Stop suspicious users in your e-commerce or fintech business.
About the solution

PRUNO is a fully automated system that detects fraudulent behaviour in real-time. It can help detect suspicious behaviours in your clients, thus preventing bad business reputation and loss of money.

PRUNO was developed in partnership and support from the Innovation Fund.


PRUNO is a system for fraud detection in e-commerce and fintech based on a combination of behavioral signals, device fingerprint techniques, and machine learning. This tool enables businesses around the world, but especially in emerging markets, to combat fraud, and it can be used on its own or with an existing set of tools.

With minimal tweaks, PRUNO can be used to combat fake comments on news portals, fake reviews, online gaming scams, bots, and similar abuse cases.


PRUNO can help protect against:

  • Abuse due to double and linked accounts
  • Reputational risk due to fraud
  • Misuse due to concealment of identity
  • Material damage


Due to their greater risk exposure, fintech and e-commerce are the primary industries that can benefit from PRUNO.

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Device fingerprinting

A layered and easy solution with a graphical representation of connected people gives instant insight into your users’ connections.

Easy implementation and integration

Send users to the PRUNO API, and everything else will be ready in a few steps.

Efficient fraud detection for all types of e-commerce businesses

PRUNO was originally intended to identify fraud in e-commerce and transactions. Its modular approach, however, makes it useful for detecting any kind of suspicious online behavior. If your product has registered customers, PRUNO can help you.

Expert support

Mainstream teams guarantee top performance, availability, and security of the solution in the cloud infrastructure.

Personalized cloud model

Depending on your needs, our experts will help you implement a solution in a public or private cloud and design the optimal environment for the functioning of PRUNO software within your company.

Scalable infrastructure

The Mainstream team will help you take advantage of the flexibility of cloud technologies and tailor infrastructure to your needs.

Use case

The companies that benefit the most from the solutions such as PRUNO include financial institutions, companies that have clients that are involved in monetary flows, the employment industry, fintech companies, marketplace B2C and especially C2C, e-commerce. The system is modular and can be easily adjusted to suit different businesses.

The integration of PRUNO into our system was efficient and without any problems. The PRUNO team answered our questions quickly, and the software and infrastructure themselves proved to be stable.

Ognjen Kurtić

Implementation steps

Step 1

Needs analysis and definition

Step 2

Studying API documentation and connection to your database through the API

Step 3

Creating a cloud environment for PRUNO

Step 4

Testing and granting access to the PRUNO tool

Step 5

Implementation and support

Technical characteristics and compatibility

PRUNO is an API-based solution that does not require any computer installs. You use its JSON API to connect to your system.

The technical platform is based on VMware, Hyper-V, Cisco ACI, Citrix Netscaler, NetApp, 3PAR systems. All Mainstream data centers are Tier3 certified, and our SLA guarantees availability and performance at the service and application levels. The availability guarantee is 99.99%, and resources can be increased as needed within 24 hours.

About the company

LimundoGrad is a company that has developed a marketplace for C2C and B2C transactions and We connect buyers and sellers. Over time, we have noticed the need for greater protection of the parties involved, both from the technical and business point of view, as well as the prevention of fraudulent behavior.

Through a long-term partnership, LimundoGrad and Mainstream have been helping companies in Serbia take advantage of innovative solutions and cloud technologies and improve their business operations.

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