CreditNirvana
ML Platform Driven Digital First Debt Management.
| Date | Investors | Amount | Round |
|---|---|---|---|
| N/A | €0.0 | round | |
| N/A | €0.0 | round | |
* | N/A | Acquisition | |
| Total Funding | 000k | ||
| USD | 2019 | 2020 | 2021 | 2023 |
|---|---|---|---|---|
| Revenues | 0000 | 0000 | 0000 | 0000 |
| % growth | - | 3 % | 10 % | - |
| EBITDA | 0000 | 0000 | 0000 | 0000 |
| Profit | 0000 | 0000 | 0000 | 0000 |
| EV | 0000 | 0000 | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 | 0000 | 0000 |
Source: Dealroom estimates
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CreditNirvana operates as a digital-first debt collection company, offering a comprehensive, end-to-end platform to manage the entire debt collection lifecycle. The company utilizes a Software-as-a-Service (SaaS) business model, providing its clients with a machine learning-driven solution.
The platform leverages artificial intelligence and natural language processing (NLP) to optimize the collection process. This technology enables an efficient and cost-effective operation for its clients by making the process data-driven. Key features include an omnichannel and multilingual digital interface, allowing for broad and effective communication with debtors.
By integrating these technologies, the company aims to redefine the debt management landscape, moving away from traditional methods towards a more automated and analytical approach. The primary clients are businesses and financial institutions that require a modernized system for debt recovery.
Keywords: Debt Collection, SaaS, Machine Learning, FinTech, NLP, Digital-First, Omnichannel, Multilingual, AI, Data-Driven