echoloc
Get started
echoloc/ Companies/ Planned

Planned Tech Stack

AI platform for enterprise event management and procurement

Technology, Information and Internet Montreal, Quebec 51–200 employees Founded 2018 Privately Held
planned.com LinkedIn

Planned builds an AI-native operating system for corporate event management, with a product stack anchored in React, Next.js, and Python/TensorFlow. The company is scaling operationally and commercially into Mexico—hiring across ops, sales, and design roles—while tackling core product friction: event booking workflows, budget visibility, and real-time supplier competitiveness. The stack's depth in ML (TensorFlow, PyTorch, Hugging Face) paired with event-specific operational challenges suggests the product is moving beyond templates toward intelligent automation of sourcing and procurement.

Tech Stack 21 technologies

Core StackReact Tailwind CSS Next.js Figma Cursor HubSpot QuickBooks Fullstory TypeScript Node.js TensorFlow PyTorch Hugging Face Python macOS Framer LinkedIn Recruiter Framer Motion GSAP Protopie tRPC

What Planned Is Building

◆Challenges

  • Streamlining event booking process
  • Building local partner ecosystem
  • Negotiating commercial terms
  • Budget visibility and control
  • Maximizing budget control
  • Maintaining marketplace accuracy
  • Real-time competitiveness

▲Active Projects

  • Mexico-based events end-to-end
  • Develop new partnerships across mexico city, cancún, riviera maya, los cabos, and guadalajara
  • Ai-native operating system for corporate event management and procurement
  • Shared design system
  • Ai-assisted workflows
  • Supplier onboarding
  • Multi-country rollouts
  • Share of wallet expansion
  • Untapped pockets conversion

Hiring Activity

Accelerating6 roles · 6 in 30d

Department

Ops
2
Sales
2
Design
1
Product
1

Seniority

Mid
3
Junior
1
Manager
1
Senior
1
Company intelligence

Find more companies like Planned by tech stack, pain points and active projects

Get started free

About Planned

Planned provides an AI-powered platform for managing and procuring enterprise events. The product targets mid-market and enterprise procurement and operations teams who book, negotiate, and execute corporate events at scale. Founded in 2018 and based in Montreal with 51–200 employees, the company operates a two-sided marketplace connecting event organizers with suppliers and venues. Current expansion priorities center on Mexico, with active development of regional partnerships across Mexico City, Cancún, Riviera Maya, Los Cabos, and Guadalajara. The product roadmap emphasizes AI-assisted workflows, supplier onboarding automation, and multi-country rollout capabilities.

HeadquartersMontreal, Quebec
Company Size51–200 employees
Founded2018
Hiring MarketsMexico, Canada

Frequently Asked Questions

What tech stack does Planned use?

Planned's core stack includes React, Next.js, TypeScript, and Node.js for frontend/backend, with Python, TensorFlow, PyTorch, and Hugging Face for AI/ML layers. Design tooling includes Figma and Framer; operations use HubSpot, QuickBooks, and Fullstory.

Where is Planned hiring?

Planned is actively recruiting across Mexico and Canada. Current open roles span operations (2), sales (2), design (1), and product (1), with a seniority mix of mid-level, junior, manager, and senior positions.

What is Planned working on?

Planned is developing an AI-native operating system for corporate event management, with near-term focus on Mexico market expansion, supplier onboarding automation, AI-assisted workflows, shared design systems, and multi-country procurement scaling.

Similar Companies in Technology, Information and Internet

Other companies in the same industry, closest in size

F
Fluidstack
Technology, Information and Internet
G
Granola
Technology, Information and Internet
G
GC AI
Technology, Information and Internet
B
Brainbase Labs
Technology, Information and Internet

How this profile is built

Planned'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.