Product and AI engineering consultancy for startups and enterprises
Shuru is a product engineering and AI consulting firm founded in 2021 by ex-leaders from Gojek, Flipkart, and Argor VC. The tech stack reveals a cloud-native, ML-forward organization: GCP and AWS infrastructure, Kubernetes and Docker containerization, TensorFlow and PyTorch for model work, and modern application layers (React, Next.js, React Native). The active project mix—AI-powered matching, ML pipeline governance, infrastructure-as-code, and mobile testing automation—aligns with stated AI-Native positioning. Current hiring is entirely engineering-focused (8 of 9 roles), weighted toward senior and lead levels, suggesting either scaling delivery capacity or ramping specialized capability in ML infrastructure.
Shuru provides product engineering, AI, and technology consulting to startups and mid-market enterprises across fintech, retail, and healthcare. Services span custom software development, AI and automation, cloud and DevOps, data engineering, and engineering team extension. The firm operates offices in India, UAE, Singapore, and Canada, with active delivery teams supporting infrastructure modernization, ML deployment, and product scaling. Leadership draws decades of experience building and scaling high-growth platforms; the company is privately held with 51–200 employees based in Singapore.
Shuru's stack includes GCP, AWS, Azure, Kubernetes, Docker, Terraform, Python, TensorFlow, PyTorch, React, Next.js, React Native, Java, and GitLab CI/CD. This reflects a cloud-native, containerized, ML-capable architecture.
Active projects include AI-powered matching systems, ML model deployment platforms, infrastructure-as-code implementation, model governance frameworks, scalable ML pipelines, and end-to-end mobile app testing automation.
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Shuru's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.