AI-powered media intelligence platform that transforms raw news and social data into real-time sentiment signals and trend velocity for PR and marketing teams.

The Context
Client: Enterprise-level Marketing & PR Agencies
Industry: Media Intelligence & Data Analytics
Our Services
The Mission
"Transform thousands of daily articles and social posts into a real-time intelligence layer—so PR and marketing teams don't just see the news, they understand its emotional impact and velocity before competitors do."
In a 24/7 news cycle, traditional aggregators are often too slow, too noisy, or too rigid.
Our clients faced "information overload"—thousands of articles and social posts across different languages, with no clear way to see which stories were actually gaining traction. They needed a way to not just see the news, but to understand the emotional impact (sentiment) and velocity (trendiness) of specific topics at scale, without their systems crashing under the weight of millions of data points.
We engineered a high-frequency data ecosystem that transforms raw text into actionable PR intelligence. The platform utilizes a sophisticated ML pipeline to move beyond simple keyword matching.
Using advanced NLP, the system automatically groups thousands of disparate articles into "Topic Clouds," identifying emerging stories before they break into the mainstream.
A custom-trained machine learning model analyzes the tone of both professional news and social media discourse, classifying them as positive, negative, or neutral.
We developed a proprietary algorithm that ranks topics based on relevancy and real-time social engagement, helping teams prioritize which "fires" to put out and which trends to ride.
Built on a distributed cloud-based architecture, the system maintains sub-second latency, even when processing massive spikes in global news volume or handling thousands of concurrent users.
PR and Marketing leads now operate from a centralized "War Room" dashboard:
High
Accuracy
Validated precision in both topic clustering and sentiment classification across diverse datasets.
Zero
Lag
Ability to process and visualize global news spikes in real time with sub-second latency.
Days
Ahead of Competitors
Marketing teams can now adjust messaging hours—or even days—ahead of the competition.
80%+
Operational Efficiency
Drastic reduction in time spent on manual news clipping and monitoring.
"We no longer just react to the news; we anticipate it. The ability to see the sentiment behind a trend in real-time has fundamentally changed how we handle crisis management and brand positioning."