Rilla builds AI transcription and coaching software for outside sales reps and technicians in trades (HVAC, plumbing, electrical, roofing, solar, pest control). The stack—React Native, Python, PyTorch, OpenAI API, LiveKit—reflects a mobile-first, AI-heavy product focused on real-time conversation capture and analysis. Active projects span voice interfaces, mobile experience, and customer-data integration, while pain points cluster around scaling AI for unstructured field conversations and market expansion—indicating the company is mid-product-market-fit, pushing deeper into vertical adoption.
Rilla is a virtual ridealong platform for outside sales and service businesses. Field reps use the Rilla mobile app to record customer conversations; the platform automatically transcribes, analyzes, and surfaces coaching feedback to help reps improve pitch and close rates. Sales managers use the same data for async ridealongs—replacing time-intensive in-person observation. The product is built for trades verticals (HVAC, plumbing, electrical, roofing, solar, pest control) where face-to-face sales dominates and field rep quality directly drives revenue. The company is headquartered in New York, founded in 2019, and operates with a 51–200-person team across the US and Canada.
React, React Native, TypeScript, Python, Node.js, PostgreSQL, PyTorch, OpenAI API, FastAPI, AWS, LiveKit, and Redis. The mix reflects a mobile-first, AI-driven product architecture.
HVAC, plumbing, electrical, roofing, solar, and pest control—field service and outside sales verticals where technicians and reps interact with customers face-to-face.
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