Fraud Detection That Adapts & Scales

Transform your fraud prevention with Simility’s versatile platform, combining the best of human analysis and machine learning.

Reduce Fraud and Abuse. Foster Trust and Safety.

FEATURED CUSTOMERS

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PRODUCT

Stop the fraudulent behavior at its root – the fraudster's device. Device Recon assesses the fraud risk of a device based on its behavior and characteristics, even when fraudsters go to great lengths to hide them.
Augmented Analytics combines the power of human analysis and machine learning to uncover the fraudulent behavior hidden within your structured and unstructured data.
Data is only useful if it is presented in a clear and actionable manner to decision-makers. Workbench empowers analysts to encode their intuition, visualize patterns and make decisions on entire networks in one click.

FEATURES AND BENEFITS

Get Started in Hours

Installation is easy. Just paste a line of JavaScript, upload a CSV file, integrate using our RESTful APIs or deploy our mobile SDKs. Join other customers currently entrusting Simility to analyze millions of transactions per day. You’ll be able to easily source, transform and consume any kind of data, such as emails, images, comments, and transactions. Simility comes out of the box with predefined models ready to combat the most common types of fraud.

Analyze Fraudulent User Behavior

Start with one of our existing models, add your existing fraud heuristics, tap into Simility’s domain expertise and you’ll soon be finding fraud and abuse that used to slip through. In no time, your analysts will create their own detection mechanisms and test their insights and hypotheses on the fly.

Analyze Fraudulant User Behavior

Start with one of Simility’s models, add your existing fraud heuristics, tap into Simility’s domain expertise and you’ll soon be finding fraud and abuse that used to slip through. In no time, your analysts will create their own detection mechanisms and test their own insights and hypotheses on the fly.

Custom Built Machine Learning

Fraudsters adapt. Now, so can your fraud detection. Every decision, rule and signal you create will be fed back into Simility’s models. With every intuition added, your fraud prevention continuously adapts and evolves, refining and improving the detection of anomalous patterns.

Automate Your Analyst Workflow

Don’t waste your analysts’ time on menial tasks. Give them the ability to customize the workbench, automate workflows, and build rules and signals, so they can focus on complex investigation. Use data visualizations to effectively map entities and relationships without writing a line of code. Test and modify new models to meet the demands of your customers, ecosystem and business.

Automate Your Analyst Workflow

Don’t waste your resources on menial tasks. With your analysts automating and optimizing their own workflows they can concentrate on real investigation. Writing your own signals and rules puts you in the driver’s seat. Test and modify risk thresholds and fraud scores to meet the demands of your customers, ecosystem and business.

CASE STUDIES

Simility can detect completely unique types of fraud that have never been stopped before. There’s no limit to what we can do for your company.

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MARKETPLACE FRAUD

Peer-to-peer marketplace connects a supplier with a customer, allowing people to rent out a spare bedroom or raise money for a food donation crowdfunding campaign. Fraudsters copy successful legitimate suppliers’ accounts in order to dupe customers into paying them for a non-existent service or funnel money to themselves from stolen credit cards.
READ MORE

DELIVERY FRAUD

India has leap-frogged certain technologies, fully embracing e-commerce but continuing to pay with cash upon delivery instead of credit cards. This allowed brick-and-mortar stores to defraud e-commerce sites by ordering large volumes of inventory on fake accounts, paying for a small amount of units they had pre-sold to their customers upon delivery, then returning the vast majority of remaining inventory without paying at the e-commerce sites’ expense. These sites were powerless to stop this elaborate fraud scheme until Simility stepped in.
READ MORE

MESSAGE SPAMMING

Many businesses allow users to message each other, either in private direct messages or public comments. Fraudsters use this communication pathway to send spammy messages that can include advertisements, links to competitors, vulgar language, or amorous advances.
READ MORE

CASE STUDIES

Simility can detect completely unique types of fraud that have never been stopped before. There’s no limit what we can do for your company.

Preload images so that there is no lag when user hovers the slider arrow

MARKETPLACE FRAUD

Peer-to-peer marketplaces connect a supplier with a customer, allowing people to rent out a spare bedroom or raise money for a food donation crowdfunding campaign. Fraudsters copy successful legitimate suppliers’ accounts in order to dupe customers into paying them for a non-existent service or funnel money to themselves from stolen credit cards. READ MORE

DELIVERY FRAUD

Consumers in India have leap-frogged certain technologies, fully embracing e-commerce but continuing to pay with cash upon delivery instead of credit cards. This allowed brick-and-mortar stores to defraud e-commerce sites by ordering large volumes of inventory on fake accounts, paying for a small amount of units they had pre-sold to their customers upon delivery, then returning the vast majority of remaining inventory without paying at the e-commerce sites’ expense. These sites were powerless to stop this elaborate fraud scheme until Simility stepped in. READ MORE

MESSAGE SPAMMING

Many businesses allow users to message each other, either in private direct messages or public comments. Fraudsters use this communication pathway to send spammy messages that can include advertisements, links to competitors, vulgar language, or amorous advances. READ MORE

INVESTORS