🧠 Yordando Intelligent Scheduling Engine

Automates how processes are planned, assigned, and executed:

  • Standardized task templates to model a process (steps, roles, dependencies)
  • Coordinating between humans, devices and machines
  • AI-powered scheduling engine that will react to delays, changes and disruptions just-in-time
  • Human-centered design with feedback loop (users can interact via apps or embedded devices)
From Excel to Execution: Dispatch, execute, and adapt — all in real time.

🌍 Use Cases

  • 🏭 Manufacturing: Restaurant kitchens, line inspection, shift handover
  • 🚚 Logistics: Warehouse sorting, delivery dispatch
  • 🏗 Construction: Material tracking, timeline adjustment
  • 🧰 Field Services: Multi-role team coordination
  • 🛰 Starlink-driven IoT: Cross-device task routing under dynamic mesh
  • 🤖 Human-AI Collaboration: Dispatch tasks to drones, bots, or LLM agents in real-time

🧠 See it in action!

We have evaluated Yordando with real people in real environments at two restaurant kitchens in Shanghai.

A second round of field test is planned for June and July 2025 including manufacturing plants.

Furthermore, the Yordando solution is protected by a PCT patent application (PCT/IS2024/050019).

📈 Vision

As billions of devices, humans, and AI systems become interconnected,

The real challenge isn't connectivity — it's intelligent coordination.

While others focus on automation, we're solving the orchestration problem.

Yordando is translating logic into timely execution – across teams, machines, and systems with people at its center.

We're not just building yet another scheduling tool: we're defining a new operation model for how tasks, people, machines, and even AI coordinate just in time.

💼 Team

Herwig Lejsek

CEO – Herwig Lejsek, PhD

Co-founder & 12-year CEO of Videntifier Technologies. Led AI video matching technology used by Interpol, Europol, DHS, NCMEC, Korean Police. Technology licensed by Facebook. Awarded EUREKA Eurostars Success Story.

Zhang Kun

CTO – Zhang Kun

Master's in Electronic Information Engineering from Tsinghua University. Expert in embedded systems and full-stack development. Led core system design for autonomous driving chips at BYD, ensuring stable and efficient delivery.

Wang Shuo

CSO – Wang Shuo

Master's from Peking University. Formerly with Baidu, Xiaomi, Naura, and China Association for Geographic Information Industry. Led Baidu's AI data labeling base and Xiaomi's AI office efficiency projects. Deep experience in AI industry applications, investment, and national policy research.