Pair Finance
Using big data and machine learning to build an automated and data-based solution for claims management.
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor investor investor investor investor | €0.0 | round |
| N/A | €0.0 | round | |
| investor investor investor investor investor | €0.0 | round | |
| investor investor investor | €0.0 Valuation: €0.0 | round | |
* | €60.0m Valuation: €100m | Buyout | |
| Total Funding | 000k | ||
| EUR | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 |
|---|---|---|---|---|---|---|---|
| Revenues | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| % growth | - | - | - | 123 % | 62 % | 60 % | 11 % |
| EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| % EBITDA margin | - | - | - | 15 % | 20 % | - | - |
| Profit | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| % profit margin | - | - | (15 %) | 14 % | 20 % | 10 % | 11 % |
| EV | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
Source: Company filings or news article
Related Content
Pair Finance operates in the financial technology sector, specializing in debt collection services. The company leverages artificial intelligence and machine learning to optimize debt recovery processes, making them more efficient and customer-friendly. Pair Finance primarily serves businesses across various industries that need to manage outstanding receivables. The company operates in the European market, with a focus on Germany. Its business model is based on a success fee, meaning it earns revenue when debts are successfully collected. This aligns the company's interests with those of its clients, ensuring a focus on effective and ethical debt recovery. Pair Finance's technology-driven approach allows for personalized communication strategies, which improve the likelihood of successful debt recovery while maintaining positive customer relationships. The company also provides detailed analytics and reporting to its clients, offering insights into the debt collection process and performance metrics.
Keywords: AI-driven, debt collection, fintech, machine learning, receivables management, customer experience, success fee, analytics, personalized communication, European market.