Crayon Data delivers AI-led revenue acceleration for enterprises with Tangram AI—agents, models, and industry solutions that turn data into growth.
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Sign InMayaAI, powered by Crayon Data, is an AI-driven platform designed to accelerate enterprise revenue by transforming complex data into actionable, personalized growth strategies. Its core offering, Tangram AI, integrates a suite of agents, models, and industry-specific solutions to help businesses unlock the latent value in their data ecosystems. The platform's primary value proposition lies in its ability to move beyond generic analytics to deliver hyper-personalized experiences and recommendations at scale, directly impacting customer engagement and commercial outcomes.
Key features: The platform provides a comprehensive set of capabilities including AI-powered personalization engines that tailor customer interactions across digital channels. It offers data-as-a-service and recommendation-as-a-service modules, enabling businesses to deploy sophisticated algorithms without deep in-house expertise. Specific solutions include marketplace-as-a-service for building B2B or merchant platforms, and customer experience-as-a-service for end-to-end journey optimization. For example, in banking, it can personalize product offers in real-time based on transaction behavior, while in travel, it can dynamically bundle services.
What sets MayaAI apart is its focus on industry-specific 'as-a-service' solutions rather than just providing generic AI toolkits. The Tangram AI ecosystem is built to handle big data environments and integrates with existing enterprise systems like CRM and core banking platforms. Its technical architecture emphasizes composability, allowing clients to mix and match different AI agents and models to solve particular business problems, from fraud detection in fintech to personalized insurance underwriting.
Ideal for large enterprises and digital-native companies in sectors like banking, financial technology, insurance, travel, and retail that possess significant customer data but struggle to monetize it effectively. Specific use cases include banks seeking to increase credit card adoption through personalized offers, travel companies aiming to boost ancillary revenue, and retailers wanting to build intelligent marketplaces. It is particularly valuable for organizations looking to implement sophisticated AI personalization without building the entire data science infrastructure from scratch.
Pricing follows a freemium model with the core platform accessible for trial, while enterprise-grade solutions and high-volume services require custom quotes based on data volume, modules deployed, and required support levels.