About Mycelium

The intelligence layer for everything that moves

Our Story

In 2015, we looked at the transportation industry and saw the same problem repeated everywhere. Airlines needed to move crew between airports and hotels. Retailers needed to deliver groceries to customers' doors. Enterprises needed to get employees to work across shift schedules. Every vertical faced the same Vehicle Routing Problem, but every solution on the market was built for just one use case.

We made a bet that one optimization engine could serve all of them. Separate the intelligence from the application layer, build the deepest constraint-handling solver we could, and let configuration (not code) adapt it to each vertical. Like its biological namesake, the vast underground fungal network that connects trees and plants across entire forests, Mycelium connects and optimizes complex transportation networks from a single intelligent core.

A decade later, that bet has been proven right. The same VRPTW solver that reduces airline crew transport costs by 25% also increases retail delivery route efficiency by 30%. A leading Israeli airline has run crew transport on Mycelium since 2016. Israel's largest supermarket chain has processed millions of delivery routes through the optimization API since the same year. Mycelium technology has powered mobility operations across four continents, with R&D, ISO/IEC 27001 certification, and the platform's largest production deployments anchored in Israel. Over 2 million routes and 18 million individual trips are optimized through the platform every year.

Our Go-to-Market

Built to live behind someone else's brand, surfacing only when our partners need to win

Mycelium has historically reached enterprises through strategic partners, embedding our optimization engine invisibly inside their platforms. Our largest partner uses Mycelium across an entire operations stack. Optimization API for self-service clients. Complete end-to-end deployment for complex enterprise customers with export to multiple vendors. The backbone of their international operations. Internal employee and field-team transportation. And as the core technology demo that helps them win new business.

This partner-channel approach has deployed our technology at 100+ enterprises across multiple verticals, from national retailers and major airlines to municipalities and ride-hailing operations. Our partners maintain client relationships under their own brand while our intelligence runs at scale behind the scenes.

Today we are expanding direct enterprise engagement alongside our established partner channels, making the optimization core that powers millions of trips available to operations teams worldwide.

Platform Philosophy

The principles that guide how we build
One Engine, Every Vertical

A single optimization core serves corporate commute, last-mile delivery, crew transport, field service, student transport, on-demand rides, shuttles, fuel delivery, and sustainable mobility. Intelligence compounds across all of them.

Configuration Over Code

New customers with unique business rules, constraints, and integrations can be onboarded in minutes without any code changes. This configuration-driven approach dramatically reduces time-to-value and enables rapid scaling through partner channels.

Real-World Constraints

The VRPTW solver handles dozens of simultaneous constraints that reflect the messy reality of transportation operations. Time windows, capacity, territory, driver rules, VIP logic, centrums, soft constraints with tolerance. Theory meets practice.

Proven at Scale

Over 2 million routes and 18 million trips optimized per year across partner channels. 100+ enterprises deployed through partner integrations. 10 years in continuous production. The platform has earned its credibility through sustained, real-world performance.

2015 Founded
9 Verticals Served
10 Years In Production
18M+ Annual Trips Optimized

Security and Compliance

Enterprise-grade security for sensitive transportation data
ISO/IEC 27001:2022 Certified

Mycelium LTD holds ISO/IEC 27001:2022 certification (Certificate #100326059706) for the development and operation of SaaS systems for transportation and shipment management. The certification was issued in March 2026 by ARS Assessment Private Limited and covers the company's complete Information Security Management System.

This certification demonstrates our commitment to international security standards and provides enterprise customers with assurance that their data is handled according to rigorous security protocols. We undergo regular external audits to maintain compliance.

The platform is built as a cloud-native multi-tenant SaaS application with strict data isolation between tenants, role-based access control, and comprehensive audit logging. All data is encrypted in transit and at rest.

Technology

A decade of algorithmic refinement in production

At Mycelium's core is an AI-powered Vehicle Routing Problem with Time Windows (VRPTW) solver that has been refined through 10 years of production use across diverse verticals and geographies. The engine uses metaheuristics, constraint programming, and machine learning to find near-optimal solutions to NP-hard routing problems in seconds.

The solver factors in both real-time and historical traffic patterns. Routes are not just theoretically optimal based on distance, but practically optimal based on actual road conditions at the time of travel.

In production, Mycelium integrates with ride-hailing platforms, fleet tracking systems, notification services, HR systems, ERPs, and e-commerce platforms. The architecture is designed for high throughput and low operational cost at scale.

Multi-language, multi-currency, and multi-geography capabilities mean the platform serves global operations from a single deployment. The RESTful API-first architecture ensures every capability is accessible programmatically, enabling deep integration with existing business processes.

Want to know what your operation looks like running on this engine?

Bring a representative slice of your operation. We'll model what optimization, dispatch, and routing look like against it in 30 minutes.

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