AI-driven CRM, WhatsApp automation and workflow suite for Indian businesses
Makunai Global builds a unified CRM and customer-communication platform for Indian MSMEs and enterprises, spanning lead management, WhatsApp messaging, IVR and inventory workflows. The stack pairs Node.js, TypeScript, Django and FastAPI backends on AWS, GCP and DigitalOcean with a heavy QA toolchain (Selenium, TestNG, pytest, Robot Framework, Cucumber). Hiring is sales-led and has slowed, with pain points centered on enterprise deals and RFPs, pointing to an upmarket push.
Makunai Global is a privately held software company headquartered in Noida, Uttar Pradesh, founded in 2024 and employing 51–200 people. It offers a combined platform covering CRM, WhatsApp-based customer communication, IVR, B2C commerce and MSME workflow automation, with products including Makunai CRM (Maglo CRM) and Makunai WhatsApp (Babbler). The company targets startups, MSMEs and enterprise teams across retail, financial services, real estate, logistics, manufacturing and D2C commerce. Its offering also extends into inventory, stock management, property management and accounting tools. Current hiring is concentrated in India.
Makunai Global uses Node.js, TypeScript, Python, Django, FastAPI, Java, PostgreSQL, MySQL and Strapi, deployed with Docker, Jenkins and GitLab CI/CD across AWS, GCP and DigitalOcean.
Yes, sales is the main hiring focus at Makunai Global, mostly junior and manager-level roles in India, alongside smaller customer success and HR openings. Overall hiring velocity is currently minimal.
Makunai Global is headquartered in Noida, Uttar Pradesh, India. It was founded in 2024 and has 51–200 employees.
Other companies in the same industry, closest in size
Makunai Global'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.