Quantifind, a leader in AI-driven risk intelligence, is making significant strides in transforming financial crime compliance. FinTech Global recently sat down with Annalisa Camarillo, EVP Marketing at Quantifind, to hear about the firm’s 2024, its ambitious plans for 2025, and how it’s addressing the evolving challenges in the financial crime landscape.
2024 was a pivotal year for Quantifind. The company saw its revenue soar by 200% and secured $22M in funding to fuel further development of its compliance solutions. “2024 was one of significant growth and innovation for Quantifind,” Camarillo said. “We expanded our AI-driven risk intelligence solutions, deepened our partnerships across financial institutions and government agencies, and strengthened our reputation for delivering accuracy, speed, and scalability in financial crime compliance.”
The company’s advancements in entity resolution, risk typology detection, and network analysis have enabled its customers to streamline investigations and achieve better compliance outcomes. These achievements have helped to position Quantifind as a trusted partner for organizations navigating the complex world of financial crime prevention.
The 2025 roadmap
Looking ahead, Quantifind is focused on delivering what Camarillo describes as “superior, automated risk intelligence for every customer, at every touchpoint, with all the data, anytime.”
This vision is underpinned by a robust roadmap that emphasizes innovation and scalability. Key priorities for 2025 include advancing explainable AI to enhance transparency, scaling automation to reduce manual workloads, and expanding data coverage to provide comprehensive intelligence.
“We’re backing this up with an innovative roadmap that focuses on seamless touchpoints, ensuring that risk intelligence is embedded at every stage of the compliance workflow, from onboarding to ongoing monitoring,” Camarillo explained. Additionally, Quantifind aims to enable real-time risk detection, allowing organizations to proactively respond to threats with continuous, always-on intelligence.
The company is also focused on making its AI models even more transparent, so compliance professionals can trust and act on risk insights with confidence. Furthermore, scaling automation will be key watchwords for Quantifind – as the firm looks to reduce manual workloads by delivering intelligent automation that identifies and priorities risk with accuracy. The firm is also looking to integrate broader datasets to ensure customers have the most comprehensive intelligence available.
Standing out in a competitive landscape
According to Camarillo, Quantifind differentiates itself in a crowded RegTech market through its focus on accuracy, speed, and, integration, explainability and scalability.
Unlike traditional compliance platforms, Quantifind’s cloud-native AI architecture effortlessly handles massive data loads and adapts to real-time risks.
“Our AI Risk Intelligence Platform ensures fewer false positives while detecting high-risk entities that others miss, reducing the investigative burden for compliance teams,” Camarillo noted.
Unlike black-box solutions, Quantifind’s AI provides clear, defensible insights, helping compliance teams to trust and act on risk assessments with confidence, claims Camarillo. In addition, Quantifind’s cloud-native AI architecture scales effortlessly across global institutions, adapting to both high-volume, real-time risks.
“Unlike traditional, resource-heavy compliance platforms, our solution handles massive data loads, ingests multiple risk sources in real-time, and supports expanding regulatory requirements — without adding operational strain,” said Camarillo.
Quantifind additionally works with organisations’ existing tech stacks, making adoption frictionless and scalable, unlike legacy systems that require costly, disruptive overhauls.
The company’s commitment to explainable AI sets it apart from competitors with opaque, black-box solutions. By providing clear, defensible insights, Quantifind enables compliance professionals to trust and act on risk assessments confidently.
Tackling industry challenges
The financial crime landscape is evolving rapidly, and Quantifind is addressing three critical challenges: the lack of a unified 360-degree risk intelligence view, the need for proactive transaction risk intelligence, and the demand for trusted, explainable AI.
Camarillo said, “Financial institutions struggle with disconnected risk functions, where KYC, sanctions compliance, transaction monitoring, and investigations operate in silos. This results in gaps in intelligence, duplicate efforts, and an inability to see the full risk picture across counterparties, transactions, and behaviors.”
Quantifind’s platform unifies risk intelligence by connecting internal data with external signals, such as adverse media and sanctions, to provide a dynamic, real-time view of risk. This approach breaks down silos and reduces inefficiencies caused by fragmented tools. The firm also leverages AI-driven automation to surface precise, risk-ranked insights, helping teams move beyond inefficient manual processes and fragmented tools.
In transaction risk , Quantifind shifts the focus to proactive intelligence by assessing the risk of transaction participants, not just transaction patterns.
“The challenge in securing transactions lies in the scale and speed of digital payments, which have outpaced traditional fraud and AML controls. With payment volumes exceeding 1 trillion in 2023 and growing 15% annually, outdated monitoring systems are failing. They were built for a slower, simpler landscape—and financial criminals know it,” stressed Camarillo.
The company stops the risk at onboarding, instead of waiting for transaction alerts to flag suspicious activity. It also uses AI to uncover hidden networks of financial crime, sanction risks and behavioural anomalies rather than relying on static identify verification.
Camarillo explained that Quantifind also cuts through false positives to help compliance teams focus on high-risk entities and transactions, instead of being overwhelmed by thousands of alerts.
“As payments accelerate and criminal enterprise strategies evolve, financial institutions need a more intelligent, adaptive approach to risk detection.” Camarillo said. “Quantifind helps FIs get ahead of risk, ensuring payments remain frictionless yet secure.”
On the trust front, Quantifind’s explainable AI delivers auditable, regulatory-ready insights, addressing the industry’s need for transparency in AI-driven decision-making. By educating regulators and risk teams, the company is paving the way for broader AI adoption in financial crime compliance.
“A major industry challenge is the lack of explainable AI in financial crime detection. Regulators and risk professionals need to understand AI decision-making—not just trust a black-box model,” said Camarillo.
Doing well by doing good
Quantifind’s mission extends beyond business success to making a meaningful impact. The company partners with organizations like Polaris, which fights human trafficking, and United for Wildlife, which combats illegal wildlife trafficking. These collaborations refine Quantifind’s risk intelligence models by incorporating real-world typologies and red flags, enhancing its ability to detect criminal networks.
“By aligning ourselves with organizations that combat illicit activity in critical areas, we contribute to a safer world while strengthening our expertise and solutions,” Camarillo emphasized. Quantifind also hosts industry forums to update its Risk Cards with expert insights, ensuring its technology stays ahead of emerging threats.
Camarillo added, “We regularly bring together financial crime professionals, NGOs, and industry specialists to refine risk detection methodologies. These forums allow us to stay ahead of emerging threats while also reinforcing our role as a trusted partner in the fight against financial crime.
“Ultimately, our commitment to doing good directly enhances our solutions’ effectiveness, credibility, and impact, helping organizations detect risks more accurately while making a meaningful difference in the world.”
Industry trends
Quantifind is closely monitoring several industry trends in 2025, including the rise of AI governance, the expansion of payment transparency regulations, and the shift toward real-time risk monitoring. Its leadership in explainable AI positions it well to meet growing regulatory demands for accountability.
Camarillo said, “As regulators demand more accountability in AI-driven decision-making, Quantifind’s leadership in explainable AI is becoming a critical differentiator.” In the area of payment transparency regulations, Camarillo added, “With evolving mandates on cross-border transaction monitoring, our solutions help organizations adapt quickly.”
For the rise of real-time risk monitoring, Camarillo stressed, “Organizations are shifting from static risk assessments to continuous monitoring, and our platform is at the forefront of enabling this transition.”
Future plans
The long-term vision for Quantifind centers around its desire to be the gold-standard for AI-driven risk intelligence.
In the next few years, some of the key goals for Quantifind include expand its global reach to support more organisations in their fight against financial crime. The company also wants to deepen its AI-driven risk typology detection, boosting detection of evolving threats.
“We also want to lead industry conversations on responsible, explainable AI in compliance, ensuring that financial institutions can confidently adopt and trust AI-powered solutions,” said Camarillo. “Finally, we plan to continue to evolve our integrations and automation capabilities, making risk intelligence an embedded part of every organization’s compliance workflow.”
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