Your gateway to smarter SME lending
At Wiserfunding, we understand that the world of SME lending is both complex and rewarding. That's why we've meticulously crafted a suite of solutions for banks seeking to supercharge their SME lending strategies.
Expertise in SME risk
Our journey began with the vision of Professor Ed Altman, an icon in credit risk analytics. Over two decades, we've fine-tuned our models, and these aren't your run-of-the-mill models. They've been through rigorous audits and have powered renowned banks like SBI and ABSA. We've mastered the art of SME lending risk assessment.
In today's data-rich world, raw data alone won't cut it. Our secret weapon? Advanced AI and machine learning algorithms that transform data into actionable, predictive insights. Say goodbye to sifting through endless spreadsheets – our models make your risk management team's job more effective and efficient.
We're not just a tech provider; we're your partner in success. Our dedicated account and customer success managers are there for you every step of the way. Need to chat with our product or development teams? You've got direct access for tailored support.
Innovation is our middle name. We've evolved with the industry, launching game-changers like our portfolio management product. Backed by reputable investors like BGF and trusted by high-profile clients like LHV, we're in it for the long haul as your trusted partner.
We understand the importance of cost-effectiveness. While we might be a touch pricier for UK reports, our analytics' depth and actionable quality make it a justified investment. We're all about scaling with your business.
Our full API documentation ensures a smooth transition. Some banks have completed integration in less than three hours, and training? That can be wrapped up in under an hour. It's that easy.
Compliance and security
Your data's security is non-negotiable, and we get that. We proudly hold ISO27001 and SOC2 certifications, providing the highest levels of data protection and regulatory compliance. Rest easy knowing your data is in safe hands.
We value seamless connectivity and strategic alliances. Our native integrations with industry leaders like nCino, Codat, and Validis ensure you have the most comprehensive suite of tools at your disposal.
Insightful perspective, leading technology
Expertise driven analytics
Traditional credit referencing agencies often rely on simple credit scores and historical financial data. In contrast, Wiserfunding has worked in collaboration with Professor Ed Altman, a global leader in credit risk analytics.
We've used this expertise to refine our algorithms over two decades of SME data, giving us a unique edge in predictive risk analysis. Our models aren't just looking at the past; they're designed to anticipate future risks, making them far more actionable.
Depth and breadth of data
The quality of predictive insight
Audited and trusted
Unlike many traditional solutions, our models have undergone rigorous auditing and have been used to create bespoke solutions for respected banks like SBI and ABSA. This is not a 'one-size-fits-all' model but a tailored analytical tool, fine-tuned to meet the demands of modern SME lending.
Traditional credit agencies tend to offer more generalised solutions, which may not delve into the specifics of the SME sector. Wiserfunding is geared precisely for this, allowing for nuanced decisions that can be critical in SME lending.
By embracing Wiserfunding, you're not just replacing one credit agency for another; you're upgrading your entire approach to credit risk analysis. Our method moves beyond traditional data evaluation, offering predictive, nuanced, and actionable insights tailor-made for the complexities of SME lending.
When integrated, the result is a credit risk management system that is not only more insightful and predictive but also considerably more time-efficient.
From instant access and familiarisation to seamless workflow integration, the gains in time efficiency can be redirected towards more strategic initiatives, giving your bank a competitive edge.
Why it matters: This immediate access allows your risk management team to hit the ground running. They can start familiarising themselves with the features, and capabilities without lag time.
The edge: The platform has been designed with usability in mind, ensuring that even those who aren't tech-savvy can navigate and utilize the system efficiently. The time from decision to deployment is minimised.
Why it matters: If your bank is already using these platforms or considering doing so, this integration makes the transition even more seamless. It allows for even broader capabilities, from loan origination to financial data aggregation.
How we have helped other banks:
Case Study: A Regional Bank Enhances Screening and Origination with Wiserfunding
A regional bank serving the SME sector wanted to speed up their loan origination process while reducing the risk of bad debts. The bank was using a traditional credit scoring model that failed to capture the complex landscape of SME risk.
The bank implemented Wiserfunding for its advanced predictive analytics and immediate access to an intuitive platform. Within just one hour, the team was trained and started screening potential loan applicants using Wiserfunding's sophisticated AI-driven algorithms.
- Time-to-decision was cut down by 40%.
- Accuracy in identifying high-risk applicants improved by 25%.
- Loan origination costs reduced by 15% due to the efficiency of the system.
Case Study: A national bank revolutionises underwriting with Wiserfunding
A national bank was seeking to improve its underwriting process for SME loans. Their existing systems were causing delays and lacked predictive capabilities.
The bank used Wiserfunding's API to integrate its advanced analytics into their existing underwriting workflow. Integration was completed within three hours, and the underwriting team started using the platform immediately.
- Non-performing loans saw a reduction of 20% in the first quarter.
- Time spent on underwriting tasks reduced by 30% due to predictive analytics and insights.
- Loan profitability improved as better risk assessment led to more accurate pricing.
Case Study: A UK bank optimises portfolio management with Wiserfunding
A multinational bank was struggling with portfolio management for its SME loans. They faced challenges in identifying emerging risks and taking timely action.
The bank incorporated Wiserfunding's portfolio management solution, leveraging its native integrations with other banking platforms they were already using. A dedicated customer success manager from Wiserfunding ensured smooth implementation.
- Early warning indicators helped proactively manage risks, reducing potential losses by 10% in the first six months.
- Time spent on portfolio analysis was cut in half, allowing for more strategic activities.
- Compliance and reporting became more straightforward due to the advanced analytics, reducing manual work and chances of error.
Case Study: An SME Bank Achieves Unprecedented Operational Efficiency with Wiserfunding
A community-focused bank was grappling with operational bottlenecks in its credit risk management workflow. The bank was heavily reliant on manual processes to collect and analyse credit data, leading to high staff workload and prolonged decision times.
Recognising the need for efficiency, the bank chose Wiserfunding for its cutting-edge technology and ability to integrate seamlessly into their existing systems. With the API integrated in just three hours and staff trained within one hour, the platform was ready for action.
Instant Data Collection and Analysis: As soon as Wiserfunding was implemented, data collection and analysis that previously took hours, if not days, was executed in a matter of seconds. This was made possible by Wiserfunding's state-of-the-art analytics and AI capabilities.
Staff Reallocated to Value-Added Tasks: Freed from the tedium of manual data collection and basic analysis, staff members were reallocated to more value-added tasks such as customer engagement, strategic planning, and complex risk assessment.
Higher Job Satisfaction: As the staff shifted to more meaningful work, the bank experienced a rise in employee satisfaction scores, resulting in lower turnover and higher productivity.
Boost in Overall Efficiency: By automating the routine but essential process of data collection and preliminary analysis, the bank achieved an overall operational efficiency gain of 35%, a figure that surpassed their initial goals for the project.