Operational intelligence for technical service

Repair analytics for technical service operations.

Persistence Analytics turns repair history, operational data, and experienced judgment into evidence-backed actions—without replacing the systems your team already trusts.

Works alongside ERP, CRM, CMMS, spreadsheets, documents, and existing workflows.
BenchSight™ • illustrative service cockpit
24Open units
3.2Avg. repair attempts
7High-risk units
86%First-pass confidence
Recommended next lookRepeated output-power failures cluster around units with prior RF-stage repair history. Review board-level evidence before replacing additional assemblies.
Start with the problem

Use the history your operation already paid to create.

We help service organizations make recurring work easier to see, explain, and improve.

Repair performance

Reduce repeat repairs and rework

Connect prior symptoms, tests, parts, decisions, and outcomes so teams can spot recurring failure patterns sooner.

See the approach →
Knowledge continuity

Preserve technician knowledge

Keep the context behind good decisions available when experienced people change roles or leave.

Preserve what works →
Practical adoption

Use existing service data

Begin with approved exports and a bounded workflow instead of a disruptive systems replacement.

Start with what you have →
Platform & products

Start practical. Expand when the evidence earns it.

BenchSight™ is the first focused application. Helipad™ is the broader institutional-intelligence architecture behind it.

Commercial beachhead

BenchSight™

Service and repair analytics for complex equipment: recurring failures, risk signals, aging work, technician insight, and evidence-backed next actions.

Explore BenchSight →
Decision lineage

Patina™

Preserves institutional memory so organizations can understand what was known, what was decided, and why.

Expertise transfer

Lift™

Moves hard-won operational knowledge from experienced people into reusable organizational capability.

How it works

A measured path from messy history to useful action.

Connect

Use approved exports, files, databases, or integrations.

Normalize

Reconcile units, failures, repairs, dates, and outcomes.

Explain

Surface patterns with the supporting evidence attached.

Improve

Measure outcomes, retain learning, and expand carefully.

Initial customer fit

Built first for technical service and repair.

The best first customers have years of service history, recurring technical decisions, and costs they can measure in labor, downtime, warranty, rework, backlog, inventory, or customer impact.

What operational intelligence looks like
Multiple technicians, sites, or recurring failure categories
Historical service, test, repair, or warranty evidence
Data fragmented across systems, files, and local knowledge
A measurable operational problem with a clear owner
A willingness to prove value in one bounded workflow
Persistence Analytics

Keep the systems you trust. Add the intelligence they’re missing.

Let’s identify one costly, recurring service problem and the evidence already available to improve it.

aaron@persistence-analytics.com

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