AI-powered CRM platform unifying sales, WhatsApp automation, and MSME workflows
Makunai Global operates a full-stack CRM platform built on Node.js, TypeScript, PostgreSQL, and Kubernetes — a mature infrastructure choice for a 2024-founded company. The tech stack reveals backend-heavy engineering (Java, Python, FastAPI, gRPC) paired with robust testing (Selenium, Cucumber, Robot Framework), signaling confidence in system reliability. Sales hiring dominates the active roles (11 of 28), and the project list shows aggressive go-to-market focus: ABM initiatives, account penetration, market research on sales hiring — typical of a sales-led company scaling into enterprise.
Makunai Global is a CRM platform focused on India's MSME and mid-market segments, integrating sales tracking, WhatsApp automation, IVR, and inventory management into a single application. The company serves retail, financial services, real estate, logistics, manufacturing, and D2C commerce verticals. They operate with a sales-first go-to-market, evidenced by their active hiring velocity and emphasis on enterprise account acquisition. The product suite includes a core CRM (Maglo), WhatsApp automation (Babbler), and adjacent tools for stock management and accounting — positioning Makunai as a broad operational stack rather than a single-purpose CRM.
Node.js, TypeScript, PostgreSQL, MySQL, Kubernetes, Docker, Jenkins, and AWS/GCP. Testing suite includes Selenium, Cucumber, TestNG, and Robot Framework. Backend services use Java, Python, Django, and FastAPI.
Go-to-market expansion (ABM, account penetration), backend scalability, enterprise sales hiring, data-driven decision-making, and A/B testing for campaign optimization.
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