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.
Last updated Feb 8, 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