amp builds a connected home strength-training device, and its stack spans both sides of that product: embedded hardware tooling (STM32, Altium Designer, LTspice, Bluetooth Low Energy) alongside a cloud backend on AWS, Node.js, GraphQL and TypeScript. LangChain, LlamaIndex and CrewAI point to agentic AI work behind personalized programming. Current hiring is minimal, senior-only engineering based in Poland.
amp is a privately held company headquartered in New York, New York, with 51–200 employees. It makes an AI-driven strength training system for home use that combines adaptive resistance, guided programming and progress tracking in a compact device. The company sells direct to consumers and is building backend infrastructure for its e-commerce channel. Its team covers hardware design, software engineering and training expertise, with a native Android app on Kotlin and Jetpack Compose in development.
amp runs on AWS with DynamoDB, Elasticsearch, Node.js, GraphQL and TypeScript, uses Kotlin and Jetpack Compose for Android, dbt and Snowflake for data, and Terraform, Kubernetes, Prometheus and Grafana for infrastructure.
Yes. amp's stack includes LangChain, LlamaIndex and CrewAI alongside Python, supporting the AI layer of its personalized strength training system.
amp's current hiring is limited to senior engineering roles in Poland, with overall hiring velocity described as minimal.
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amp's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.
