Data that thinks. Software that works.
IKARAS International builds high-fidelity synthetic fraud data and custom web and mobile applications. We work on the parts businesses usually struggle to buy off the shelf: realistic data for difficult risk problems, and software that actually fits the way people work.
Two specialist services under one name.
IKARAS combines synthetic-data work for fraud and risk teams with custom application development for businesses that need a product built around their own workflow.
Fraud data built to behave, not just look plausible.
Labelled synthetic transactions, identities and scenarios for training, testing, stress analysis and better coverage of difficult fraud patterns.
Make It Appen.
Customer apps, portals, dashboards and internal systems designed around the actual job, not around the limitations of a generic template.
We want the finished work to be useful before it is impressive.
That means understanding the real problem first, keeping the scope clear, and building something your team can actually put to work.
No forcing your risk problem or business workflow into a predetermined package.
Datasets, reports, applications and supporting material are structured to be used, not deciphered.
For the standard synthetic-data workflow, we can work without requiring raw customer transaction histories.
Start with what matters now, then expand scenarios, integrations or product features when there is a reason to.
What “custom” can actually look like.
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Enough to know whether we should talk.
Do you need our real customer data to create synthetic fraud data?
Usually, no. The standard IKARAS workflow is designed so we can work from the structure of your data, the fields your model expects, the business constraints and the fraud behaviour you want represented. That can make early experimentation and controlled testing much easier because teams do not have to move unnecessary raw customer histories simply to start exploring a problem.
Is synthetic data meant to replace our real data?
No, and we would not market it that way. Real-world validation remains important. Synthetic data is valuable because it gives you control over scenarios that may be rare, missing, highly imbalanced or difficult to share. It can complement your existing data and help you deliberately test situations that history has not supplied in convenient quantities.
What sort of apps does IKARAS build?
We can build customer-facing web and mobile applications, portals, dashboards, internal tools and connected admin systems. The interesting projects are usually the ones where a standard product gets close but still leaves important parts of the customer experience or internal workflow fragmented.
Can the product look fully like our own brand?
Yes. Branding is not limited to changing a logo and colour. Where the project calls for it, the navigation, information hierarchy, visual language and interaction patterns can be designed around your organisation so the final product feels intentional rather than obviously white-labelled.
Tell us what is missing.
A dataset you cannot obtain safely, a fraud scenario your model barely sees, or an app your current tools cannot quite become — that is enough to start.