Charli AI
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About
Charli AI offers an advanced Automated Analyst specifically designed for financial services, enabling users to generate detailed equity reports in minutes by simply entering a stock ticker. This AI-driven platform integrates complex data from various sources including FactSet, providing fact-based analysis and ensuring data privacy and compliance. The Multidimensional AI technology allows for scalable solutions, automating tasks traditionally performed by financial analysts. Charli AI facilitates intelligent question and answer functionalities, streamlining data access and reducing the manual effort typically required in data mining, curation, and report generation.
Platform
Features
• automated financial report generation
• integration with factset
• fact-based financial analysis
• data privacy and compliance standards
• multidimensional ai architecture
• intelligent q&a functionalities
FAQs
What kind of data source can Charli AI handle?
Charli can consume vast amounts of structured, semi-structured, and unstructured data and process everything through complex AI ensembles.
How is Charli implemented within the enterprise?
Our Delivery team engages with our customers to identify the use cases and understand the data access required for a successful deployment.
How Does Charli AI manage data privacy and security?
Charli AI takes security and privacy seriously, with transparent and observable outputs, SOC2 compliant data centers.
Can AI be applied in more than one or two places in my business?
Charli AI is a Decision Intelligence platform and capable of scaling both vertically and horizontally.
How does Charli AI fit in my organization?
The Charli AI Ancaeus platform can be integrated in your existing infrastructure, with more than 600 available integrations.
How is Charli AI different than competing AI products?
Charli AI protects customer data by never using it to train public models and offers factual results with high accuracy.
Where is Charli AI hosted, how does it get deployed?
Charli AI runs on GCP, Azure, and AWS, with support for private cloud environments and on-premises deployments.
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