PCP is the core intelligence layer.
• It pulls data from:
• sleep patterns
• feeding consistency
• weekly mood
• behavior anomalies
• micro-habits
• external sources (weather, noise levels, routines)
The AI aligns everything into one interpretation engine, producing insights, forecasts, alerts, and personalised recommendations. Instead of fragmented apps, PCP is a unified layer that thinks.

Wearables give you raw data. Canine.APP gives you meaning, without relying on hardware using fine tuned LLM’s with your data and breed as well.
It interprets:
• barks
• pacing
• play signals
• sleep variance
• feeding behaviour
• mood shifts
No device required — just a phone and the owner’s input streams. This eliminates cost, friction, and adoption barriers while delivering real intelligence.

The system learns your dog’s behavioural “language.” Over time, it builds signal mapping, linking inputs to patterns:
• specific bark tones
• pacing and restlessness
• attention-seeking patterns
• weather-linked discomfort
• anxiety triggers
• illness precursors
It then translates these into insights and alerts: “You’re seeing X because Y is happening — here’s what to do.” The more the dog uses the app (indirectly through behaviour), the sharper the translations.

Yes — because the system doesn’t rely on precision readings. It’s built on probabilistic pattern modelling, meaning it detects:
• shifts
• trends
• deltas
• aberrations
Humans are unreliable narrators. PCP compensates with:
• cross-referencing
• noise detection
• multi-signal correlation
• anomaly mapping
Accuracy emerges from pattern density, not hardware precision.

Every dog receives its own MCP server with:
• encrypted storage
• owner-controlled permissions
• GDPR/CCPA compliant data architecture
• no third-party selling
• data residency aligned to Australian laws
• The owner holds full responsibility for inputs, and AI simply interprets those inputs - nothing is shared unless you choose to share it.

Both. The system is scalable:
• casual owners get simple insights, reminders, and pattern warnings
• serious dog owners (trainers, breeders, behaviorists) get a high-resolution behavioral model
• vets can use shared MCP data for faster prep and context
• families can align routines using the same MCP server
This is not a pet-care gimmick. It’s a framework for lifelong canine understanding, applicable to every style of dog ownership.

Examples Include
• Weekly Trends: mood, behaviour, energy, appetite change
• Sleep Energy: quality, variance, prediction of tiredness or agitation
• Feeding Consistency: irregularities that signal issues early
• Behavior Data: habits, repeated triggers, emotion markers
• PCP Forecasting: predictive alerts about stress, anxiety, heat, boredom, or pain
• Ask Canine: a conversational AI that understands your dog's profile and gives tailored advice
• This is the deepest insight layer available to dog owners without needing sensors.