Fully Managed Teams

Blockchain & Smart Contracts

Cross-Platform Development

Private equity data analysis platform

MNDA

About

We developed a private equity data analysis platform for one of the world’s largest private equity firms. The solution processes unstructured data, applies ML models for prediction and forecasting, and features custom visualization dashboards. With TensorFlow, PyTorch, and AI-driven insights, it enables portfolio management, automated reporting, and real-time data analysis, enhancing investment decision-making and efficiency.

industry

FinTech

duration

Ongoing

team location

London, United Kingdom

team size

11-25 people

project work

Team augmentation

Challenge, approach, and impact

Processing Unstructured Financial Data

Cleaning, validating, and structuring complex private equity data for accurate analysis.

Scalability & Performance

Ensuring the platform could efficiently process large datasets and scale with increasing financial records.

Machine Learning Accuracy

Implementing ML models for prediction and time-series forecasting while maintaining high accuracy.

Customizable & Client-Specific Dashboards

Building highly flexible dashboards tailored to diverse investment strategies and reporting needs.

Seamless Integration with their core portal

Ensuring smooth data exchange between a core portal, reporting services, and portfolio management tools.

Advanced Reporting & Compliance

Developing automated PDF reporting with real-time updates while ensuring data security and regulatory compliance.

AI-Driven Decision Support

Implementing an AI assistant to help investors analyze data, manage portfolios, and optimize decision-making.

Efficient Data Processing & Cleaning

Developed a data pipeline to process, clean, and validate large volumes of unstructured financial data for accurate analysis.

Machine Learning for Predictions & Forecasting

Implemented TensorFlow and PyTorch-based ML models to enhance trend prediction and time-series forecasting.

Scalable and Flexible Architecture

Designed a high-performance platform capable of handling extensive financial datasets while ensuring seamless scalability.

Customizable Data Visualization Dashboards

Created interactive, client-specific dashboards to deliver real-time insights for fund and portfolio management.

Seamless Integration with core portal & Reporting Tools

Ensured smooth data exchange with the core portal portal, calculation engines, and PDF reporting services.

Automated Report Generation

Built a PDF reporting service for generating real-time portfolio summaries, asset management insights, and financial reports.

AI-Powered Investment Support

Integrated an AI-driven assistant to analyze market trends, assist with portfolio management, and provide data-backed investment recommendations.

Bussines Impact

Reduced Manual Effort

Automated data cleaning and validation significantly reduced manual effort and improved accuracy.

Improved Investment Decision-Making

AI-driven predictions and time-series forecasting provided actionable insights for portfolio management.

Faster & Scalable Analysis

The high-performance architecture enabled real-time data analysis, supporting large-scale financial operations.

Customizable & Client-Specific Insights

Interactive dashboards allowed investors to tailor data visualization and reporting to their specific needs.

Increased Operational Efficiency

Automated portfolio summaries, calculation engines, and PDF reports reduced time spent on manual reporting.

AI-Driven Investment Support

The AI assistant streamlined research and decision-making, providing real-time insights and portfolio optimization.

How we built

Domains

AI & ML Solutions

Web Apps

enterprise software

Data Analytics and Visualization

Cloud Computing

Databases

integrations

Conversational AI

services

backend development

Big Data & Analytics

frontend development

System Integrations

Machine Learning Services

Enterprise Architecture

Data Engineering

System Architecture

Bespoke Systems

roles

Product Owner

Full Stack Developer

Frontend Developer

Tech Lead

project manager

tech stack

.net

JavaScript

Python

sql

react.js

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