25,000+
Sources curated into one intelligence platform
Pharma Firm Scaled 1,000+ Insights With Microservices
Built a centralized platform which curates views from 25,000 sources and distills findings using concise reports
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25,000+
1,000+
Influencers tracked for real-time insights
500
Tweets captured every 2 hours
Client overview
A clinical data intelligence company serving pharma and life sciences turns trial and market data into AI-driven insights. Solutions include KOL monitoring, real-time news, a cancer biomarker database, and conference planners for faster decisions and pipeline strategy.
An expert team of MDs and PhDs curates information from 25,000+ sources and delivers reports. Coverage spans oncology, inflammation, cardiovascular, and CNS. Customers include Fortune 500 companies and emerging biotechs needing competitive intelligence and tracking.
Challenges
Turning millions of tweets into useful intelligence meant solving for scale, relevance, and security across the entire data pipeline.
High volume of unstructured data
The team had to manage millions of tweets across thousands of influencers, most of them noisy, inconsistent, and difficult to structure.
Lack of clarity in influencer sentiment
Distinguishing meaningful sentiment from replies, retweets, and irrelevant content made signal extraction highly error-prone and time-consuming.
Performance bottlenecks in remote environments
Rapid data growth and remote collaboration introduced risks of slow processing, security gaps, and coordination issues across teams.
Solution
We developed a scalable, microservices-based platform that enabled real-time tweet ingestion, intelligent filtering, and secure data delivery.
Automated data ingestion
Built a reliable system to continuously capture and update tweet data from key influencers in the pharma space.
Intelligent signal filtering
Developed automated filters to extract meaningful sentiment while removing noise from replies and retweets.
Performance-focused data architecture
Optimized the data pipeline to accelerate retrieval speed and provide seamless access to curated KOL insights.
Role-based platform security
Implemented layered security measures to protect sensitive information during remote collaboration.
Business impact
The platform delivered faster insights, reduced analyst effort, and gave decision-makers a sharper view of market sentiment.
Faster market signal discovery
Decision-makers accessed timely, relevant insights from influencer conversations without manual analysis delays.
Improved strategic forecasting
High-volume sentiment data enabled early detection of shifts in clinical trends and public opinion.
Reduced analysis overhead
Automated data capture and updates minimized manual processing and improved team productivity.
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