Side-by-side comparison of AI visibility scores, market position, and capabilities
AI investment accounting SaaS platform. $155M raised ($100M Series C). Citi and State Street strategic investors. Founded 2018, NYC/Tel Aviv. Private.
FundGuard was founded in 2018 with offices in New York and Tel Aviv, built on the premise that investment accounting infrastructure — one of the most critical and least modernized areas of financial services — needed a cloud-native, AI-powered rebuild. The company's platform targets asset managers, fund administrators, and custodians that run complex multi-asset portfolios and need real-time, accurate accounting across jurisdictions without the brittleness and cost of legacy systems.\n\nFundGuard's SaaS platform delivers investment accounting, fund administration, and reporting capabilities through a data model designed for modern portfolio complexity — supporting equities, fixed income, alternatives, and derivatives with automated reconciliation, tax lot tracking, and compliance reporting. Strategic investors Citi and State Street bring direct validation from two of the world's largest custodians, whose backing signals the platform's readiness for institutional-grade workloads.\n\nFundGuard raised $155M in total funding, including a $100M Series C, making it one of the most heavily capitalized pure-play investment accounting software companies in the market. The company is targeting the multi-trillion-dollar fund administration industry, where incumbents like SS&C and Broadridge rely on decades-old architectures. FundGuard's AI-driven automation reduces operational errors and manual reconciliation overhead, positioning it as the infrastructure layer for the next generation of asset management operations.
Adept AI raised $415M to pioneer computer-use AI agents; its core research and agent team moved to Amazon in 2024 in a landmark talent acquisition while the company continues developing ACT-1 for enterprise automation.
Adept AI was founded in 2022 by a team of former OpenAI, DeepMind, and Google Brain researchers to build AI that can take actions on computers — navigating software interfaces, filling forms, and executing multi-step workflows in any application. Its ACT-1 model demonstrated the ability to control web browsers and desktop applications through natural language instructions, pioneering the computer-use agent paradigm that Anthropic later commercialized with Claude's computer use feature.
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