Case Study: Profitmind unlocks scalable retail AI infrastructure with Admios

Profitmind closes $9M Series A with Admios

Profitmind, a retail intelligence startup, faced the engineering challenge of building a broad and demanding AI platform. They needed to acquire data from hundreds of retail websites, process it through a machine learning pipeline, and present it in a user-friendly front-end, all while managing fluctuating development demands. They partnered with Admios for senior engineering talent to build this scalable infrastructure without the overhead of traditional hiring.

Admios embedded a multi-disciplinary team that built the platform's core layers using a stack including Python, Kafka, AWS, and React. The solution evolved to deeply integrate AI-agent development, automating workflows and future-proofing the architecture. As a result, Profitmind secured a $9 million Series A round, won the 2025 Retail Innovation Award, and onboarded major retail clients, with Admios contributing directly to this market traction and technical foundation.

Profitmind