How Quantifind is Revolutionizing the Fight Against Evolving Financial Crime Challenges
Quantifind, a frontrunner in AI-driven risk intelligence, is revolutionizing the field of financial crime compliance. Recently, FinTech Global spoke with Annalisa Camarillo, the Executive Vice President of Marketing at Quantifind, to discuss the company’s significant achievements in 2024, its ambitious plans for 2025, and its strategies to tackle the evolving challenges in financial crime prevention.
Remarkable Growth in 2024
2024 was a landmark year for Quantifind, with the company reporting a staggering 200% revenue increase and securing $22 million in funding to enhance its compliance solutions. Camarillo stated, “2024 marked a phase of substantial growth and innovation for Quantifind. We expanded our AI-driven risk intelligence solutions, fortified partnerships with financial institutions and government agencies, and enhanced our reputation for delivering accuracy, speed, and scalability in financial crime compliance.”
Advancements in Risk Intelligence
Quantifind’s innovations in entity resolution, risk typology detection, and network analysis have empowered clients to streamline investigations and achieve superior compliance outcomes. These advancements have firmly established Quantifind as a trusted ally for organizations tackling the complexities of financial crime prevention.
Looking Ahead: The 2025 Roadmap
As the company sets its sights on 2025, the focus is on delivering “superior, automated risk intelligence for every customer, at every touchpoint, with all the data, anytime,” according to Camarillo. This vision is supported by a comprehensive roadmap that prioritizes innovation and scalability.
Key Priorities for 2025
- Enhancing explainable AI for improved transparency
- Scaling automation to minimize manual workloads
- Expanding data coverage to provide a wider scope of intelligence
“We’re implementing an innovative roadmap that ensures risk intelligence is integrated at every stage of the compliance workflow, from onboarding to continuous monitoring,” Camarillo explained. The aim is to enable real-time risk detection, allowing organizations to respond proactively to threats with ongoing intelligence.
Standing Out in the Competitive RegTech Landscape
Camarillo highlighted that Quantifind sets itself apart in the crowded RegTech market through its focus on accuracy, speed, integration, explainability, and scalability. Unlike conventional compliance platforms, Quantifind’s cloud-native AI architecture adeptly manages extensive data loads and adapts to real-time risks.
“Our AI Risk Intelligence Platform significantly reduces false positives while identifying high-risk entities that may be overlooked by others, thereby alleviating the investigative burden on compliance teams,” stated Camarillo. This approach supports organizations in efficiently navigating regulatory challenges without adding operational strain.
Tackling Industry Challenges
The rapidly evolving financial crime landscape presents several challenges. Quantifind is addressing these by:
- Creating a unified 360-degree risk intelligence view
- Providing proactive transaction risk intelligence
- Ensuring trusted, explainable AI
According to Camarillo, “Financial institutions face difficulties due to disconnected risk functions, resulting in intelligence gaps and inefficiencies.” Quantifind’s platform integrates internal and external data to present a dynamic, real-time risk overview, breaking down silos and enhancing operational efficiency.
Commitment to Social Impact
Quantifind’s mission goes beyond business success; it aims to make a positive difference in society. The company collaborates with organizations such as Polaris, which combats human trafficking, and United for Wildlife, which addresses illegal wildlife trafficking. These partnerships enhance Quantifind’s risk intelligence models by incorporating real-world typologies and red flags, further improving its detection capabilities.
Future Industry Trends
As Quantifind looks to the future, it is closely monitoring several trends, including:
- The rise of AI governance
- Expansion of payment transparency regulations
- A shift towards real-time risk monitoring
With its expertise in explainable AI, Quantifind is well-positioned to meet the increasing regulatory demands for transparency in AI-driven decision-making. “Our commitment to responsible, explainable AI in compliance ensures that financial institutions can confidently adopt AI-powered solutions,” Camarillo remarked.
In conclusion, Quantifind aims to be the gold standard in AI-driven risk intelligence, continuously evolving its capabilities and extending its global reach to support organizations in the fight against financial crime.
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