Use Case
AI Training
Train AI systems on real human behavior
Ground your models and agents in how people actually act — not modelled assumptions
As AI systems become central to discovery, recommendation, and decision-making, their performance is only as strong as the data they are trained on.
Most models today rely on scraped web data, synthetic training loops, or controlled interaction environments. These sources do not reflect how people actually navigate apps, compare options, switch between platforms, or make decisions in real-world contexts.
The result: A growing disconnect between how models are trained — and how users actually act.
Are your AI engines trained on the highest-quality consumer data?
That gap shows up in performance – recommendations that don't reflect real intent, ranking systems that optimize for the wrong signals, and models that drift, reinforce bias, or fail to adapt to how behavior is changing.
RealityMine provides continuous, real-world behavioral data that captures how people actually navigate the digital ecosystem — across apps, platforms, and journeys.
Benefits
What you can do with RealityMine
We structure this behavioral data into feeds that can be ingested directly into your ML and AI pipelines – providing training data grounded in real-world decision-making, not simulated interactions.
Train models on real sequences of discovery, comparison, switching, and purchase behavior
Ensure automated decisions reflect how users actually evaluate and choose between options
Improve recommendation and ranking systems using observed behavioural patterns, not inferred proxies
Reduce reliance on synthetic or self-reinforcing training loops that introduce bias and drift
Continuously validate and refine models against real-world behavior as it evolves
RealityMine provides the real-world behavioral data needed to train, fine-tune, and evaluate AI systems against how people actually behave. We enable the shift from commoditized training data to proprietary behavioral signals. As models converge on similar data, this becomes a key differentiator: systems trained on real-world behavior that others can't easily replicate.
