Company
AI agents for financial risk teams.
CheckNexa builds AI agents for financial risk teams, starting with customer verification and fraud case preparation.
Stronger decisions. Safer tomorrow.
What we're building
The work before the investigation.
Fraud teams are judged on investigations. Most of their day is spent on everything that happens before one: reading the alert, reaching the customer, asking a fixed set of questions, writing it all down, and shaping it into something reviewable.
That preparation is necessary, repetitive, and almost entirely scripted — which makes it a good fit for an AI agent and a poor use of a trained analyst.
CheckNexa takes the first conversation. It calls the customer, says plainly that it is automated, works through the institution's approved questions, and hands over a documented case. What it never does is decide what the case means.
Principles
How we've chosen to build it.
Assist, don't decide
The product prepares cases. People determine outcomes. We have deliberately not built the controls that would let it do otherwise.
Say what it can't do
We publish the limits alongside the capabilities, and we don't quantify claims we cannot evidence — no fraud-reduction percentages, no savings figures, no accuracy numbers.
Institutions set the script
The agent asks what it has been approved to ask. Control over customer contact stays with the institution that owns the relationship.
Evidence over interpretation
What the customer said is stored separately from what the model inferred, and the record of what was said cannot be edited afterwards.