Bayonet company logo
We help companies do business with peace of mind through a fraud-prevention software11-50 Employees
  • Early Stage
    Startup in initial stages
Website
Location
Company size
11-50 people
Total raised
$1.7M
Company type
Startup
Markets
SaaSMachine LearningFraud Detection
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Bayonet careers

We help companies do business with peace of mind through a fraud-prevention software
**Online fraud prevention for tough markets**
Bayonet is a SaaS that detects fraudulent payments for digital companies. We let companies do business with peace of mind through a fraud-prevention software that outpaces Latin America's tricky fraud patterns.

The online economy in LatAm is worth more than $100B in annual sales and growing. So far, more than $500M USD worth of successful payments have gone through Bayonet's software. We've analyzed millions of transactions and prevented millions worth of USD in fraud every year. Latin America is one of the toughest regions in terms of fraud, due to high impunity, challenging economic and social conditions, and inefficient law enforcement. That's why the number of transactions and successful payments sent to Bayonet for review has grown by triple digits for the last 2.5 years. Although we're still a compact team, we're a bunch of ninjas that like what we do, and how it contributes to helping others grow.

Tech-wise, for the back end we work with Machine Learning models, Graph Databases, and write primarily in Go; on the front end we mostly use React.



Bayonet is a Software as a Service that detects fraudulent payments in milliseconds, for companies doing business in tough markets such as Latin America.

The online economy in LatAm is worth $80B in annual sales, and it's only growing. Close to $70M USD worth of sales went through Bayonet's filters in 2020, 3.6 times more than in 2019.

We allow companies selling goods and services in Latin America to focus on their priorities by handling their fraud prevention tasks.

Their Machine Learning is flexible to capture Latin America's tricky fraud patterns, and shows results 10x faster than traditional solutions. Their differentiator relies on build Machine Learning models out of a short questionnaire filled by the customer, instead of large and clean data sets, like traditional solutions do. This is especially relevant in LatAm where data is scarce and dirty.
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Imran Arshad
Avatar for Imran Arshad
Co-founder @Bayonet , Worked at @Linio , Studied @Delhi College of Engineering
José Chávez
Avatar for José Chávez
Helping the digital economy grow every day with @Bayonet. Studied engineering, although most useful stuff I've learned on the internet.
Total raised

$1.7M

Funded over

1 round

Latest round

Seed (Oct 2022)

Insurance

For key roles

Work from wherever you want

Unlimited vacations

You'll have acces to a therapist :)

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