Examples

A transit agency, an online store and a trading desk

Three very different businesses with the same problem: more data than anyone can watch. They run on one Gemsen dashboard. Each stands in for many others, from banks and factories to hospitals and security teams.

The agency The store The desk

The agency

A transit agency checking millions of tickets

6.4 million ticket checks and 3.5 million card payments over six months. Every station, ticket type and hour has its own learning engine.

3,024learning engines, one for every station, ticket type and hour

Watch: Nothing missed1:25

83alarms at once in card payments. It looked like an attack. There were 25,705 payments against 26,564 the day before, more of them by phone, and none failed a card check. Nobody’s card was blocked.

1 of 22,031payment sessions was a fake attack we hid. It ranked first of the ten worth a look. Planted test

8 alertson one day. Seven were small numbers on a quiet day, set aside with a reason. The one kept was a change we had planted. Planted test

56 secondsfor the morning briefing, with 32 of 32 figures checked against the data. Asked about ticket prices, it said the data holds none.

The store

An online store with seven months of shopper clicks

Its learning engines each watch one part of the store, and the store’s managers can describe anything else they want watched.

20,000learning engines, all current again in about two minutes a day

Watch: It learns what matters1:28

9 daysafter a manager described a watch in plain words (one brand’s cheapest appliances, for returning shoppers), it fired on a real rise.

Every alert the AI reviews gets a verdict and a reason. Each verdict tunes that learning engine, and every change is logged.

The desk

A trading desk that received 923,744,247 messages in one day

One trading day of Nasdaq messages.

50stocks watched in full depth

Watch: Within reach1:20

2 minutesafter we made one trading venue quietly worse, it was flagged, while the 50 stocks around it looked normal. Planted test

39 secondsfor a what-if question about an order, with 48 of 48 figures checked. Asked about commissions, it said the data holds none.

8,000Nasdaq stocks kept current every minute in a scale test.

Every change to an alert setting sits in the log with its reason, so anyone can see why the system behaves as it does.

Your data already holds the answer. Gemsen gets it to you while it still matters.

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