Missing failure codes. Inconsistent technician notes. Invisible recurring failures. We analyze your CMMS data and show you what's actually going wrong — and what it's costing.
Your technicians describe a pump seal failure as "pump leaking from seal area", "REPL mech seal", "seal blew out again", "pmp lkg frm seal bad", and "fixed pump."
Your CMMS sees five unrelated events. We see one recurring failure costing you $180K a year.
Our AI expands abbreviations, understands industry jargon across 5 sectors, and classifies with transparent confidence scores.
200+ abbreviations · 5 industry taxonomies · ISO 14224 aligned · Every result includes a confidence score
Send us one export from your CMMS. Any format. We handle the rest.
Completeness, consistency, and usability — field by field. See exactly where your data breaks down.
Every technician note classified into standardized categories. Patterns emerge that were invisible before.
Downtime hours converted to dollars. Know which failures cost the most — with stated assumptions.
Equipment ranked by downtime, failure count, and MTTR. A prioritized action list, not a data dump.
Specific actions ranked by impact. "Fix this failure code." "Investigate this pump." "This PM isn't working."
How to fix data quality at the source — simplified codes, field rules, and technician quick-reference guides.
Transparent enough for your reliability engineer to defend to leadership.
40% completeness (critical fields filled), 30% consistency (date logic, duplicates, format), 30% usability (generic codes like "Other" flagged). Every field scored individually.
200+ term expansion layer → industry-specific LLM prompt (ISO 14224, GMP, FSMA context) → confidence scoring. Low-confidence results flagged, not guessed. Raw mapping provided for spot-checking.
Malfunction end − start = downtime. When timestamps are missing, estimated from created-to-completed time. Every estimate is labeled as an estimate. MTTR and MTBF calculated per asset.
You provide production $/hour (or we use industry defaults). Loss = downtime × rate. Every assumption stated in the report. Purpose: frame failures in business terms, not replace cost accounting.
No integration. No IT. No system access. We work entirely outside your environment.
Pull work order history from your CMMS. Any format. 10 minutes.
NDA signed first. Encrypted transfer. Your data stays confidential.
We auto-map your columns, run six analyses, generate the report.
Full report + 45-minute walkthrough. Every finding explained.
Download a sample report built from synthetic plant data. Exactly what you'd receive.
2,000 synthetic work orders. General manufacturing plant. Every section included.
Download Sample Report →Mutual NDA signed before any data exchange.
TLS 1.3 in transit. AES-256 at rest.
Raw data permanently deleted within 30 days.
Professional liability coverage on every engagement.
Every plant I looked at had the same problem — expensive CMMS platforms full of data nobody could use. The dashboards looked great. The numbers underneath were unreliable. MaintSignal exists to close that gap.
One data export. Five business days. Full intelligence report. Zero cost. If the findings aren't useful, you've lost nothing but 10 minutes of your admin's time.
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