Source-to-pay platform for corporate event sourcing and booking
Planned operates a marketplace connecting corporate event buyers with suppliers, using AI-assisted sourcing and booking to reduce procurement costs. The tech stack reveals a modern full-stack web application (React, Next.js, Node.js, TypeScript) paired with ML inference tools (TensorFlow, PyTorch, Hugging Face), suggesting the cost-saving engine is powered by predictive pricing or supplier-matching models rather than pure manual curation. Active hiring is broad across departments but shallow in depth — one head-of-marketing role signals leadership scaling alongside generalist IC expansion.
Notable leadership hires: Head of Marketing
Planned is a procurement platform for corporate travel and events, founded in 2017 and based in Montreal. The product combines human-driven sourcing with AI to handle supplier negotiations, venue selection, and booking at scale. Revenue model appears to be value-capture on savings: Planned claims to generate 13% or more cost reductions on multi-million-dollar event budgets for enterprise clients. Current priorities include marketplace expansion (new geographies and supplier categories), financial reporting improvements (cash flow forecasting, multi-currency consolidation), and demand generation through account-based marketing and attribution tracking.
Frontend: React, Next.js, Tailwind CSS, Framer Motion. Backend: Node.js, TypeScript, tRPC. ML/inference: TensorFlow, PyTorch, Hugging Face, ChatGPT. Analytics: Fullstage (user behavior tracking). Design: Figma, Framer, Protopie.
Montreal, Quebec, Canada. Founded in 2017 and currently 51–200 employees.
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