Financial Services Company

Revolutionized Business Analytics with Compound AI System

Our client, a global financial firm whose identity is protected by confidentiality, manages substantial assets across multiple business segments. Employing thousands of professionals in offices across continents, its operations required strategically applied data intelligence solutions to support further growth. Hiflylabs helped reestablish their digital infrastructure, and build an AI solution that meets modern enterprise needs.

99%

reduction in analysis time and cost: from 2 weeks and $20,000 to 20 minutes and $50

1 month

turnaround from project deployment to positive ROI

800x

acceleration in information processing compared to traditional human + ML methods

Challenge

The client aimed to harness the full potential of their vast data ecosystem. They already had robust solutions, like data warehouses, analytics pipelines and machine learning models for business intelligence. However, most data in any organization is unstructured—spanning PDFs, emails, presentations, images, or transcripts—for which traditional analytics tools fell short. Our client needed a solution to consolidate their diverse sources, extract meaningful insights, and enable data-driven decision-making across all business units while ensuring regulatory compliance and data security.

Solution

Hiflylabs implemented a cutting-edge business analytics platform powered by a multi-agent AI system. This solution leverages LangGraph pipelines, employing a fleet of language models that communicate with each other and utilize various tools. The system processes both structured and unstructured data from numerous sources with state-of-the-art accuracy. It generates comprehensive reports, interactive dashboards, and actionable insights, all accessible through a user-friendly interface built using Databricks Apps. Adhering to explainable AI standards, the platform provides full transparency of data sources and reasoning processes, allowing users to trace every conclusion back to its origin. This approach not only accelerates data analysis but also ensures trust and accountability in decision-making processes.

Services

AI Integration

Data Analytics

Business Intelligence

Machine Learning

Multi-Agent AI System

App Development

Industries

Financial Services

Technologies

LangGraph

OpenAI

Databricks

Amazon Web Services

HuggingFace

Python

Angular

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