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Personalized decision-making tools using machine learning and behavioral science.
OnCorps has raised $59.0M across 2 funding rounds.
Key people at OnCorps.
OnCorps was founded in 2011 by Bob Suh (Founder and CEO).
OnCorps has raised $59.0M in total across 2 funding rounds.
OnCorps AI develops an agentic AI platform specifically designed for fund operations within the financial sector. This platform provides comprehensive oversight of transactions, employing advanced AI agents to identify root causes of issues and automate highly repetitive tasks. Leveraging machine learning and behavioral science, the system enhances decision-making and ensures compliance with the strict regulatory demands of major financial institutions.
The company was founded by Bob, who envisioned a solution to the inherent labor constraints faced by financial operations. Recognizing the impossibility of achieving 100 percent human oversight on every transaction amidst escalating workloads and regulatory complexities, he set out to build AI systems that could deliver full operational coverage and efficiency. OnCorps AI draws on more than a decade of experience in deploying production-grade artificial intelligence.
OnCorps AI serves leading financial institutions and asset managers seeking to optimize their operational workflows. The platform’s vision centers on elevating human performance by offloading predictable and laborious calculations and decisions to intelligent automation. This strategic application of AI aims to provide robust, efficient, and compliant financial operations.
OnCorps was founded in 2011 by Bob Suh (Founder and CEO).
OnCorps has raised $59.0M in total across 2 funding rounds.
OnCorps's investors include Jim Brown, Angelic Ventures, Hyperplane Venture Capital, Oak HC/FT.
OnCorps is a Boston-based fintech company founded in 2011 that develops AI solutions for financial operations, targeting large institutions managing trillions in assets.[1][2][3] It builds AI algorithms for anomaly detection, NAV oversight, financial reporting, pricing, and root cause analysis, serving clients like PIMCO and Natixis Investment Managers to automate laborious tasks, cut labor costs by over 90%, reduce errors, and ensure 100% transaction coverage while meeting strict regulatory standards.[1][2][3][5] With $8.41M raised in Series B-II funding and clients overseeing $9 trillion in assets (20% of the global mutual fund industry), OnCorps demonstrates strong growth through rapid deployments (under 100 days) and awards like the 2019 NOVA Award and Fintech Breakthrough Award.[1][3]
OnCorps was founded in 2011 in Boston, Massachusetts, amid rising demands for operational efficiency in financial services, where manual oversight couldn't scale to cover every transaction amid regulatory pressures.[1][2][3] The company's backstory centers on leveraging over a decade of experience in production-grade AI, fine-tuned with input from top financial institutions, to address labor constraints in back-office processes like reconciliation and reporting.[2][3] Early traction came from deploying algorithms that identified millions in errors and outperformed client forecasts, leading to partnerships with major players; pivotal moments include collaborations with PIMCO on AI agents for error detection (highlighted in 2025 FUNDfire coverage) and Natixis achieving 92% time savings.[3][5] This evolution from niche AI tools to a comprehensive platform was driven by cross-disciplinary teams from leading universities and consultancies.[2][3]
OnCorps rides the AI automation wave in fintech, capitalizing on post-2020 AI advancements like large language models to tackle back-office inefficiencies in an industry handling quadrillions in daily transactions.[1][2][5] Timing is ideal amid labor shortages, rising regs (e.g., SEC oversight), and error costs exceeding billions annually—its tools enable 92% time savings and full coverage where humans fall short.[3][5] Market forces like cloud scalability and generative AI favor OnCorps, positioning it against competitors like Rossum (document automation) and Intelligo (risk intel) by focusing on financial ops depth.[1] It influences the ecosystem by proving AI's ROI for giants like PIMCO ($2T AUM), encouraging industry-wide adoption of "AI agents" and setting benchmarks for safe, regulated AI in asset management.[5]
OnCorps is poised for expansion as AI agents evolve into standard fintech infrastructure, potentially scaling to more derivatives, compliance, and global ops amid 2025+ regulatory pushes for automation.[5] Trends like multimodal AI and real-time risk will amplify its edge, with Series B-II funding fueling deeper integrations for ultra-large clients. Its influence may grow by open-sourcing select algorithms or partnering on industry standards, solidifying its role in elevating financial performance from labor-intensive to AI-driven. This positions OnCorps as a quiet powerhouse automating the $100T+ asset management beast.
Key people at OnCorps.
OnCorps has raised $59.0M across 2 funding rounds. Most recently, it raised $55.0M Other Equity in December 2025.
| Date | Company | Round | Lead Investor(s) | Co-Investor(s) |
|---|---|---|---|---|
| Feb 1, 2022 | MariaDB | $104.0M Series D | — | Simon Xie, California Technology Ventures, European Investment Bank, GP Bullhound, Intel Capital, OpenOcean, Runa Capital, ServiceNow Ventures, SmartFin, Spintop Ventures, Tesi |
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Dec 11, 2025 | $55.0M Other Equity | Jim Brown | |
| Oct 1, 2015 | $4.0M Series A | Angelic Ventures, Hyperplane Venture Capital, Oak HC/FT |