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Taming the Data Deluge: Engineering a State of the Art Big Data Analysis Platform

Transforming massive patent data into decisive, actionable intelligence

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Codetribe partnered with Ensemble IP to solve a critical big data challenge: their AI platform generated massive volumes of unstructured patent data that overwhelmed expert users. We engineered a sophisticated data visualization and analytics layer, transforming raw data into decisive insight. This strategic enhancement unlocked the full potential of their AI, accelerating user adoption and positioning the platform for enterprise-scale success.

Client

Ensemble IP

Country

USA

Market

Globally

Type

SME

Story

Ensemble IP is a globally trusted partner for attorneys and patent professionals, operating in the high-stakes world of intellectual property. They developed the revolutionary AI platform Quartet to navigate the colossal universe of patent data. Its own power, however, created a critical bottleneck – a "data deluge" that overwhelmed experts and diluted search value, creating a strategic need to transform raw data into actionable intelligence.

Business Impact

Enhanced Decision Confidence at Scale

The new interface delivered a transformative improvement in the time required to analyze a global database of about 19 million documents across 140 jurisdictions. Massive efficiency gain empowers patent professionals to make faster, more confident strategic decisions at an unprecedented scale. By turning a source of friction into a tool professionals "enjoy using," the enhancements drove higher user satisfaction and platform adoption, creating a durable competitive advantage.

Unlocking Enterprise-Readiness and Adoption

The new management module immediately positioned Quartet as a true enterprise-grade platform, removing the primary administrative barrier for larger clients. This unlocked a previously inaccessible market segment and enabled sales teams to confidently onboard major organizations, significantly boosting adoption by large teams and solidifying Quartet's market position.

Securing a Competitive Edge with High-Value Features

The "Archives" feature is set to transform Quartet from a reactive search tool into a proactive knowledge management platform. By enabling clients to create curated, high-value collections from a global dataset of nearly 19 million documents, it provides a reusable strategic asset that creates a powerful competitive differentiator. This evolution positions Ensemble IP to win major clients and drives future revenue growth through a forward-looking product strategy.

~19M

Documents Analyzed Across 140 Jurisdictions

Focus Area

Domains

AI & ML Solutions

Paas

Data Analytics & Visualization

Databases

Services

Product Management & Strategy

Project Management

Team Augmentation

UX/UI Design

Web Development

Database Design & Management

Code Review & Refactoring

Backend Development

Frontend Development

Industries

Legal & Insurance Tech

Business & Expert Solutions

Workplace Solutions

Tech Stack

JavaScript

MongoDB

PostgreSQL

Python

React.js

TypeScript

GraphQL

REST API

React Hook

Challenges

Ensemble IP's AI platform could instantly search millions of patents, but this created a critical "data deluge" that overwhelmed expert users and negated the AI's speed advantage. This information overload, combined with the lack of centralized enterprise management tools, hindered adoption by large-scale clients. The core challenge was to transform this powerful big data engine from a simple search tool into a strategic, enterprise-ready platform that delivered clear, actionable intelligence.

Solutions

Codetribe helped engineer a sophisticated data visualization and analytics layer to solve the data overload, transforming raw data into decisive insight through an intelligent, user-centric interface and customizable dashboards. To prepare the platform for enterprise-wide adoption, we architected a comprehensive management module for licenses, users, and roles. We are continuing this deep partnership by co-creating premium features, to evolve the platform into an indispensable strategic tool.

Ensemble IP's users are experts drowning in data. Our challenge was to engineer clarity. It wasn't just about building a UI; it was about transforming a wall of text into a clear, visual hierarchy that allowed them to find the critical insight in seconds. Seeing that 'aha' moment for the user is what makes this work so rewarding.

Haris Adilović

Frontend Developer

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