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Vector ML Analytics provides an AI-powered financial management platform designed to automate and enhance financial operations for institutions. Its core offering integrates capabilities across Financial Planning & Analysis (FP&A), Debt Capital Markets, Credit Risk Analytics, and Asset-Liability Management. The platform utilizes hundreds of pre-built financial models spanning numerous asset classes, augmented by an AI copilot that assists with real-time analysis and reporting.
Founded in 2019 by Jade Clarke, Kevin McCarville, Mark Vrdoljak, Phillip Morgia, and Sadeq Safarini, the company originated from a shared understanding of the operational complexities faced by financial entities. The founders recognized the opportunity to develop a unified, intelligent system that could streamline traditionally fragmented financial processes, thereby improving accuracy and efficiency in forecasting and decision-making.
The platform is utilized by financial institutions, including banks, credit unions, and various lending companies, empowering their financial teams to manage assets, liabilities, and risk more effectively. Vector ML Analytics' vision is to fundamentally transform how financial operations are conducted, enabling organizations to achieve greater operational efficiency, reduce costs, and gain deeper, actionable insights for strategic growth.
Vector ML Analytics has raised $150K across 1 funding round.
Vector ML Analytics has raised $150K in total across 1 funding round.
Vector ML Analytics is a New York-based fintech startup founded in 2021 that builds an AI-powered financial modeling platform for banks, credit unions, and lending institutions.[1][2][5] The platform automates financial planning and analysis (FP&A), asset-liability management (ALM), credit risk reporting (IFRS 9/CECL), loan pricing, profitability modeling, capital forecasting, and liquidity management, generating instant 5-year projected balance sheets and income statements while integrating historical data, market data, and machine learning for predictive insights like interest rate impacts, defaults, and prepayments.[1][2][3][4][5] It serves small to midsize financial institutions globally, solving pain points of manual modeling—such as high costs, slow processes, and inaccuracy—by offering 100x faster, 75% cheaper, scalable tools with no-code customization, Excel integration, and AI-driven alerts/recommendations, leveling the playing field for smaller players in a $30B total addressable market.[2][3][5]
Despite being only three to four years old, Vector has achieved early traction with a growing client base, annual recurring revenue, international expansion (developers in Asia, operations in Africa, clients in Canada, Europe, Latin America), and funding from Conscious Venture Lab.[1][2][5]
Vector ML Analytics was founded in 2021 by CEO Sadeq Safarini, who holds an MSc in Investment and Risk Finance from the University of Westminster and prior experience as a Senior Consultant in Treasury at GoCardless.[1][2][5] Feras Khalil is also listed among key team members.[2] Headquartered at 420 Lexington Avenue, Suite 1402, New York, NY, the company emerged to address gaps in financial analytics for banks and lenders, leveraging Safarini's expertise in financial modeling to create an integrated AI platform.[1][5]
Early pivotal moments include participation in Conscious Venture Lab Cohort 10 for funding and acceleration, rapid development to Vector ML 3.0 as the first to combine FP&A, ALM, and credit risk tools, and organic growth via content marketing, establishing a global footprint shortly after launch.[1][2][3]
Vector rides the AI-driven fintech wave, targeting banking analytics amid rising interest rate volatility, regulatory pressures (IFRS 9/CECL), and demand for real-time risk management in a high-inflation, post-pandemic lending environment.[1][3] Timing is ideal as smaller institutions (30K+ in US/EU) struggle with expensive consultants and legacy software, while AI adoption surges—Vector's ML focus on predictive financial modeling fills a niche in a $30B TAM, enabling profitability optimization and compliance at scale.[5]
It influences the ecosystem by democratizing advanced tools, fostering innovation for underserved lenders, and supporting global debt capital markets/securitization via automated insights, potentially accelerating fintech consolidation as AI disrupts traditional FP&A.[2][4]
Vector ML Analytics is poised for accelerated growth, targeting $900K-$1.6M ARR per midsize bank client while expanding its global client base and refining AI for emerging risks like climate-linked credit events.[1][5] Trends like multimodal AI integration, real-time data lakes, and Basel IV regulations will shape its path, amplifying demand for predictive platforms amid economic uncertainty. Its influence may evolve from niche disruptor to category leader, powering "virtual CFO" services and partnerships with major clouds/banks, ultimately redefining accessible financial intelligence for the next wave of lending innovation—building on its early momentum as a New York fintech riser.[1][2][4]
Vector ML Analytics has raised $150K in total across 1 funding round.
Vector ML Analytics's investors include Right Side Capital Management.
Vector ML Analytics has raised $150K across 1 funding round. Most recently, it raised $150K Seed in February 2022.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Feb 1, 2022 | $150K Seed | — | Right Side Capital Management | Announced |
