AI-powered process automation platform for enterprise workflows
Makai Labs builds AI and RPA solutions designed to automate enterprise processes. The tech stack—Python/Flask backend with Next.js/React frontend, PostgreSQL/MySQL, and test automation (Cypress, Playwright, Selenium)—reflects a product-stage company focused on reliability and user experience. Active pain points around product reliability, enterprise deployments, and first-to-market validation indicate they are still hardening core automation capabilities rather than scaling horizontally.
Makai Labs develops adaptive process automation software that combines AI, machine learning, and robotic process automation (RPA) to streamline workflows across enterprises. Founded in 2021 by MIT alumni, the company is headquartered in New York with a distributed team spanning Uruguay, Serbia, Romania, Bulgaria, Peru, Chile, Brazil, Argentina, and the United States. The team of 11–50 is organized around engineering, product, and support functions, with current hiring focused on senior-level positions. Active projects center on a core automation platform pilot, go-to-market readiness, and support infrastructure maturity.
Backend: Python, Flask, SQLAlchemy, PostgreSQL, MySQL, SQL Server. Frontend: Next.js, React (Redux, MobX), Tailwind, Material-UI. Testing: Cypress, Playwright, Selenium. DevOps: Docker.
Makai Labs hires across nine countries: Uruguay, Serbia, Romania, United States, Bulgaria, Peru, Chile, Brazil, and Argentina. Engineering roles account for 12 of 26 active openings.
Other companies in the same industry, closest in size