Arcana builds portfolio analytics, risk and research software for hedge funds and asset managers, running on a heavy AWS data stack (Spark, Airflow, ClickHouse, Kinesis, Glue) fed by Bloomberg and FactSet. A full LLM toolkit — OpenAI, Anthropic, Gemini, LangChain, LlamaIndex — points to AI-driven research workflows. Accelerating, data- and engineering-led hiring plus a CRO search signals a push to scale enterprise sales.
Notable leadership hires: Sales Director, Chief Revenue Officer
Arcana, founded in 2022 and headquartered in New York, NY, provides a portfolio intelligence platform for institutional investors such as hedge funds and asset managers. The product spans portfolio construction, performance attribution, risk management, factor models, crowding analysis, research management and alpha capture. It consolidates portfolio data, analytics and research that typically sit in separate systems. The company is privately held, employs 201–500 people, and hires across the United States, India and the United Kingdom.
Arcana uses Python, Go, PostgreSQL, ClickHouse, Redis, Cassandra, Apache Spark, Airflow, Temporal and AWS services like Kinesis, Glue and EMR, plus Bloomberg, FactSet, Salesforce and HubSpot.
Yes. Arcana's stack includes OpenAI, Anthropic and Gemini models alongside LangChain and LlamaIndex, consistent with AI-powered research and investment workflows.
Yes, hiring is accelerating, led by data and engineering with sales, support and product roles, including a Chief Revenue Officer search. Roles are in the United States, India and the United Kingdom.
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Arcana's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.