Industries we know from the inside | VE Solutions

Industries we know from the inside

We don't start from zero in your industry. We know its data, its rules, and where things usually break.

Healthcare

The average health system uses 16+ different EHR vendors. Fewer than 1 in 3 can electronically exchange patient data.

EHR vendors in an average health system

Mining

Up to 2TB of operational data per day. Your maintenance AI misses most failure patterns.

of sensor data generated per day in a mine

Aquaculture & Fisheries

300+ variables per cage, every day. Without a graph connecting them, your AI sees numbers — not the mortality event coming in 72 hours.

in losses from a single algal bloom event in Chile — the data to predict it existed

Banking & Fintech

90-95% false positives in AML detection. Your compliance team chases ghosts.

of AML alerts are false positives — reducible by modeling relationships, not just rules

Legal & Compliance

$206B global compliance spend. Most still reviewing documents manually.

global compliance spend — most of it manual

Insurance

Claims processing takes 22 days average. The right automation reduces it to 3.

days claims processing time

Retail & E-commerce

Your recommendation engine doesn't understand product relationships.

increase in conversion with recommendations that understand product context

Telecommunications

70% of network outages take over 12 hours to resolve. Knowledge graphs map dependencies teams can't see.

of network outages take 12+ hours — graphs accelerate resolution

Government & Public Sector

The US federal government spends ~80% of its IT budget operating and maintaining existing systems, many of them legacy. Zero interoperability.

of US federal IT budget spent operating and maintaining existing systems, many of them legacy

Agriculture

Agriculture uses 73% of Chile's water, yet most farms still irrigate by calendar and spreadsheet. The data to irrigate better already exists — nobody's looking at it together.

of Chile's water is used by agriculture — most of it still irrigated by calendar, not by data

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