Blockstamp
Blockstamp provides AI-native asset management software that centralizes equipment records, inspections, and work orders for industrial maintenance teams. The platform reduces machine downtime by up to 25% by using AI to summarize service histories, draft inspection reports, and flag records needing attention, while keeping human teams in control of final decisions.
- Artificial Intelligence
- Manufacturing / Industry 4.0
- Software Only
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Industrial maintenance teams often track equipment across disconnected spreadsheets, maintenance tools, and local site records, making it difficult to access a complete service history or identify issues quickly. This fragmentation leads to longer repair times, increased downtime, and higher maintenance costs.
Solution
Blockstamp provides AI-native asset management software that centralizes equipment records, inspections, and work orders in a single asset register designed around how operations manage equipment. The AI summarizes service histories, drafts inspection reports, and flags records that need attention, while maintenance teams review findings and make final decisions. Equipment records, inspections, and work orders stay together across sites, allowing teams to find an asset's service history, review inspection findings, and see open issues without searching through separate systems. The platform supports migration from spreadsheets and existing maintenance tools, and is improved through monthly feature reviews with the customer.
Target Audience
Primary customers are industrial maintenance teams managing forklifts, cranes, hoists, and production equipment across multiple sites, including operations currently relying on spreadsheets or fragmented maintenance tools.
Features
- Multi-site asset register consolidating equipment records, condition, service history, utilization, and reporting
- AI-assisted service summaries that condense maintenance history and flag records requiring closer review
- AI-driven inspection report drafting from digital checklist results and field notes, with exception flagging
- AI-assisted quoting workflows that read specifications and drawings, match historical pricing, and draft quote line items
- Workflow automation using AI or rules-based approaches for document processing, record matching, and routing
- Spreadsheet and system migration tools to replace legacy tracking methods