The Helix product

Four components. One privacy-preserving signal.

An Android SDK, an iOS SDK, an on-device anomaly model trained to each user's signature, and a UK-hosted control plane your risk team operates.

Android SDK

Kotlin. Distributed via Maven Central. Targets API 24+. Less than 10MB on disk including the on-device model. One engineer-day integration.

iOS SDK

Swift. Distributed via Swift Package Manager. Targets iOS 15+. Same integration profile, same size envelope, same model.

On-device anomaly model

TensorFlow Lite (Android) and Core ML (iOS). Trained per-user across 10–15 sessions. Parameters held encrypted in Android Keystore / iOS Secure Enclave.

Control plane

Multi-tenant SaaS on AWS eu-west-2 (London). Configure policy, review aggregated risk events, integrate via webhook or REST. UK GDPR-compliant by design.

On-device by design

Most mobile-fraud SDKs forward raw signal to a vendor cloud. Helix runs the analysis on the device and forwards only the score and structured metadata.

Continuous, not transactional

Helix scores every interaction with the host app — not just the moment of payment. You see behavioural drift before fraud, not after.

Mid-market priced

From £15,000 annual platform fee plus per-MAU consumption. Accessible to a 100K-MAU challenger; scales to a 5M-MAU incumbent without rearchitecture.

See it in your app.

Become a design partner — production access, white-glove integration support.

Become a design partner