering, feature selection, and encoding not only saves time on one of the most complicated parts of the predictive process, but it enables your outputs to improve as Pecan constantly trains and optimizes your models, prioritizing features as they change in importance over time. Matching the nature of your data, its size, and the predictions you require, Pecan constructs a large number of deep neural networks. After an exhaustive set of recursive competitions between multiple networks, only one fully trained neural network is left – uniquely evolved and refined for optimal performance and accuracy. Your first time using Pecan will yield predictions in just days. But it only gets better—Pecan’s AI-powered optimization will continually analyze your data to yield better, more accurate predictions as time goes on.

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