All of our subscription tiers include premium support from our Customer Success team, who will provide ongoing support on an individual report basis where required. You’ll have a dedicated account manager available during UK working hours, and a feedback button on the report for all out-of-hours enquiries. We also offer a satisfaction guarantee - don’t pay for any report you’re not happy with.

Xapien is a subscription service with tiered pricing based on report usage. Our subscription model doesn’t distinguish between company and people reports - each counts as a single report. There are no extra “hidden” costs. Discounted prices are available for our University and Nonprofit clients. Just get in touch with one of our sales team to learn more.

All of our reports can be shared with non-users via a hyperlink and/or an exported pdf. A full white-label solution is available for enterprise clients.

Yep. We have an API which allows a workflow platform to call Xapien, kick off a report and the resulting report URL is returned.

Easy! We pride ourselves on our ease of integration with any existing process. Xapien is accessed via the web. Users will receive a URL with a link to the login portal, which they can access from any browser. Simply enter a password and you’re up and running. You’ll be able to run Xapien reports using your account and export, or share them to other people in your team.

We pride ourselves on our accuracy and see reducing false positives as one of our core selling points. But our NLP and inference goes far beyond name matching. Using Machine Learning, we have taught the system to identify the ‘meaning’ of words, for example to “poach” eggs being different to “poaching” elephants and also when potentially risky terms are negated, for example working in “counter”-narcotics. That said, what we are trying to do is very hard and no AI is 100% accurate so there will be times when we get it wrong. Please use the feedback buttons or get in touch with your Customer Success manager directly to let us know about these instances as we are continually working to improve the tool. The more examples of where it has gone wrong, the better we can make it.