About FluidEdge Lab
FluidEdge Lab is a leading AI and data science research and consulting firm focused on building next-generation risk models and fraud detection systems for the financial sector and adjacent industries. We specialize in delivering high-impact, regulatory-aligned AI solutions that elevate risk evaluation, fraud prevention, and strategic decision-making across lending, fintech, banking, and insurance.
Through advanced machine learning, alternative data integration, and behavioral analytics, FluidEdge Lab empowers organizations to detect threats earlier, assess credit risk more precisely, and maintain compliance through model transparency and explainability.
Our deep expertise in predictive modeling and algorithmic development enables financial institutions, digital lenders, and payment platforms to proactively manage portfolio risk, combat evolving fraud patterns, and unlock growth opportunities—while fostering financial inclusion and resilience.
At FluidEdge Lab, we turn complex data into actionable intelligence, bridging the gap between cutting-edge AI innovation and real-world risk and fraud challenges. We build scalable, interpretable, and high-performance decision systems to help our clients lead in an increasingly dynamic and data-driven financial ecosystem.
Meet our Founder
Dorna Shakoory – Founder & CEO
Visionary Leader | AI & Risk Analytics Expert | Fintech Innovator
FluidEdge Lab is an advanced AI and data science consulting firm dedicated to transforming how financial institutions and adjacent industries manage risk and detect fraud. Founded by Dorna Shakoory, a seasoned leader with over a decade of experience in credit risk modeling, alternative data integration, and regulatory-compliant AI, FluidEdge Lab builds next-generation decision systems that are both intelligent and explainable.
Under Dorna’s leadership, FluidEdge Lab pioneers the development of high-impact machine learning models that empower lenders, fintechs, banks, and insurers to predict delinquency, detect complex fraud patterns, and optimize credit strategies with confidence. Our tailored solutions integrate structured and alternative data sources to drive smarter, faster, and fairer outcomes.
At FluidEdge Lab, we blend innovation with compliance, ensuring our models not only outperform legacy systems but also meet the highest standards of transparency and governance. By bridging traditional credit practices with modern AI, we help financial organizations thrive in a rapidly shifting market—reducing risk, enhancing inclusion, and accelerating growth.
Board of Directors
At FluidEdge Lab, our Board of Directors unites seasoned financial executives, data science pioneers, and fintech visionaries dedicated to advancing the future of AI-driven financial intelligence.
With deep expertise in credit risk, fraud prevention, regulatory strategy, and data-driven decision-making, our board provides the strategic oversight and thought leadership needed to drive responsible AI adoption, scalable innovation, and sustainable growth.
Guided by our founder Dorna Shakoory’s vision, the board plays a critical role in shaping FluidEdge Lab’s mission to deliver high-impact, explainable, and ethical AI solutions that redefine how financial institutions manage risk and make decisions in an increasingly complex digital economy.
Nathan Carter
Board Member
Ryan Mitchell
Board Member
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Dorna Shakoory
Board Member
Innovative Solutions
At FluidEdge Lab, we leverage cutting-edge machine learning, alternative data, and advanced risk analytics to help fintechs, lenders, and financial institutions make faster, fairer, and more intelligent financial decisions.
Founded by Dorna Shakoory, an industry expert in AI-driven credit risk and fraud analytics, FluidEdge Lab delivers scalable, explainable, and regulatory-compliant solutions that optimize risk modeling, fraud detection, and underwriting strategies.
Our mission is to empower organizations with smarter decision systems that drive precision, transparency, and financial inclusion—transforming legacy risk processes into adaptive, future-ready frameworks.
Data Science Visionaries
At FluidEdge Lab, we develop cutting-edge, AI-powered solutions that transform credit risk modeling, fraud detection, and alternative data integration for fintechs, lenders, and financial institutions.
Founded by Dorna Shakoory, a recognized leader in AI and risk analytics, FluidEdge Lab harnesses machine learning, real-time financial behavior, and predictive analytics to drive smarter, faster, and more transparent decision-making. Our models are designed for performance, explainability, and compliance—empowering organizations to manage risk with greater precision and unlock new dimensions of financial intelligence.
Services
At FluidEdge Lab, we deliver AI-powered solutions that transform financial decision-making for fintechs, lenders, and financial institutions.
Founded by Dorna Shakoory, a visionary in credit risk and fraud analytics, FluidEdge Lab specializes in building intelligent, explainable, and regulation-ready models that elevate credit risk assessment, fraud prevention, and alternative data integration.
Our solutions are designed to help organizations make faster, fairer, and more data-driven decisions—enhancing underwriting precision, reducing default rates, and proactively identifying risk. By merging advanced machine learning with deep financial domain expertise, FluidEdge Lab empowers financial institutions to innovate responsibly, scale efficiently, and stay ahead in a dynamic risk landscape.
Case Studies
Reducing Delinquency by 20% with AI-Powered Credit Risk Modeling
Client: Digital Lending Platform
Challenge: High delinquency rates due to reliance on traditional credit scores.
Solution: Implemented an AI-driven risk model integrating alternative data sources like real-time bank transactions, spending patterns, and loan repayment behavior.
Results:
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20% reduction in delinquency rates within 6 months
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Improved loan approval accuracy, reducing false rejections by 15%
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Better risk segmentation, enabling personalized lending strategies
Boosting Loan Approvals by 25% Using Alternative Data
Client: BNPL (Buy Now, Pay Later) Fintech
Challenge: Limited approval rates for thin-file and no-file borrowers.
Solution: Integrated Plaid data, utility bill payments, and employment verification metrics into underwriting models to assess creditworthiness beyond traditional scores.
Results:
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25% increase in loan approvals without raising default risk
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Expanded financial access for underbanked consumers
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Improved compliance and AI explainability, ensuring fair lending practices
Michael T., Head of Risk Analytics, Fintech Lender
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"FluidEdge AI completely transformed our credit risk modeling approach. By integrating alternative data and machine learning, we reduced delinquency rates by 20% and significantly improved our underwriting accuracy. Their AI-driven solutions are a game changer!"
David R., CEO, Alternative Lending Platform
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"We struggled with traditional credit scoring methods, but FluidEdge AI helped us integrate real-time bank transaction data and behavioral analytics into our underwriting model. The result? Faster, fairer, and more accurate lending decisions. Highly recommend!"
Jessica M., VP of Credit Strategy, Consumer Finance Firm
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"Their AI explainability tools gave us complete transparency into our credit risk models. Now, we can confidently defend our underwriting decisions to regulators and stakeholders. FluidEdge AI doesn’t just build models—they build trust."
