Incode provides an AI‑driven identity verification platform that combines facial biometrics, document authentication, liveness, OCR, and deep‑fake detection into a single, no‑code orchestration hub. Its proprietary frontier‑AI models and real‑time fraud analytics deliver high‑accuracy risk scoring and continuous monitoring for large enterprises in finance, e‑commerce, healthcare, and other regulated sectors, while supporting seamless API/SDK integration and compliance certifications.
Funding
$262M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Organizations face increasing fraud threats from synthetic identities, deepfakes, and compromised documents, which undermine onboarding, compliance, and transaction security. Traditional verification tools are fragmented, require multiple integrations, and struggle to keep pace with evolving AI‑generated attacks.
Solution
Incode delivers an AI‑driven identity verification platform that unifies biometric, document, liveness, OCR, and deepfake detection into a single orchestration hub. Proprietary frontier‑AI models, trained on billions of identity checks, provide high‑accuracy risk scoring and real‑time fraud signal monitoring. The platform offers a no‑code workflow builder, customizable branding, and API/SDK integrations that let enterprises deploy frictionless verification across web, mobile, and embedded experiences. Continuous analytics and cross‑checking of device and data reuse enable businesses to stay ahead of new attack vectors while maintaining regulatory compliance.
Target Audience
Primary customers are large enterprises in financial services, e‑commerce, healthcare, and regulated online platforms that require high‑volume, compliant identity verification and fraud prevention.
Features
- Integrated suite of AI modules: facial recognition, document verification, liveness detection, OCR, and deepfake detection (Deepsight) in one platform
- No‑code drag‑and‑drop workflow builder with pre‑built templates for KYC, KYB, age verification, and AML compliance
- Real‑time risk analytics and fraud dashboards that surface device reuse, synthetic ID attempts, and emerging threat patterns
- Cross‑check engine that correlates identity data across sessions to block coordinated fraud rings
- Scalable API and mobile/web SDKs for rapid integration into existing tech stacks with 256‑bit TLS encryption
- Brandable UI components that preserve a seamless user experience across channels
- Enterprise‑grade reliability (99.99% uptime) and compliance certifications (SOC 2 Type II, iBeta Level 3, FedRAMP‑Ready)