Summary

Client A USA-Based Pharmaceutical Company Country USA
Project scope and technology Crew AI, OpenAI, Pinecone, Langchain, ReactJS, MongoDB, Node.js Industry Pharmaceuticals
Team Composition 1 UI/UX Designer, 2 Frontend Developers, 2 Backend Developers, 1 Quality Analyst, 1 Business Analyst, 2 AI Developers Work duration 6 Months

AI Patent Research Software is designed to accelerate and simplify the complex landscape of pharmaceutical patent analysis. It utilizes the potential of artificial intelligence to empower researchers to swiftly identify alternative molecules and formulations and bypass patents of medicines.

This software allows users to input patent documents and relevant research papers, written in any language, and instantly suggest ways for patent circumvention, which significantly reduces research time from months to mere days.

Challenge

A USA-based pharmaceutical firm was following the traditional patent research process, which was time-consuming and didn’t guarantee accurate outputs. Another challenge was the time required to find alternative formulations and launch similar medicines without infringing on existing patents.

The client contacted Quytech to develop an AI-powered patent research software that can automate the research as well as the patent analysis process to complete months of work in days. They wanted the software to recommend alternatives to molecules and formulations that could seamlessly bypass existing patents and accelerate the development process.

AI Patent Research Software streamlines pharmaceutical patent research and analysis, enabling researchers to rapidly identify alternative molecules and formulations. By processing patent documents and research papers in any language, the software instantly suggests formulations that can help circumvent existing patent circumvention strategies and reduce research timelines.

Process

Our dedicated AI experts and development professionals utilized the potential of generative AI to build a modern patent research analysis software that can accurately and efficiently analyze even complex patent and research documents.

They also implemented NLP to make the software understand and analyze research papers, written in different languages, to identify subtle variations and bypass strategies used in pharmaceutical patent circumvention.

During the development of this patent research software using AI, our main focus was to ensure accuracy and reliability in identifying technical intricacies, build a robust database, and refine the AI model to handle diverse terminology and scientific jargon.

The goal was to reduce research time while automating the analysis of patents and research papers for expediting the medical research and development process.

Key Features:

  • Agentic AI-based scraping of patent data from multiple websites using FireCrawler
  • Gen AI-based patent text analysis
  • Identifying and suggesting alternative formulations that could bypass existing patents.
  • IPC/CPC code lookup

Outcome

After half a year of dedicated and meticulous development, Quytech built an AI-powered patent research software that can drastically reduce the time and effort required for patent analysis. The software leverages generative AI to analyze patent documents and research papers, irrespective of their language.

Based on the analysis, it identifies and suggests alternative molecules, formulations, or processes that can be used to bypass existing patents.

3 Weeks

Ideation

18 Weeks

Development

2 Weeks

Testing

1 Week

Deployment
Design
Development
Project Duration

I would love to thank Quytech for turning our dream patent research software into reality. What impressed me the most was their quick understanding of the project, AI expertise, and timely delivery. Besides, their team's expertise and support have been exceptional throughout the entire development process. The speed and accuracy this AI-powered patent research software brings have helped us save countless hours and effort. Highly recommended!

CEO, USA-Based Pharma Company

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