Digital Iron provides an AI‑driven aftersales platform that consolidates manuals, service histories, and parts data into a searchable interface for heavy‑machinery service teams. The system diagnoses faults, recommends repair steps, and generates accurate quotes using historical labor and parts cost data, while fleet analytics highlight recurring issues to improve parts stocking and first‑time‑fix rates.
Funding
$2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
2OFounders
Product
Problem
Heavy‑machinery service teams often struggle to locate relevant documentation, service history, and parts information quickly, leading to delayed troubleshooting, inaccurate repair quotes, and repeated work.
Solution
Digital Iron offers an AI‑driven aftersales platform that aggregates manuals, service records, work orders, and parts data into a single searchable interface. The system analyzes historical jobs to suggest probable fault causes, outlines required repair steps, and identifies the exact components needed. By leveraging past labor times and parts costs, it generates precise repair quotes, helping dealerships and OEM service centers approve jobs faster. The platform also surfaces fleet‑wide patterns, enabling proactive parts stocking and higher first‑time‑fix rates.
Target Audience
Primary customers are heavy‑machinery dealerships, OEM service centers, and field service teams that manage repair and maintenance of equipment such as excavators, crushers, and rollers.
Features
- Integrated knowledge base combining equipment manuals, service histories, and bill‑of‑materials for comprehensive troubleshooting
- AI‑powered fault diagnosis that ranks likely causes and recommends step‑by‑step repair actions
- Parts search with supersession handling and historical usage data to ensure correct component selection
- Automated quote generation using real‑world labor and parts cost metrics
- Fleet analytics that highlight recurring issues across machines and locations to inform stocking and maintenance strategies
- User‑friendly workflow that guides technicians from diagnosis through parts ordering to quote finalization