AI platform that turns conference attendance into qualified pipeline
Vendelux builds an AI-native platform designed to convert in-person events into measurable sales outcomes. The stack—TypeScript + React + Node.js + Python + Django on AWS/GCP, paired with Snowflake + Dagster for data pipelines and LangChain + Hugging Face for AI—reflects a product centered on real-time attendee interaction intelligence and predictive funnel modeling. The hiring velocity (29 roles posted in 30 days) is heavily weighted toward sales (10 open), signaling a sales-led go-to-market push into event marketing teams and conference organizers.
Notable leadership hires: Chief of Staff
Vendelux serves event marketers, conference organizers, and attendees with a platform that applies AI and machine learning to in-person marketing workflows. The core product surfaces are meeting automation (1:1 booking at conferences), predictive attendee insights, and event ROI reporting and attribution. The company operates across the United States, Canada, and the United Kingdom with a 51–200 person team based in New York. Active projects include an event insights platform, integrated funnel and revenue forecasting, and playbook development for in-person engagement strategy. The pain-point frequency (opaque event data, lack of insights, ROI measurement challenges) reflects a market where event marketing remains underinstrumented compared to digital channels.
TypeScript, React, Node.js, Python, Django, MySQL, PostgreSQL, AWS, GCP, Snowflake, Dagster, LangChain, Hugging Face, and Apache Airflow. Recently adopting RAG for retrieval-augmented generation pipelines.
New York, New York. The company actively hires across the United States, Canada, and the United Kingdom.
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Vendelux'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 →
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