Quokka Labs LLP

Mobile AppServices16 weeksDuration$10,000 - $25,000Project cost

Rhubarb is an AI-powered gardening assistant designed to help home gardeners make smarter, data-driven decisions with minimal effort. Quokka Labs built “Ruby,” a conversational AI assistant that delivers hyper-local, context-aware gardening guidance through chat and voice interfaces. The solution leverages a multi-agent AI architecture combining GPT-based conversational AI, Retrieval-Augmented Generation (RAG), predictive machine learning models, and autonomous task agents. Ruby provides proactive alerts for weather risks, pest threats, and care schedules while continuously learning from user behavior. The platform reduced manual effort through 100% automated reminders, cut product delivery time by nearly 50%, and helped users achieve higher harvest yields with fewer crop failures. Built using Python, Django, LangChain, PostgreSQL, and OpenAI-based AI pipelines, Rhubarb delivers scalable, intelligent support for modern gardeners. Key Results: • 50% fewer crop failures • 27% higher harvest yields • 40% faster product delivery • Fully automated gardening workflows

SoftwareServices20 weeksDuration$25,000 - $50,000Project cost

SHL is a global leader in talent assessment and workforce management solutions. Quokka Labs partnered with SHL to design and develop a scalable, secure, and data-driven talent acquisition platform that addresses complex HR workflows, large-scale data management, and enterprise compliance requirements. The solution was built to handle high-volume, multi-source assessment data while ensuring strict adherence to global data protection regulations such as GDPR, CCPA, and HIPAA. We streamlined complex recruitment workflows, enabled real-time analytics for HR decision-making, and improved user adoption through an intuitive, user-centric interface. Key features included personalized test preparation, realistic skill simulation environments, and advanced data-driven insights to help organizations identify, assess, and manage top talent more effectively. The platform was delivered with a strong focus on security, performance, and scalability to support SHL’s global operations. Industry: Human Resources / Recruiting / HR Software Client Location: England (Global) Design Phase: 3 weeks Development Phase: 3 months Core Focus: Data security, workflow optimization, user adoption