Created an iOS software development kit (SDK)
Preventing Fraud with Identity Verification Solution iOS SDK
Microblink engaged in the complex development of an iOS SDK for BlinkID Verify, an advanced data integrity verification solution with sophisticated cross-matching technology, but needed niche skills to get it across the line.
Microblink is an R&D company focused on AI-powered computer vision software. Its digital identity and commerce products are used by 450 clients worldwide.
The client was building an iOS software development kit (SDK) for identity document scanning with cross-matching technology. Because the technology was complex, they needed talent with niche skills to finalize the SDK.
Notch assembled a dedicated mobile team to help Microblink finalize the BlinkID Verify iOS SDK. The team refined the SDK’s APIs and UX, integrated it with the BlinkID Verify platform, and supported rollout to early BFSI clients, resulting in a production‑ready solution for high‑accuracy document scanning and fraud prevention.
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1Develop iOS SDKCreate an iOS SDK to facilitate product support across Apple devices.
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2Flawless UXEnsure flawless UX across iOS-based devices.
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3Fast deploymentWith a short deadline, the client needed a team to help deploy the SDK fast.
Process
Align on goals, user journeys, and technical constraints through stakeholder interviews and product discovery workshops.
Shape the SDK architecture, public APIs, and mobile UX to fit BlinkID Verify’s fraud‑detection and cross‑matching capabilities.
Assemble a specialized iOS team, then iterate quickly using agile methods and AI‑powered tooling to implement and refine the SDK.
Test the SDK with real use cases, integrate it with Microblink’s verification platform, and support client‑side adoption and platform integration.
Share know‑how with Microblink’s internal teams and provide ongoing support and CI/CD‑backed updates for future releases.
Technologies & Services
BlinkID Verify is an advanced data integrity solution that scans documents with high accuracy and prevents fraud using cross-matching technology. Depending on client needs, flagged IDs can be reviewed, suspended, or managed accordingly.