Fix Liveness, Secure Trust: Modern Identity for the Gig Economy

Stop Account Sharing, Deepfakes, and Underage Access—Without Slowing Real Workers

Incode brings AI-native, multi-layer liveness that verifies genuine couriers and drivers in seconds—boosting onboarding, blocking fraud, and ensuring fairness at scale.

The Problem: Legacy Liveness Is Failing—And Putting Your Platform at Risk

Traditional Fraud Prevention Is Failing Platforms

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Old-school checks like static selfies, one-time ID scans, and pose-based liveness are easily bypassed by deepfakes and bots. Meanwhile, real workers get flagged and quit. Manual reviews cost $600K/month, and gig platforms face rising fraud, lawsuits, and regulatory heat.

The Solution: Multi-Layer, AI-Native Liveness That Stops Fraud and Streamlines Onboarding

One Identity Platform. Zero Third-Party Limitations.

Incode is the only fully proprietary identity verification platform, meaning:

<0.1% fraud pass-through with passive face liveness + spoof detection

100% proprietary stack built for adaptability—no third-party delays

##### Continuous verification with 
micro-selfies during shifts

Bias-aware models trained across all skin tones and age groups for fair onboarding

Rapid Fraud Adaptation and Compliance Without Complexity

Stop Fraud in Days, Not Months

AI-generated profiles and scam rings evolve fast. Incode evolves faster. We retrain proprietary models in real time to detect and stop fraud before it damages user trust.

Stay Ahead of Global Biometric Regulations

The UK Online Safety Act, U.S. state laws, and international mandates demand stricter verification. Incode’s NIST-ranked age estimation, privacy-first biometric verification, and document-free IDV ensure Bumble stays compliant without hurting UX.

How Leading Platforms Stay Compliant, Secure, and Scalable with Incode

From user drop-off to verified fraud, scaling platforms are facing new challenges. Below are three critical areas where Incode drives measurable impact:

1. 90% Reduction in Manual Reviews
   AI-native identity slashes queue times and review costs from $600K to $90K/month.

2. −80% Fewer Wrongful Deactivations
   Balanced liveness models reduce false bans and prevent viral backlash.

3. <4s Onboarding with Zero Friction
   Real-time passive checks approve drivers without blinking or turning.

Results that matter

<0.1% on fraud pass-through drops
100% proprietary ML models adapt to new fraud in real time
11x faster onboarding and 30% higher completion rates
25% higher OCR accuracy vs.
open-source models

One Deepfake. One Lawsuit. One Headline Can Break Trust.

Incode’s AI-native identity protects your platform with real-time, bias-aware, multi-layer liveness—keeping real workers verified, and fraud locked out.

Secure Your Growth with Incode

The next generation of fraud is already here. Let Incode help you stop it before it stops your growth.

Why Incode?

Preserve Privacy with 100% Automation
Process Decisions with Lightning Speed
Guarantee Accuracy with continuously advancing AI/ML