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Crayon Data Tech Stack

AI-driven personalization and revenue acceleration for banking and fintech

Technology, Information and Internet Singapore 201–500 employees Founded 2012 Privately Held

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.

Tech Stack 17 technologies

Core StackPython TensorFlow PyTorch Hugging Face LangChain AWS Java Scala Apache Spark Kafka Docker Kubernetes LlamaIndex Azure GCP PowerPoint Google Slides

What Crayon Data Is Building

Challenges

  • Adopting genai
  • Implementing agentic automation
  • Enterprise-scale transformation
  • Fraud detection
  • Operational intelligence

Active Projects

  • Scalable genai solutions for risk modeling
  • Agentic workflows for fraud detection
  • Ai platform productization
  • Intelligent document processing
  • Ai platform development
  • End-to-end engineering of ai prototypes
  • Cloud-native deployment on aws/azure/gcp

Hiring Activity

Accelerating6 roles · 3 in 30d

Department

Data
2
Engineering
1
Marketing
1

Seniority

Director
2
Junior
1
Lead
1
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About Crayon Data

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.

HeadquartersSingapore
Company Size201–500 employees
Founded2012
Hiring MarketsIndia

Frequently Asked Questions

What AI technologies does Crayon Data use?

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.

Where does Crayon Data hire engineers?

Primarily India. Current active hiring spans data, engineering, marketing, and leadership roles across director and junior levels.

What is Crayon Data working on?

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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