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Brief
Noogata

Noogata

Democratizes AI by enabling business users to build and deploy custom predictive models without coding or data science expertise, accelerating time-to-insight for marketing and sales teams.

noogata.comTel Aviv, IsraelFounded 2014

Last updated May 11, 2026

Industry
AI/ML Platform for Marketing Analytics
Business Model
SaaS
Target Market
Mid-Market, Enterprise
Employee Count
11-50
Funding
$15M
API Available
Yes
Market Position

Niche player in the no-code AI platform space targeting marketing and sales use cases

Overview

Noogata is an AI-powered no-code platform that enables businesses to build and deploy custom AI models without requiring data science expertise. The platform focuses on democratizing artificial intelligence by providing business users with tools to transform raw data into actionable insights across marketing, sales, and operations. While positioned at the intersection of AI/ML platforms and business intelligence, Noogata serves the broader MarTech and AdTech ecosystem by enabling companies to leverage predictive analytics and machine learning for customer insights, campaign optimization, and marketing performance improvement. The company's no-code approach differentiates it in a market where AI implementation traditionally required significant technical resources and data science teams.

Products & Features

No-Code AI Model Builder

Visual interface for building custom AI models without programming knowledge

Predictive Analytics

Tools for forecasting customer behavior, churn, and marketing outcomes

Customer Intelligence

AI-driven insights for customer segmentation and targeting

Marketing Optimization

Campaign performance prediction and optimization recommendations

Key Features
No-code AI model developmentAutomated data preparationPredictive analytics and forecastingCustomer segmentationChurn predictionCampaign optimizationReal-time insights dashboardModel deployment automation
Use Cases
Customer churn predictionLead scoring and prioritizationMarketing campaign optimizationCustomer lifetime value predictionAudience segmentationSales forecastingProduct recommendationCustomer behavior prediction
Customer Segments
Marketing teamsSales organizationsE-commerce companiesRetail brandsB2B companiesDigital agencies

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