Content prioritization
Identify high-potential content for further attention while its trajectory is still developing.
All productsSee emerging momentum.
Quantum Predictive Intelligence / Predict
ViralPulse AI
See emerging momentum.
Decide what to do next.
Spot promising content before its momentum becomes obvious. ViralPulse AI brings virality prediction, confidence scores, and explainable network signals into a SaaS and mobile experience for teams deciding what to publish, promote, and watch.
The intelligence
Early virality prediction and explainable information-diffusion analysis.
An independent QuGradient product
By the time a trend is obvious, the window may be smaller.
Content teams work in fast-moving environments. Early engagement alone can be hard to interpret without the network, content, and diffusion patterns around it. ViralPulse AI is designed to bring those signals into a clearer picture of what may happen next.
Detect emerging trends earlier, prioritize high-potential content, improve campaign timing and audience engagement, and monitor information diffusion.
From a question
to a clearer decision.
A practical workflow, with the technical detail available when you need it.
- 1
Start with your content
Enter a post, meme, or message of up to 500 characters. Add optional hashtags, a post timestamp, and network context.
- 2
See its potential to spread
Review viral probability and confidence alongside a visual map of posts, users, hashtags, and their connections.
- 3
Understand what drives the score
Explore graph influence, key features, and attention signals. Compare the full model with versions that remove individual components.
Where it can help.
Social media platforms, media companies, marketing teams, content creators, advertisers, and digital-intelligence organizations.
Campaign timing
Use emerging signals to inform when and where to focus a campaign.
Digital intelligence
Monitor how information spreads and explore the factors associated with growing momentum.
Inside the ViralPulse dashboard.
Follow a post from its first input to a prediction you can examine. Six connected panels bring the content, its network, and the model’s reasoning into view.
Content and context
Enter a meme, post, or message of up to 500 characters. Optional hashtags, a timestamp, and a user-degree setting add context about the network being analyzed.
Prediction output
See viral probability and confidence as percentages. Review inference latency, the number of quantum layers, and the features used alongside the prediction.
Explainability
Explore graph influence, the model’s entanglement score, key features, and attention weights for the first eight nodes to understand which signals shape the result.
Network visualization
View connections among posts, users, and hashtags. Attention links show where the model places emphasis across the network.
Model architecture
Explore the quantum-enhanced graph neural network pipeline. Open a layer to see its purpose, parameters, layer count, quantum qubits, and attention heads.
Component comparisons
Compare the full model against versions without quantum, attention, or user information, and against text alone. The ablation study makes each component’s contribution easier to examine.
The commercial relevance
A focused product.
A practical opportunity.
For platforms, publishers, creators, and advertisers, earlier insight can inform what receives attention and when. ViralPulse AI brings prediction and explanation into a repeatable workflow for content prioritization, campaign timing, audience engagement, and monitoring information diffusion.
A prediction is more useful when teams can examine why it was made. ViralPulse AI pairs probability and confidence with network visualization and explainable features. Component comparisons help teams assess what the quantum, attention, and network modules contribute.
Discuss partnerships or investmentAdvanced methods, interpretable signals
ViralPulse AI combines graph neural networks with Quantum Machine Learning, quantum-inspired methods, and hybrid Quantum AI techniques. It analyzes early engagement velocity, content attributes, network structure, and diffusion patterns. Its dual-mode architecture supports comparison of classical and quantum-enhanced approaches across prediction quality, scalability, and inference efficiency.
A probability, not a guarantee
Virality scores express likelihood and confidence. Use them alongside editorial judgment and campaign context. Classical and quantum-enhanced comparisons help evaluate the methods for your use case; a high score does not guarantee that content will go viral.
ViralPulse AI / Access
Start with
a conversation.
Bring a sample content workflow to a walkthrough of the prediction dashboard. Contact the team about current SaaS and mobile access options.
The dedicated product website is not yet available. Contact QuGradient to learn more or discuss access.