AI-powered software platform automating AV project design and documentation
XTEN-AV builds an AI-driven design platform for audio-visual professionals, with a Python/Django backend and modern testing infrastructure (Playwright, Cypress, Selenium). Active projects show heavy investment in production GenAI features and RAG pipelines, while pain points cluster around scaling a global marketing engine — suggesting the company is transitioning from product-market fit toward growth-stage distribution challenges. Engineering-focused hiring velocity and backend-heavy project list indicate the platform is maturing technically ahead of go-to-market readiness.
XTEN-AV develops software that automates the design and documentation workflows for audio-visual professionals, including designers, integrators, and manufacturers. The platform replaces manual design processes with AI-powered automation, targeting efficiency gains in project delivery. Founded in 2019 and based in Union City, California, the company operates with 51–200 employees. Current hiring activity spans engineering, marketing, and sales functions, with active recruitment in India alongside US operations.
Python, Django, PostgreSQL, JavaScript, and TypeScript form the core. Testing relies on Playwright, Cypress, and Selenium. AWS services (IoT Core, KMS, SES) handle cloud infrastructure and communications; Node.js and Go support backend services.
Yes. Engineering roles dominate active positions (3 of 6 total roles), with recent postings at mid-level, junior, lead, and senior levels. Hiring extends to India in addition to US-based positions.
Production-ready GenAI features, AI-powered Django backend services, retrieval-augmented generation pipelines, and a global marketing engine. Current priorities include product launches and scaling content distribution infrastructure.
XTEN-AV'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.