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Incode Features

What are the features of Incode?

Functionalities

  • Authentication Methods
  • Online Age Verification
  • Age Estimation
  • Integrations and SDKs
  • In-person Age Verification
  • Liveness Check

Fraud Detection

  • Name Matching
  • Watch List
  • Scoring

Generative AI

  • AI Image-to-Text

Top Rated Incode Alternatives

Filter for Features

Functionalities

Authentication Methods

Offers age authentication via methods such as document or identification card verification, telephone number checks, matching against consumer records or other similar methods. 15 reviewers of Incode have provided feedback on this feature.
100%
(Based on 15 reviews)

Online Age Verification

As reported in 14 Incode reviews. Is primarily used to verify a person's identity online for e-commerce purposes.
100%
(Based on 14 reviews)

Age Estimation

Offers age estimation functionality. This feature was mentioned in 13 Incode reviews.
100%
(Based on 13 reviews)

Integrations and SDKs

Offers integrations or software development kits (SDKs) for websites, applications, mobile apps, point-of-sale (POS) solutions, and kiosks This feature was mentioned in 14 Incode reviews.
99%
(Based on 14 reviews)

In-person Age Verification

Is primarily used to verify a person's identity in-person, such as at a bar, restaurant, event venue, or other similar places. This feature was mentioned in 12 Incode reviews.
100%
(Based on 12 reviews)

Liveness Check

Has a liveness check using selfies or other photograph technology to ensure the person being verified is real. This feature was mentioned in 14 Incode reviews.
100%
(Based on 14 reviews)

Fraud Detection

Name Matching

Based on 11 Incode reviews. The solution uses intelligent algorithms like fuzzy matching to identify potential risks.
100%
(Based on 11 reviews)

Watch List

Create watchlists that can include sanctions lists (e.g., Dow Jones, WorldCheck, WorldCompliance, and Accuity). 10 reviewers of Incode have provided feedback on this feature.
98%
(Based on 10 reviews)

Scoring

Score persons and organizations based on their history and risk potential. This feature was mentioned in 10 Incode reviews.
98%
(Based on 10 reviews)

E-filing

Pool data from various sources to auto-populate e-filing of Suspicious Activity Report (SAR) or Currency Transaction Reports (CTR) forms.

Not enough data

Workflows and Alerts

Standard workflows to assign workload and to alert users based on predefined triggers.

Not enough data

Compliance

Due Dilligence

Manage due dilligence processes such as Customer Due Diligence and Know Your Customer.

Not enough data

Regulations and Jurisdictions

Comply with regulations from multiple jurisdictions such as OFAC, UN, EU, OSFI, UK and AUSTRAC or FATCA.

Not enough data

Internal Policies

Compliance with fraud and risk management policies created by the company using the solution.

Not enough data

Monitoring

Models

Create behavior models that can be used to detect suspicious behavior.

Not enough data

Simuation

Simulate and validate scenarios to address multiple types of risks.

Not enough data

Transaction Monitoring

Real-time transaction screening to immediately identify potential risks.

Not enough data

Segmentation

Allows users to segment and manage lists of suspicious persons and organizations.

Not enough data

QA

Evaluate the quality and performance of the anti-money laundering activities.

Not enough data

Reporting

Compliance Reports

Ability to generate standard reports for compliance purposes such as FATCA/CRS, SARS/STR and SWIFT.

Not enough data

Suspicious Activity

Display suspicious activity by period, risk type, person or organization.

Not enough data

Real-Time Dashboards

Dashboards to provide real-time data on suspicious transactions, persons, or organizations.

Not enough data

Generative AI

AI Image-to-Text

Based on 12 Incode reviews. Converts images into a textual description, identifying key elements.
97%
(Based on 12 reviews)

Generative AI - Anti Money Laundering

Risk Scoring

Has integreated AI features to assess and assign risk scores to transactions and customer profiles, enabling prioritized investigations based on potential threat levels.

Not enough data

Pattern Recognition

Uses AI algorithms to identify complex patterns and anomalies in transaction data that may indicate money laundering.

Not enough data

Agentic AI - Anti Money Laundering

Adaptive Learning

Improves performance based on feedback and experience

Not enough data

Decision Making

Makes informed choices based on available data and objectives

Not enough data