It is a financial data transformation and workflow automation platform designed to help asset managers and financial professionals analyze and derive actionable insights from complex datasets.
It is a financial data transformation and workflow automation platform designed to help asset managers and financial professionals analyze and derive actionable insights from complex datasets. Avanzai uses AI agents to process and transform data, enabling users to identify market trends, assess risks, and uncover investment opportunities. The platform integrates pricing feeds, alternative data, and customizable technical and fundamental criteria to filter, rank, and analyze assets across the Russell 1000, major indices, ETFs, commodities, currencies, and cryptocurrencies. It also supports stress testing, scenario analysis, and multi-factor modeling with automated feature selection and risk decomposition.
Avanzai offers a chart visualization tool that transforms public datasets into insights, such as market correlations, asset screening, and risk exposure. Users can download charts or resultant data for presentations, infographics, or social media posts. For institutions, the platform provides a Python SDK and agent builder to connect custom data pipelines, enabling the creation of tailored AI agents. It also supports integration with Snowflake and Databricks, allowing users to replace datasets with their own and deploy solutions on private cloud infrastructure.
The platform is designed for use cases such as macro analysis, instrument screening and ranking, and risk analytics. Pricing starts at $29.99 per month, with 10 free queries to start, and includes access to a universe of financial assets. Additional features include a scraper agent for supplementary data, the ability to purchase credits for agents trained on proprietary data, and a demo option for enterprise solutions. Avanzai aims to simplify financial data transformation, enabling users to build factor risk models, portfolio optimization tools, and asset screeners in minutes rather than weeks.
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