About
Incode AI Identity is an enterprise-grade identity verification and fraud prevention platform built on proprietary, frontier AI models and a massive global data network of over 4.1 billion identity checks annually. Recognized as a Leader in the Gartner® Magic Quadrant™ for Identity Verification two consecutive years running, Incode serves 8 of the top 10 U.S. banks, 8 of the top 9 U.S. telcos, and leading neobanks and marketplaces globally. The platform delivers end-to-end identity solutions including document verification, facial recognition, OCR, deepfake detection (via its Deepsight engine), age estimation, and Know Your Business (KYB) workflows. A no-code Workflow Builder lets teams orchestrate identity journeys without engineering overhead, while deep APIs and SDKs empower developers to integrate seamlessly. Fraud Analytics and Case Management dashboards give compliance teams real-time visibility into threats and sessions. Incode is purpose-built for industries such as financial services, healthcare, online gaming, e-commerce, and the public sector — anywhere KYC/AML compliance, age verification, or secure digital onboarding is critical. Its continuously evolving machine learning models adapt to new attack vectors including synthetic identities and AI-generated deepfakes, giving organizations the confidence to stay ahead of emerging fraud. With 99.99% uptime reliability and a modular core architecture, Incode scales to meet enterprise demands while maintaining a seamless, brand-aligned user experience.
Key Features
- Deepsight Deepfake Detection: The world's most accurate deepfake detection system, achieving iBeta Level 3 compliance on iOS and Android to protect against AI-generated identity fraud.
- Document Verification & OCR: Automated identity document capture, verification, and data extraction powered by computer vision and OCR across global ID types.
- No-Code Workflow Builder: A visual, no-code flow builder that lets teams design and orchestrate custom identity verification journeys with full UI customization and brand alignment.
- Fraud Analytics & Case Management: Real-time dashboards for monitoring fraud signals, reviewing flagged sessions, and managing compliance cases with end-to-end transparency.
- KYC/AML & Regulatory Compliance: Supports KYC/AML, KYB, age verification, and non-document verification workflows, helping enterprises meet global regulatory requirements efficiently.
Use Cases
- Banks and financial institutions verifying customer identity and meeting KYC/AML regulatory requirements during account opening.
- Online gaming and gambling platforms performing age verification and identity checks to ensure regulatory compliance.
- E-commerce marketplaces authenticating sellers and buyers to prevent fraud and build trust in transactions.
- Healthcare providers verifying patient identity during digital onboarding to ensure secure access to medical records and services.
- Enterprises detecting and blocking deepfake and synthetic identity attacks during user authentication and onboarding flows.
Pros
- Industry-Leading Accuracy: Backed by 4.1B+ annual identity checks and a Gartner Magic Quadrant Leader designation, Incode's AI models deliver top-of-benchmark performance.
- Comprehensive End-to-End Platform: Covers the full identity lifecycle — onboarding, authentication, fraud prevention, and compliance — in a single integrated platform with APIs and no-code tools.
- Adaptive Fraud Defense: Continuously evolving ML models detect and counter new threats like synthetic identities and AI deepfakes as they emerge.
- Enterprise-Grade Reliability: Offers 99.99% uptime SLA with modular integrations, deep enterprise partnerships, and a proven track record with the world's largest financial institutions.
Cons
- Enterprise-Focused Pricing: Incode is designed for large enterprises; pricing is not publicly listed and may be prohibitive or inaccessible for small businesses or startups.
- Implementation Complexity: While a no-code builder is available, full integration with APIs, SDKs, and compliance workflows requires technical resources and onboarding time.
- Limited Self-Serve Transparency: Prospective customers must request a demo to access pricing, detailed documentation, and trial access, creating friction in the evaluation process.
Frequently Asked Questions
Incode is used for AI-powered identity verification, fraud prevention, KYC/AML compliance, age verification, and secure digital onboarding across industries like banking, healthcare, gaming, and e-commerce.
Deepsight is Incode's proprietary deepfake detection engine, recognized as the world's most accurate system of its kind. It achieved iBeta Level 3 compliance on both iOS and Android under real-world attack scenarios.
Yes. Incode's Workflow Builder allows teams to design and deploy identity verification flows without writing code, including UI customization to match brand guidelines.
Incode serves financial services, healthcare, online gaming and gambling, e-commerce and marketplaces, public sector, and social media platforms that require regulated identity verification.
Incode provides APIs and SDKs for developers, along with a no-code Workflow Builder and pre-built platform integrations, enabling flexible deployment into existing tech stacks and customer journeys.
