Professional AI Solutions for Specific Business Scenarios
DeepMiner provides eight specialized domain specific models, each optimized for specific business scenarios
Real-time monitoring of data anomalies, early warning of business risks, applicable to finance, security, and operational monitoring scenarios.
Precisely analyze multi-channel marketing effectiveness, optimize placement strategies, and help marketing teams improve return on investment.
Interpret users' emotional responses to advertisements, guide creative optimization, and improve ad resonance and conversion rates.
Predict traffic trends across channels, allocate budgets reasonably, and achieve optimal allocation of marketing resources.
Evaluate content performance potential, guide content creation direction, and improve content marketing effectiveness.
Predict sales based on multi-factor analysis, optimize inventory and production, and reduce inventory costs and stockout risks.
Identify system risks in advance, reduce operational risks, applicable to IT, manufacturing, and equipment management scenarios.
Intelligently optimize human resource allocation, improve operational efficiency, applicable to retail, logistics, customer service, and other fields.
Hypergraph Multimodal Large Language Model, designed specifically for measuring advertising creative effectiveness
HMLLM utilizes various biosignals and eye-tracking data to build a hypergraph structure, precisely evaluating cognitive differences in how different populations respond to video creatives.
Accepted at ACMMM2024 (CCF-A top international conference), which received 4385 submissions with only 1149 accepted, with Transwarp Technology ranking 8th.
Pioneered a multimodal large model evaluation benchmark with more than 3 modalities, created the SRI-ADV dataset, collecting EEG and eye-tracking data generated when viewing advertising videos.
The Hypergraph Multimodal Large Language Model (HMLLM) comprehensively utilizes images, video elements, EEG signals, and eye-tracking data to establish semantic connections by exploring complex relationships between different modalities.
Precisely evaluates cognitive differences in how different populations respond to video creatives, addresses the research gap in video creative evaluation, and provides scientific basis for advertising creative optimization.
DeepMiner Domain Specific Models are applicable to multiple industries, meeting different business needs
| Domain Specific Models | E-commerce | Retail | FMCG | Finance | Manufacturing | IT |
|---|---|---|---|---|---|---|
| Anomaly Detection Model | ||||||
| Attribution Analysis Model | ||||||
| Ad Sentiment Analysis Model | ||||||
| Ad Traffic Prediction Model | ||||||
| Content Confidence Prediction Model | ||||||
| Sales Prediction Model | ||||||
| Fault Prediction Model | ||||||
| Scheduling Model |
DeepMiner Domain Specific Models support flexible integration and deployment to meet different enterprise needs
Easily integrate into existing enterprise systems through standard API interfaces, without requiring large-scale modifications.
Support public cloud, private cloud, or hybrid cloud deployment, flexibly adapting to enterprise IT architecture requirements.
Support private deployment within enterprises to meet data security and compliance requirements.
Provide model customization and optimization services according to specific enterprise needs to achieve optimal business value.
Explore how DeepMiner Domain Specific Models can provide professional AI solutions for your business