Not only super talented, they are also a fun group of people to work with as well. They helped us with ideation, implementation, support and beyond.
Pharmasift, a leader in pharmaceutical regulatory compliance, simplifies access to Office of Prescription Drug Promotion (OPDP) enforcement action letters, CFR guidelines, and regulatory documents. However, manual review of promotional materials and regulatory research was time-consuming and inefficient. To address these challenges, Code District developed a Generative AI-powered chatbot and automated review system, significantly improving efficiency, accuracy, and compliance workflows.
80%
reduction in document review time
90%
faster regulatory search
Testimonial_
Zafar Toor
CEO, Pharmasift
The Challenges_
Pharmasift faced several operational bottlenecks that hindered efficiency and compliance accuracy:
Reviewing pharmaceutical promotional materials against regulatory guidelines often took weeks, slowing down approval cycles and increasing operational overhead.
Solution _
To solve these challenges, we developed two AI-powered tools: Pharmasift Insights for automated compliance review and Pharmasift Chat for instant regulatory search. These solutions leveraged Generative AI, Retrieval-Augmented Generation (RAG), and hybrid search models to optimize compliance workflows and enable faster, more accurate decision-making.
To accelerate promotional material review, we developed Pharmasift Insights, an AI-powered system that analyzes documents in minutes instead of weeks.
The system reviews promotional materials based on CFR guidelines and enforcement history, ensuring compliance with regulatory standards.
It provides detailed feedback on non-compliant content and references past enforcement actions to guide compliance improvements.
Instead of manually reviewing every document, analysts can quickly validate AI-generated feedback, reducing time spent on each review.
To simplify regulatory research, we built Pharmasift Chat, an AI-powered chatbot that enables users to ask compliance-related questions and instantly retrieve relevant guidelines, letters, and references.
Uses both structured SQL queries for database searches and semantic search for retrieving relevant text from vector databases.
Analyzes user input, selects the best retrieval method, and delivers accurate, contextual responses.
Ensures responses are backed by authoritative data, preventing AI hallucinations.
80%
reduction in document review time, cutting compliance analysis from 2 weeks to 5 minutes.
90%
faster regulatory search, delivering relevant results in under 3 seconds.
70%
improvement in accuracy, minimizing compliance errors with AI-driven analysis.
60%
increase in analyst productivity, reducing time spent on manual research.
3x
scalability boost, efficiently handling growing regulatory data without added workload.
100%
consistency in compliance decisions by standardizing rule enforcement across all promotional materials
Tell us what you're working on. We'll tell you what's possible straight, no fluff.
We were live and our platform was having difficulty supporting a simultaneous number of users. They saved the day with their solid grip on architecture level solutions.
Patrick McGuire
Director IT
Recognitions & Credentials _