A scale test kept 8,000 stocks current every minute. When one trading venue quietly got worse, it was flagged two minutes later. Planted test
A store manager described a watch in plain words. Nine days later, it fired on a real rise. Every verdict since is in the log.
What your team gets
Nothing missed, no noise · 1:25 A fake attack we hid among 22,031 payment sessions ranked first. 1 of 22,031 How we know +
A transit agency runs 3,024 learning engines, one for every station, ticket type and hour. We hid one fake attack among 22,031 payment sessions. Ten were worth a look, and ours was first.
On another day, 8 alerts fired. Seven were set aside with a reason. The one kept was a change we planted.
Answers you can trust · 1:27 A morning briefing in 56 seconds, every figure checked. 32 of 32 How we know +
You ask in plain English. The AI does no arithmetic of its own: code computes every figure, and each is checked against the data before you see it.
When the data can't answer, it says so. Your data stays under your control, and if you choose, it can run entirely inside your own environment.
It learns what matters to you · 1:28 A watch described in plain words fired on a real rise. 9 days How we know +
Every alert asks your team: do you agree? A verdict makes that learning engine a little more sensitive or a little less, and every change sits in the log with its reason. Your team's judgment stays when people move on.
We give you the tools. You bring the insight. Together, we improve accuracy.
Within reach · 1:20 No data team needed. Learning engines run on other Gemsen projects. 100,000 How we know +
Most systems retrain overnight or weekly by reprocessing their history. At an online store, 20,000 learning engines are current again in about two minutes a day.
Because it runs so efficiently, we can deliver it at a fee that redefines the value proposition.