AI-driven personalization and revenue acceleration for banking and fintech
Crayon Data builds AI personalization engines for banking, fintech, and travel companies. The tech stack is heavily weighted toward generative AI (TensorFlow, PyTorch, Hugging Face, LangChain, LlamaIndex) and cloud infrastructure (AWS, Azure, GCP, Kubernetes), with active projects in agentic fraud detection, GenAI risk modeling, and intelligent document processing. This hiring profile—skewed toward data and leadership roles in India—suggests a shift toward enterprise-scale AI platform productization rather than pure personalization services.
Crayon Data operates an AI-driven revenue acceleration platform (maya.ai) serving enterprises in banking, fintech, and travel. The company, founded in 2012 and headquartered in Singapore with presence in India and the UAE, focuses on helping customers unlock data value and personalize engagement at scale. The platform is underpinned by three AI patents and runs cloud-agnostic across AWS, Azure, and GCP. Current product work spans agentic workflows for fraud detection, generative AI solutions for risk modeling, and intelligent document processing—indicating a pivot from rule-based personalization toward autonomous AI agents and operational intelligence.
TensorFlow, PyTorch, Hugging Face, LangChain, and LlamaIndex. The company also builds on AWS, Azure, and GCP for cloud deployment, with Kafka and Spark for data pipelines.
Primarily India. Current active hiring spans data, engineering, marketing, and leadership roles across director and junior levels.
Scalable GenAI solutions for risk modeling, agentic workflows for fraud detection, intelligent document processing, and cloud-native AI platform development across AWS, Azure, and GCP.
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