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Executive Summary: Which are the 10 New Heavy Machinery Companies to Watch?

  1. SILVER EYEZ (Japan): Provides an autonomous and electrification retrofit platform for heavy machinery to convert conventional systems into intelligent, low-emission machines.
  2. coaXion (Australia): Develops a heavy machinery fleet management platform that tracks usage, valuation, and carbon emissions for lifecycle optimization.
  3. FUPO TechLabs (India): Builds advanced construction equipment management software integrating GPS, telematics, and fuel sensors for real-time asset tracking.
  4. SenseiAlgo (Canada): Offers intelligent autonomy for industrial equipment through AI-based predictive maintenance, digital twins, and automated workflows.
  5. Autonomous Ag (Australia): Designs fully autonomous tractors with GPS and AI systems for real-time navigation, performance optimization, and precision farming.
  6. Robot Toolworx (USA): Specializes in AI-based maintenance technology that digitizes service procedures and enhances heavy machinery repair accuracy.
  7. SenseField (Japan): Develops smart heavy machinery retrofitted with LiDAR, radar, and AI-driven sensors to enable autonomous industrial operations.
  8. JUNOSIS TECHNOLOGY (Turkey): Builds an AI-powered excavator operator training simulator with dynamic terrain modeling and real-world control systems.
  9. Astute Systems (Australia): Provides real-time monitoring and predictive analytics for mining equipment using sensor networks and AI-driven hazard detection.
  10. Clear Telematics (USA): Offers a GPS tracking system that monitors heavy equipment performance, usage, and geolocation for preventive maintenance.

Global Startup Heat Map highlights New Heavy Machinery Companies to Watch

Through the Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering over 9M+ startups, 20K+ technology trends, plus 150M+ patents, news articles & market reports, we identified the top heavy machinery solutions.

The Global Startup Heat Map below highlights emerging heavy machinery companies you should watch in 2026, as well as the geo-distribution of 1170+ startups & scaleups we analyzed for this research.

According to our data, we observe high startup activity in the USA and India, followed by the UK. The top 5 Startup Hubs for Heavy Machinery are Dubai, Bangalore, Perth, Istanbul, and London.

 

 

 

New Heavy Machinery Companies & Startups to Watch [2026]

We hand-picked startups to showcase in this report by filtering for their technology, founding year, location, funding, and other metrics. These emerging heavy machinery startups work on solutions ranging from fully autonomous tractors and GPS tracking systems to smart heavy machinery and heavy machinery fleet management.

1. SILVER EYEZ – Autonomous & Electrification Retrofit Platform

  • Founding Year: 2024
  • Location: Tokyo, Japan

Japanese startup SILVER EYEZ provides an autonomous and electrification retrofit platform for heavy machinery. This solution integrates multiple OEM-agnostic technologies to convert existing machinery like excavators, dump trucks, dozers, and compactors into intelligent low-emission systems through modular retrofitting.

Moreover, the platform synchronizes autonomous driving capabilities with fleet and construction management software to facilitate coordination across diverse machinery and operational environments.

Its safety model, Collaborative Safety 2.0, assigns equal responsibility to machines and site personnel, improving transparency and accident prevention. By reducing fuel consumption and labor dependency, SILVER EYEZ helps address CO2 emissions and workforce shortages in construction, mining, and infrastructure projects.

2. coaXion – Heavy Machinery Fleet Management Platform

  • Founding Year: 2023
  • Location: Brisbane, Australia
  • Funding: Closed USD 2.65 million in Pre-Series A funding

Australian startup coaXion develops a fleet management platform for medium and heavy machinery. The system connects to onboard telematics to collect daily usage data, including fuel consumption, operating hours, and location. This enables real-time valuation and performance tracking across diverse equipment types.

 

 

Moreover, it enables cohort analysis and usage-based depreciation, helping operators assess asset life and replacement timing. The platform tracks carbon emissions and formats reports to meet compliance standards.

By aligning operational data with financial and environmental metrics, coaXion helps fleet managers to optimize asset lifecycles, reduce costs, and maintain regulatory alignment.

3. FUPO TechLabs – Advanced Construction Equipment Management Software

  • Founding Year: 2025
  • Location: Hyderabad, India

Indian startup FUPO TechLabs builds construction equipment management software for infrastructure-intensive sectors. It tracks and manages heavy machinery across multiple sites using GPS telematics, fuel sensors, and onboard diagnostics.

Moreover, the platform records equipment movement, usage, and fuel consumption in real time, reducing idle time and preventing misuse.

 

 

This solution enables QR-based authentication and e-log sheets for accurate job productivity tracking. The fuel monitoring module detects theft and compares actual versus ideal consumption.

This improves operational transparency and reduces unnecessary costs. FUPO TechLabs enables managers to increase fleet productivity and enhance return on investment.

4. SenseiAlgo – Intelligent Autonomy for Industrial Equipment

  • Founding Year: 2023
  • Location: Vancouver, Canada

Canadian startup SenseiAlgo delivers intelligent autonomy for industrial equipment through a multi-agent AI platform. It converts fragmented data from telematics, CAN bus, ERP systems, and sensor inputs into automated maintenance, scheduling, and procurement actions.

The system predicts equipment failures by analyzing sensor anomalies and historical usage patterns, then initiates repair workflows to reduce downtime. Its digital twin technology contextualizes asset data with operational parameters and technician notes, improving diagnostic accuracy.

Further, the conversational assistant enables fleet managers to retrieve insights, generate dashboards, and execute work orders. SenseiAlgo streamlines maintenance, reduces operational costs, and improves uptime for heavy machinery in mining, construction, and logistics.

5. Autonomous Ag – Fully Autonomous Tractors

  • Founding Year: 2024
  • Location: Melbourne, Australia

Australian startup Autonomous Ag develops fully autonomous tractors for agricultural operations. These heavy machines navigate farmland using integrated GPS and GNSS satellite systems. Moreover, it has built-in sensors and processors that enable obstacle detection, real-time monitoring, and execution of field tasks without human input.

Each tractor facilitates multifunctional workflows such as ploughing, seeding, and harvesting. Further, this solution uses machine learning algorithms to optimize performance and predict maintenance needs.

Autonomous Ag lowers enables farms to scale operations efficiently while improving crop yields, conserving resources, and maintaining consistent productivity across changing environmental conditions.

 

Want to Explore 1170+ Heavy Machinery Startups & Scaleups?

 

6. Robot Toolworx – AI-based Machinery Maintenance Platform

  • Founding Year: 2024
  • Location: Kearny, USA

USA-based startup Robot Toolworx specializes in AI-based maintenance for heavy machinery. It integrates digital maintenance procedures and automated repair tracking into a unified platform that streamlines the equipment maintenance lifecycle.

It leverages data-driven tools to enable construction and mining OEMs to perform accurate service while minimizing downtime. Moreover, the system enhances repair speed and reliability across diverse operational environments. Robot Toolworx strengthens operational efficiency across the heavy equipment sector through smart, integrated maintenance technology.

7. SenseField – Smart Heavy Machinery

  • Founding Year: 2024
  • Location: Sapporo, Japan

Japanese startup SenseField develops smart heavy machinery for autonomous industrial operations. It installs sensing modules such as LiDAR, radar, and AI-driven cameras onto existing equipment to enable automated navigation and task execution.

The system interprets terrain and object data in real time, allowing machinery to operate safely and efficiently without manual control. SenseField’s volumetric measurement feature calculates material quantities during excavation and transport, thereby enabling accurate resource tracking.

Further, its material recognition capability identifies construction inputs to streamline sorting and reduce operational delays. By converting conventional heavy machinery into intelligent, self-operating units, SenseField enhances productivity, minimizes human risk, and enables scalable site automation.

8. JUNOSIS TECHNOLOGY – AI-based Excavator Operator Simulation

  • Founding Year: 2023
  • Location: Istanbul, Turkey

Turkish startup JUNOSIS TECHNOLOGY builds an AI-powered excavator operator training simulation platform. The system replicates real construction tasks using dynamic terrain modeling and authentic machine controls.

Training modules include trenching, grading, and material relocation, supported by automated machinery and variable environmental conditions. Moreover, it tracks key performance metrics like digging efficiency and swing accuracy, providing detailed feedback for skill improvement.

The simulator includes emergency scenarios to reinforce safety protocols and operational readiness. JUNOSIS TECHNOLOGY helps organizations reduce operational risk, improve workforce readiness, and accelerate skill development across construction, mining, and infrastructure sectors.

9. Astute Systems – Real-time Monitoring & Predictive Analytics

  • Founding Year: 2024
  • Location: Fortune Valley, Australia
  • Funding: Raised AUD 875K in Seed

Australian startup Astute Systems deploys real-time monitoring and predictive analytics for heavy machinery in mining operations. It uses the GXA-1 and Nvidia Jetson Orin System-on-Module to process data from sensors, cameras, and wearables across mining sites.

The system identifies hazards such as gas leaks and structural weaknesses, and tracks worker health indicators like fatigue and stress. It analyzes equipment performance to anticipate failures before they occur. Robots equipped with the system handle dangerous operations such as drilling and blasting.

These tools reduce human exposure to risk and improve operational efficiency. By optimizing resource extraction and minimizing downtime, Astute Systems enables safer, more productive mining with lower environmental and financial costs.

10. Clear Telematics – GPS Tracking System

  • Founding Year: 2023
  • Location: Maple Plain, USA

USA-based startup Clear Telematics provides a GPS tracking system for heavy equipment. The system collects and transmits real-time data on location, engine performance, and fuel usage. It enables preventive maintenance scheduling based on actual operational hours. This reduces downtime and extends equipment lifespan.

Moreover, it includes geofencing alerts, theft prevention features, and utilization tracking to monitor productivity. Further, fleet managers use the system to streamline service records and optimize asset deployment. This improves operational efficiency and protects high-value machinery across construction, mining, and agriculture sites.

Discover All Emerging Heavy Machinery Startups

The 10 heavy machinery startups showcased in this report are only a small sample of all startups we identified through our data-driven startup scouting approach. Download our free Industry Innovation Reports for a broad overview of the industry, or get in touch for quick & exhaustive research on the latest technologies & emerging solutions that will impact your company in 2026!