Side-by-side comparison of AI visibility scores, market position, and capabilities
NYC institutional digital asset custody with MPC+chip isolation at $8B valuation (2022); $1.04B+ total, $4T+ transactions, NYDFS custodian charter 2024 and Dynamic $90M acquisition Oct 2025 serving BNY Mellon/BNP Paribas competing with Anchorage and BitGo.
Fireblocks is a New York City-based digital asset infrastructure platform — backed with $1.04+ billion in total funding at an $8 billion valuation (January 2022) — providing 1,800+ institutional customers including BNY Mellon, Revolut, Worldpay, BNP Paribas, and Galaxy Digital with enterprise-grade digital asset custody, transfer, and operations through Multi-Party Computation (MPC) key management combined with hardware chip isolation security. Since inception, Fireblocks has secured $4+ trillion in digital asset transactions and created 130+ million wallets. In 2024, Fireblocks received a NYDFS qualified custodian charter and processed $60 billion in DeFi transactions. In October 2025, Fireblocks acquired Dynamic for $90 million — a developer-first wallet infrastructure platform supporting 50+ million onchain accounts for clients including Kraken, Zerohash, and Magic Eden — expanding institutional infrastructure into developer-accessible Web3 wallet tooling. Founded in 2018 by Michael Shaulov (CEO), Pavel Berengoltz, and Idan Ofrat.
Arva AI is an AI-powered financial analysis platform that automates investment research, portfolio monitoring, and market analysis for asset managers and financial analysts.
Arva AI is a financial intelligence company that applies AI to the research and analysis workflows of investment management, helping portfolio managers, analysts, and wealth advisors process market information, generate investment insights, and monitor portfolios more efficiently. Investment research is an information-intensive discipline that requires synthesizing large volumes of news, financial data, earnings transcripts, and market signals—Arva AI's platform automates the initial synthesis layer, allowing analysts to focus on higher-order judgment rather than data gathering.
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