Incode
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.
Sift
Sift is an AI-powered fraud prevention platform that helps you protect your business from payment fraud, account takeover, and content abuse while ensuring a frictionless experience for your customers.
Quick Comparison
| Feature | Incode | Sift |
|---|---|---|
| Website | incode.com | sift.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 | ||
| Integrations | ||
| Target Users | ||
| Target Industries | ||
| Customer Count | 0 | 0 |
| Founded Year | 2015 | 2011 |
| Headquarters | San Francisco, USA | San Francisco, USA |
Overview
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.
Sift
Sift helps you stop fraud before it happens by using a massive global data network and machine learning. Instead of relying on static rules that hackers can easily bypass, you can leverage real-time insights from over a trillion events per year to identify suspicious behavior instantly. You can protect every stage of the customer journey, from account creation and login to the final checkout process.
The platform allows you to automate your security decisions so your team can focus on growth rather than manual reviews. You can reduce false positives, meaning your legitimate customers enjoy a smooth experience without unnecessary hurdles. Whether you are managing a rapidly growing startup or a global enterprise, Sift provides the tools to scale your security operations and safeguard your revenue from evolving digital threats.
Overview
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.
Sift Features
- Payment Protection. Block fraudulent transactions in real-time and reduce chargebacks while letting legitimate orders through without delay.
- Account Defense. Prevent account takeover attacks by detecting suspicious logins and protecting your users' sensitive personal information.
- Content Integrity. Keep your platform clean by automatically filtering out spam, scams, and malicious content posted by bad actors.
- Dynamic Friction. Apply security hurdles like MFA only when a risk is detected so your trusted users enjoy a seamless journey.
- Sift Score. Get an instant risk assessment for every user interaction based on machine learning models trained on global data.
- Console Case Management. Streamline your manual review process with an intuitive interface that shows you exactly why a user was flagged.
Pricing Comparison
Incode Pricing
Sift Pricing
Pros & Cons
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
Sift
Pros
- Highly accurate machine learning models reduce manual reviews
- Real-time data processing stops fraud before transactions complete
- Easy to integrate with existing tech stacks via API
- Detailed insights explain the reasoning behind risk scores
Cons
- Pricing can be high for very small businesses
- Initial model training requires significant data volume
- Interface can feel complex for non-technical users