Computer vision platform for retail supply chain and in-store operations
Infilect builds AI-powered image recognition software for retail operations—supply chain visibility, shelf audits, inventory management. The stack is polyglot and orchestration-heavy (Kubernetes, Puppet, Ansible across GCP, AWS, Azure), reflecting a maturing platform that runs on-device and in cloud. Current projects cluster around scaling: production-grade deployment, data pipelines, on-device AI, and CI/CD infrastructure. Hiring is engineering-forward (6 of 9 active roles) with leadership gaps being filled, suggesting a shift from proof-of-concept toward operationalized systems.
Notable leadership hires: Tech Lead
Infilect is a SaaS platform delivering computer vision solutions to retail brands and retailers globally. The company uses patented image recognition and deep learning to automate supply-chain audits, in-store compliance checks, and inventory management—tasks traditionally done manually by field teams. Founded in 2018 and based in Bengaluru, Infilect operates across 51–200 employees, with engineering concentrated in India. The product runs on iOS and Android devices in-store, syncs to a cloud backend (GCP, AWS, Azure), and increasingly shifts compute to the edge (on-device AI). Revenue model is SaaS licensing to mid-market and enterprise retail customers.
Mobile: iOS, Android, React Native, Flutter. Backend: Python, Django, Node.js, Java. Data: SQL, Elasticsearch. Infrastructure: Docker, Kubernetes, Puppet, Ansible across GCP, AWS, Azure. Client-side: React, Angular, Vue. CRM: Salesforce.
Moving products from beta to production-grade, building data collection pipelines, implementing on-device AI, scaling CI/CD infrastructure, and deploying AI workloads across cloud and on-premise systems for retail customers.
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