Facteus for
Artificial Intelligence (AI)
Behavioral Ground Truth at Scale
Facteus delivers real-world consumer behavior data to power smarter, real-time, highly accurate enterprise AI systems and foundational model development. From personalization to predictive modeling, our transaction-based datasets bring AI products closer to how people actually spend, shop, and live.
Train AI Models on Ground-Truth Behavioral Signals
- Ingest real-world credit and debit card transaction data—no surveys, no models.
- Improve model accuracy by training on behavioral truths instead of inferred intent.
- Build embeddings and personas based on actual purchases across time, category, and location.
- Reduce model hallucination and bias by anchoring outputs to verified economic activity.
- Access high quality, exclusive data sources ready for analysis and training.
Build Smarter Retail and Restaurant Enterprise AI Products
- Train pricing, forecasting, or inventory models with product- and store-level data.
- Model trade-down behavior and price sensitivity across brands and regions.
- Forecast category-level demand using real-time purchasing patterns.
- Fine-tune vertical-specific LLMs with domain-rich transaction narratives.
- Benchmark consumer engagement across competitive brands and channels.








Power Hyper-Personalization at Scale
- Map customer behavior across all retail channels and categories.
- Understand wallet share dynamics internal data cannot capture.
- Predict customer lifecycle changes based on spending pattern shifts.
- Predict preferences and next-best actions based on real-life purchase sequences.
- Integrate seamlessly into LLM or RAG frameworks for intelligent user interactions.
Fuel Product Discovery and Category Trend Modeling
Detect new category breakouts based on product-level sales data.
Surface micro-trends by demographic, region, or channel.
Rank emerging product types based on velocity and share-of-wallet.
Inform retail media, merchandising, or innovation pipelines with trendline data.
Map cross-category affinities for deeper consumer understanding.