AI Decision Intelligence
Insight, not dashboards
phinq is an AI reasoning layer that turns fragmented behavioral and performance data into actionable insight — delivered at the moment you need to decide.
What phinq is
An AI analyst that sits above your data and below your decisions. It observes context, reasons about state, and delivers insight when it matters.
Think less "data analytics" — more decision copilot, performance psychologist, reasoning partner.
The problem
Modern performers drown in data but starve for interpretation
Too much signal
Traders, founders, operators, and creatives are buried in metrics, logs, and dashboards. More data hasn't meant better decisions.
Too little meaning
Current tools show what happened. They rarely explain why. They almost never guide what to do next.
Feedback arrives late
Post-mortems happen after the damage is done. By the time you see the pattern, the window to act has closed.
Bias distorts judgment
Emotion, fatigue, overconfidence, and context loss corrupt decisions precisely when stakes are highest.
Philosophy
Five principles that shape phinq
Insight over dashboards
Users don't want more charts — they want clarity.
Context is king
Insight without context is noise.
Ambient, not chatty
AI should interrupt only when useful.
One insight beats 100 metrics
phinq delivers short, high-signal outputs.
Human remains in control
phinq advises — it does not automate decisions.
How it works
Observe → Reason → Advise
Signal Layer
Observe
phinq ingests performance metrics, behavioral signals, contextual state, and annotations. It works with partial data — no complete picture required.
- • Performance metrics (P&L, scores, output)
- • Behavioral signals (timing, hesitation, repetition)
- • Contextual state (time, duration, workload)
Reasoning Layer
Reason
LLMs synthesize signals, detect patterns, identify anomalies, and infer decision states. This is where bias, tilt, fatigue, and overconfidence get flagged.
- • Pattern detection
- • Anomaly identification
- • Psychological state inference
Insight Layer
Advise
phinq delivers short, high-signal insights called Chips. No long explanations. No noise. Just clarity when you need it.
- • Briefing — pre-session insight
- • Live Guard — in-session warning
- • Autopsy — post-session analysis
The Interface
phinq Chips
Small, contextual AI insights. Stateless. Explainable. Ambient.
Decision quality dropped after third repetition — likely fatigue. Consider a 10-minute break.
You deviated from baseline risk behavior in the last 20 minutes. This resembles previous high-error periods.
Based on yesterday's session: you perform 23% better when starting after 10am. Today's calendar is clear until noon.
Session complete. Win rate: 67%. Key insight: decisions made in first hour had 2x higher accuracy than final hour.
Boundaries
What phinq is not
phinq does not execute trades, actions, or workflows.
It observes. It reasons. It advises.
North Star
"phinq exists to make human decision-making measurably better using AI reasoning, not automation."
Ready for better decisions?
phinq is in private development. Join the waitlist for early access.