Company: CSLMF
Filing Date: 2025-07-03
Form Type: DEFM14A
Source: 0001193125-25-155514
Chunk: 386

Company: CSLM ACQUISITION CORP.
Filing Date: 2025-07-03
Form: DEFM14A
Chunk 386
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 and efficient sharing of data across previously siloed functional areas. We see significant opportunities to build on the work we’ve done with our existing customers. As operational needs evolve, we continue to identify new ways our technology can address these challenges, further strengthening our partnerships and expanding our impact. Customer Success and Use Cases Customer success is at the heart of everything we do at Fusemachines. We are committed to delivering AI solutions that drive tangible business outcomes for our clients. Our approach to customer success includes regular executive check-ins,system updates, ongoing support, and a commitment to continuous improvement. We maintain a robust customer satisfaction program that includes bi-weeklyperformance checks between our management and delivery teams, as well as quarterly executive-level reviews. We also conduct customer satisfaction surveys every quarter. If a client’s satisfaction score falls below 8 out of 10, it is flagged in our 244

internal monitoring system and escalated for immediate resolution. Our success is best demonstrated through the results we have achieved for our clients across various industries. We list a few success stories and use cases below: A Few Use Cases:

| • |     | Financial Institution: We partnered with a financial institution to transform their commercial loan                                                                                                                                                       
 approval process using our Xtract AI Engine. Our solution achieved 99%+ accuracy in extracting and standardizing financial data, accelerating loan approvals significantly while reducing manual effort and errors. Advanced models for image correction, 
 layout understanding, OCR, and table recognition further enhanced data extraction efficiency.                                                                                                                                                             |

| • |     | Fashion Holding Company: A multinational luxury fashion holding company engaged us to develop a model                                                                                                                                                  
 for forecasting future sales and minimizing stockout risks. We built bespoke AI solutions using advanced Deep Neural Network systems, which significantly improved precision in sales forecasting and stockout prediction, helping the client maintain 
 optimal inventory levels.                                                                                                                                                                                                                              |

| • |     | Global Media Enterprise: A global media enterprise with millions of audience members engaged us to                                                                                                                                                   
 leverage AI for delivering personalized content. We developed a combined content-based and user- based recommendation algorithm, leading to a substantial increase in click rates and winning the 2023 International News Media Global Media Awards. |

| • |     | Retail Operator: An award-winning US retail operator sought to enhance fraud detection due to                                                                                                                                                             
 inefficient human methods and a slow manual review process causing delays in refunds. We implemented our Fraud Detection Engine, capable of processing millions of data points to identify fraudulent transactions in real time. The system adapts to new 
 patterns, significantly improving fraud detection accuracy.