Incode vs Signifyd Comparison: Reviews, Features, Pricing & Alternatives in 2026

Detailed side-by-side comparison to help you choose the right solution for your team

Updated Apr 2026 8 min read

Incode

0.0 (0 reviews)

Incode provides an automated identity verification and authentication platform that uses advanced biometrics to help you securely onboard customers and prevent fraud across digital channels.

Starting at --
Free Trial NO FREE TRIAL
VS

Signifyd

0.0 (0 reviews)

Signifyd provides an end-to-end commerce protection platform that uses machine learning to automate fraud prevention and guarantee payments for online retailers while improving customer conversion and reducing manual review costs.

Starting at --
Free Trial NO FREE TRIAL

Quick Comparison

Feature Incode Signifyd
Website incode.com signifyd.com
Pricing Model Custom Custom
Starting Price Custom Pricing Custom Pricing
FREE Trial ✘ No free trial ✘ No free trial
Free Plan ✘ No free plan ✘ No free plan
Product Demo ✓ Request demo here ✓ Request demo here
Deployment saas mobile on-premise saas
Integrations Salesforce Workday Microsoft Azure Amazon Web Services Google Cloud Slack Jira Shopify BigCommerce Magento Salesforce Commerce Cloud Adobe Commerce Microsoft Dynamics 365 SAP Commerce Cloud Stripe PayPal Adyen
Target Users mid-market enterprise mid-market enterprise
Target Industries finance gaming healthcare retail consumer-goods
Customer Count 0 0
Founded Year 2015 2011
Headquarters San Francisco, USA San Jose, USA

Overview

I

Incode

Incode offers a fully automated identity verification platform designed to help you build trust with your customers while keeping fraudsters at bay. Instead of relying on manual reviews that slow down your growth, you can use their AI-driven engine to verify identities in real-time. You can onboard users across web, mobile, and even physical kiosks using a single, unified identity journey that adapts to your specific security needs.

The platform solves the friction often found in digital sign-ups by using passive liveness detection and high-speed document verification. Whether you are a global bank looking to comply with KYC regulations or a marketplace needing to verify age, you can customize the experience to balance security and speed. It helps you reduce abandonment rates and operational costs by automating the entire identity lifecycle from initial onboarding to recurring authentication.

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Signifyd

Signifyd helps you grow your e-commerce business by removing the fear of fraud and the friction of manual order reviews. The platform uses a vast network of transaction data to instantly distinguish between legitimate customers and fraudulent attempts. This means you can automate your order flow, ship products faster, and stop losing revenue to false declines or chargebacks.

You can focus on scaling your brand while the software handles the complexities of payment compliance and risk assessment. Whether you are dealing with account takeovers or sophisticated bot attacks, the system protects your entire customer journey. It integrates directly with major commerce platforms, allowing you to manage your risk policy and recovery processes from a single centralized dashboard.

Overview

I

Incode Features

  • Passive Liveness Detection Confirm your users are real people in real-time without requiring them to perform awkward movements or gestures during the scan.
  • Automated ID Verification Verify over 4,600 types of government-issued IDs globally with instant data extraction and sophisticated forensic document analysis.
  • Face Recognition Match your user's live selfie against their ID photo or existing database records with high precision to prevent identity spoofing.
  • One-Click Onboarding Create a frictionless signup flow that completes in seconds, helping you increase conversion rates while maintaining strict compliance standards.
  • Age Verification Estimate or verify the age of your users automatically to ensure your platform meets legal requirements for age-restricted products.
  • Omnichannel Deployment Deploy your identity workflows across mobile apps, web browsers, and physical kiosks using a single integrated platform.
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Signifyd Features

  • Revenue Protection. Automate your order approvals with a 100% financial guarantee against fraud-related chargebacks on every approved transaction.
  • Abuse Prevention. Identify and stop non-fraud abuse like promotion gaming and false claims of items not received to protect your margins.
  • Account Protection. Detect and block account takeover attempts in real-time to keep your customers' personal data and loyalty points secure.
  • Decision Center. Customize your risk appetite by creating specific rules and policies that align with your unique business requirements.
  • Insights Dashboard. Monitor your performance metrics and approval rates through visual reports to see exactly how fraud prevention impacts your growth.
  • Payment Optimization. Increase your authorization rates by providing banks with the data they need to trust and approve more of your transactions.

Pricing Comparison

I

Incode Pricing

S

Signifyd Pricing

Pros & Cons

M

Incode

Pros

  • Extremely fast verification speeds improve user conversion rates
  • Passive liveness detection creates a much smoother user experience
  • Highly accurate biometric matching reduces the need for manual reviews
  • Flexible SDKs make it easy to integrate into existing mobile apps

Cons

  • Custom pricing makes it difficult for small startups to budget
  • Initial configuration can be complex for highly specific workflows
  • Documentation can be technical for non-developer team members
A

Signifyd

Pros

  • Significantly reduces time spent on manual order reviews
  • Financial guarantee provides peace of mind against chargebacks
  • Seamless integration with Shopify and BigCommerce platforms
  • High accuracy in identifying legitimate international customers

Cons

  • Custom pricing can be high for low-margin businesses
  • Occasional delays in support response for complex cases
  • Dashboard interface has a slight learning curve
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