AREA42 / Terms.Tech
Innovation vehicle focused on B2B trade & financing
Part of one of the largest credit insurance groups in Europe
Website: https://www.area42.tech/
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“In our pursuit of dismantling impediments in B2B trade, we are diligently crafting an extensive array of financial products necessitating diverse strategies. Together with our expansive geographical reach, there is a substantial demand for adaptability in our decision-making processes and the tools we employ to ensure scalability and facilitate the burgeoning growth of our enterprise. Through our collaboration with Taran, we have acquired a cutting-edge decision engine. This advanced technology positions us at the forefront of our industry. It empowers us to exercise precise control over automated underwriting strategies, facilitates swift and uncomplicated model deployments, seamless integration of data sources, and furnishes our clientele with real-time decisions within milliseconds.”
Matej Urban, Head of Risk & Data
AREA42’s objectives
- Overarching goal: improve international trade by creating new and innovative technological solutions and a fluid, risk-savvy B2B trade ecosystem
- To achieve that, AREA42 has been looking for a decision engine with the following features:
- Ability to make quick, completely automated decisions
- Well-designed GUI for business users
- Modern technology stack and features such as easy data integrations, model deployment, out-of-the-box simulation layer, etc.
Why has AREA42 chosen TaranDM?
- Simple and flexible deployment of scoring models, including the support of multiple analytical environments for the model development
- Both real-time and batch decisioning-making and processing capabilities
- Easy maintenance of the decision engine
- Modern technology stack & “Python-native” nature of TaranDM
- Taran team’s credit risk and data science domain expertise which has ensured smooth & well-executed TaranDM implementation
Implementation highlights
- Development of a credit bureau adapter
- Deployment of the TaranDM Antifraud module:
- In-built data source which stores & automatically calculates concentration checks, cross checks and other aggregations which are crucial for fraud prevention
- Examples: number of loan applications from the same IP address over past 1h/24h/7d/30d; number of loan applications from the same device over past 1h/24h/7d/30d; etc.
