Labor and inventory management platform for multi-unit restaurants
Altametrics operates a 27-year-old enterprise back-office suite for restaurant chains, selling into operators where labor and food costs drive 60%+ of margin. The tech stack reveals a major pivot underway: the company is building retrieval-augmented generation pipelines, speech-to-text systems, and real-time inference infrastructure (LangChain, LangGraph, Whisper, PyTorch, FAISS, Pinecone, Weaviate, OpenAI API), suggesting a shift toward AI-powered workforce and inventory optimization. Active projects include accounting workflow audits and technology-stack process improvement, paired with hiring across engineering, sales, and finance — indicating both product modernization and sales-cycle tightening.
Altametrics provides labor-management, inventory, food-cost, and supply-chain software to large restaurant operators. The flagship product (eRestaurant) serves multi-unit chains; a separate HubWorks App Market targets smaller operators with 200 or fewer locations. Core modules include time-and-attendance (Clock), reporting and business intelligence (Xformity), and back-office integration. The company operates with 201–500 employees across the US, Philippines, and Romania, with recent hiring concentrated in engineering and sales roles.
Altametrics runs Python, Java, and Kotlin across backend and mobile (Android SDK). Data layer uses SQLite; ML infrastructure includes PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LangGraph, and vector DBs (Pinecone, Weaviate, FAISS). Deployment via Docker and Kubernetes; API layer via FastAPI.
Active projects include retrieval-augmented generation pipelines, speech-to-text systems, real-time inference optimization, and accounting workflow audits. The company is also optimizing its accounting technology stack and refining demo-to-close conversion processes.
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