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SafeAI

Autonomous retrofit platform for heavy equipment

Multi-sensor autonomous retrofitting platform that converts existing construction and mining equipment into fully autonomous vehicles using LiDAR, radar, cameras, and AI.

$59M raised 📈 Growth Stage
Founded 2018 MACA (100+ autonomous vehicles deployed), Obayashi Corporation (300+ vehicles retrofitted), Siemens partnership for zero-emission autonomous construction fleets

Why This Tool Exists

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The Problem

Construction and mining companies must choose between purchasing expensive new autonomous equipment (hundreds of thousands of dollars per vehicle) or continuing with manual operation. Equipment downtime during retrofits costs operators $5,000+ per day in lost productivity.

The Solution

SafeAI retrofits existing heavy vehicles (dump trucks, haul trucks, dozers) with autonomous hardware (LiDAR, radar, cameras) and ASIL D-certified safety software. The retrofit approach preserves equipment assets, enables rapid deployment without vehicle replacement, and reduces operational costs while improving safety and productivity.

How You Use It

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Delivery Method

Hardware Installation SaaS
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Integrations

Not publicly specified
Disciplines
Construction, Civil Engineering
Project Phases
Construction Administration, Operations/FM
Project Types
Commercial, Infrastructure, Industrial

Data Transparency

Exactly what this tool uses and how

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Input

What it needs

Required: Existing heavy equipment (dump trucks, haul trucks, dozers, excavators), Vehicle specifications and dimensions, Site operational parameters
Optional: Existing GPS systems, Fleet management data, Custom safety requirements
Formats: Technical equipment specifications, Site maps and terrain data, Operational workflow documentation
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Output

What you get

Format: Fully autonomous heavy equipment with real-time monitoring dashboard
Fields: Vehicle location and status, Operational commands and execution status, Safety alerts and compliance metrics, Productivity metrics (tons moved, cycles per hour), Equipment diagnostics
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Algorithm

How it works

Model: SafeAI Autonomous Framework (SAF) - ASIL D-certified operating system purpose-built for heavy industry autonomous operations
Accuracy: ASIL D certification (highest automotive safety integrity level) achieved August 2023. Operational deployments with MACA (100+ vehicles) and Obayashi (300+ vehicles) demonstrate production-ready reliability
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Privacy

How your data is protected

Retention: Not publicly specified; retained for duration of fleet operation and business relationship
Training: Not publicly specified
Compliance: ASIL D certification (ISO 26262), IEC 61508, ISO 13849, ISO 19014-4
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API

Integration

Endpoint: Contact vendor for API access
Method: Not publicly documented

Use Cases

  • Autonomous haul truck fleets for large mining operations
  • Autonomous dump truck operations for construction sites and quarries
  • Autonomous dozer and grading operations for site development
  • Remote fleet management and monitoring across distributed work sites
  • Zero-emission autonomous vehicle deployment (via Siemens electrification partnership)
  • Safety-critical autonomous equipment operations in hazardous environments

Pricing

Free
Not available
Pro
Retrofit cost and operational fee structure not publicly specified; custom quotes based on fleet size and equipment
Enterprise
Custom pricing and support agreements available
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📚 Research Sources & Data Quality Last verified: 2026-02-01
Data Sources (9)
Verified Data (12)
problem, solution, deliveryMethod, disciplines, projectPhases, projectTypes, maturityStage, yearFounded, fundingTotal, customerBase, algorithm-asil-d-certification, compliance-certifications
Not Found (8)
integrations, pricing-structure, api-documentation, privacy-policy, data-retention-policy, data-training-practices, rate-limiting-details, detailed-technical-specifications
Our Commitment: We only include verified data from official sources. If information isn't publicly available, we mark it as "Not publicly specified" rather than guessing.

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