Digital transformation and data analytics services for enterprises
Arting Digital is a 51–200 person services organization based in Chandigarh, India, focused on custom data platforms, analytics, and digital transformation. The stack spans full-stack JavaScript (Node.js, Express, React, React Native), Python backends (Django, Flask), and infrastructure-as-code (Docker, Kubernetes, Terraform, Azure DevOps). They're actively adopting LangChain, LlamaIndex, and MCP — indicating a pivot toward generative AI and LLM-based solutions. The engineering-dominant hiring profile (74 engineers, 17 data roles) paired with projects in ML systems, data platform development, and generative AI suggests a shift from pure consulting toward IP-based offerings.
Notable leadership hires: Lead Generation Specialist, Data Platform Lead
Arting Digital delivers digital transformation consulting and custom software development to mid-market and enterprise clients across marketing, analytics, and platform modernization. Their service areas include data-driven analytics implementation, website and mobile application development, and enterprise system integration (notably ERPNext implementations). The company operates primarily in India and staffs projects across full-stack development, data engineering, and infrastructure. Active project work spans e-commerce platforms, social media applications, disaster recovery architecture, ML pipelines, and design systems — indicating both client-services and internal product development activity.
Node.js, React, React Native, Python (Django/Flask), MongoDB, PostgreSQL, MySQL, Docker, Kubernetes, Azure, AWS, Terraform, Azure DevOps, Git, GitHub. Now adopting LangChain, LlamaIndex, and MCP for AI/LLM capabilities.
Chandigarh, Punjab, India. The company was founded in 2021 and operates within the 51–200 employee range, with all hiring currently focused in India.
E-commerce platforms, ERPNext enterprise implementations, scalable data platform and backup/disaster recovery solutions, generative AI and LLM projects, end-to-end ML systems, design systems, and social media platforms. Key challenges include AI reliability, data pipeline scaling, and ERP adoption complexity.
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