Maya

Maya, developed by Crayon Data, is an AI-powered platform designed to accelerate revenue growth for enterprises by leveraging its core Tangram AI engine. It transforms complex customer and market data into actionable, personalized insights and automated actions that directly drive sales, increase customer lifetime value, and optimize marketing spend. The platform's primary value proposition lies in its ability to move beyond traditional analytics to deliver prescriptive, AI-led recommendations and automated workflows that generate measurable business outcomes.

Key features: The platform's Tangram AI engine combines multiple AI agents and models to deliver specific capabilities. For example, its personalization engine can analyze transaction data to generate hyper-personalized offers for banking customers in real-time. Its predictive analytics module forecasts customer churn and identifies high-value cross-sell opportunities. Another core feature is automated campaign orchestration, which can trigger and manage multi-channel marketing sequences based on user behavior, such as sending a tailored email or app notification when a customer exhibits specific purchase intent signals.

What sets Maya apart is its focus on being an 'AI-first' platform built specifically for revenue acceleration, rather than a generic analytics tool. It integrates pre-built industry solutions for sectors like banking, retail, and telecommunications, which significantly reduces implementation time. Technically, it employs a combination of machine learning models for segmentation, recommendation, and next-best-action prediction, and is designed to integrate with existing CRM, CDP, and marketing automation systems via APIs. Its unique selling point is the Tangram architecture, which allows different AI models and agents to work in concert on a unified data layer.

Ideal for large and mid-sized enterprises, particularly in B2C industries with substantial customer transaction data. Specific use cases include retail banks aiming to increase credit card adoption, e-commerce platforms seeking to boost average order value through personalized product bundles, and telecom operators working to reduce subscriber churn. It is also valuable for marketing and growth teams that need to move from segmented campaign management to real-time, individualized customer engagement at scale.

The platform operates on a freemium model, offering a limited free tier for basic exploration and small datasets. For full enterprise deployment with advanced AI models, high-volume data processing, and dedicated support, pricing is customized based on data volume, number of AI agents used, and required service level agreements, typically starting in the range of several thousand dollars per month.