AI-first software studio building startups and intelligent automation systems
F22Labs is a Chennai-based software studio building full-stack products for early-stage companies, with a heavy focus on AI/ML systems. The tech stack reveals a modern, polyglot engineering approach (Next.js, TypeScript, Python, FastAPI, Kubernetes, PostgreSQL, MongoDB) optimized for rapid product iteration and scaling—reinforced by active projects around RAG pipelines, LLM integration, and agent orchestration. Current hiring leans heavily toward senior and lead-level engineering roles, suggesting the studio is scaling beyond founder-led delivery into structured technical teams.
F22Labs operates as a software studio and AI innovation hub, taking startups from ideation through MVP, product scaling, and intelligent automation. They serve global early-stage companies with expertise across web and mobile development, AI/ML systems (computer vision, NLP, conversational AI, predictive analytics), and data engineering. The Chennai-based team of 51–200 focuses on high-quality delivery across web, mobile, and cloud applications, with recent project work centered on payments backends, personalization systems, and AI agent orchestration. The company was founded in 2014 as a partnership structure.
Next.js, TypeScript, Python, FastAPI, PostgreSQL, MongoDB, AWS, Docker, Kubernetes, React, Angular, Spring Boot, Redis, and GCP. They also work with RAG and Vertex AI for AI/ML features.
Active projects include payments and orders backends, personalization and engagement tracking, agent orchestration systems, RAG pipelines, and LLM integrations—reflecting their shift toward AI-powered product delivery.
F22 Labs'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.