Phoebe
For AA & AAA Game Studios

Know Your Score. Secure Your Success.

Stop relying on gut feeling. Phoebe is a predictive intelligence engine that forecasts game ratings and commercial performance months before launch — allowing you to pivot your strategy when it actually matters.

Early access members receive a 2,000 $PHOB launch voucher.

Real-time Dashboard Preview · Forecasting Lords of the Fallen II
Live Forecast · AA · Q4 2026
#PH-2031
Lords of the Fallen II · Critic Aggregate Score (0–100)
72.0±1.3 margin
consensus
Atomic Arguments — weighted
0/6 arguments aggregatedidle
Human-AI Synergy

Four steps from scattered intuition to converged forecast.

STEP 01

Follow & Deliberate

Users follow trusted analysts across social circles, surface their analyses, and discuss arguments in structured threads.

STEP 02

Predict with Certainty

Forecasters submit probabilistic multi-guess predictions — never a Yes/No. Every claim is paired with a certainty score.

STEP 03

AI Weighted Aggregation

Phoebe's dynamic algorithm weights each input by historical accuracy, deliberation quality, and certainty calibration.

STEP 04

Studio Dashboard

Aggregated forecasts, drill-down arguments, and confidence intervals — accessible in your team's Studio in real time.

The Methodological Moat

Why Phoebe beats prediction markets, by design.

Polymarket asks the crowd binary questions. Phoebe asks how sure they are, and weights every voice by earned merit.

01 — Certainty-Weighted Probability

We don't ask "Yes or No." We ask "How sure are you?"

Drag the slider. Every prediction is graded on conviction, not just direction — turning binary noise into calibrated signal.

Your certainty78%
Doubt
Lean
Confident
Certain
02 — Merit-Weighted Aggregation

Not all voices are equal. Superforecasters compound.

Phoebe's AI weights predictions by your historical accuracy and the quality of your deliberation — so signal compounds, noise decays.

KI
K. Imura
Critic · accuracy 91%
weight
×1.42
MV
M. Velasco
Analyst · accuracy 84%
weight
×1.21
LP
L. Park
Press · accuracy 62%
weight
×0.78
03 — Structured Deliberation

Blind circles eliminate the bandwagon effect.

Forecasts cluster in semi-blind circles before peer exposure — Bahrami's neuroscience prevents groupthink from poisoning the signal.

BLINDSEMI-BLINDCONSENSUS
Validated by Amazon Games
We used Phoebe for one of our titles. The process was very easy and low friction on our side, as we did not have to produce any specific asset. Phoebe’s prediction was spot on — 1% error margin after 120 press reviews. This was way more accurate than the mock-up reviews we did with our traditional vendors.
Greg Gobbi
Greg Gobbi
Chief Creative Officer & Head of Development · Amazon Games
1%
error margin
120
press reviews benchmarked
0
assets required from team
The Argument Graph

Every forecast is an audit trail of arguments.

Pick a prediction. Drag, zoom, click any node to drill down to the atomic argument and its sources. The arc around each argument shows its weight in Phoebe's aggregation.

Argument Graph · KOM
King of MeatAverage Critic Score
King of MeatMechanics & LoopCritical ReceptionTeam Pedigree
Root · predictionClusterArgument · bullishArgument · bearishSource
The Founders' Moat

Four disciplines. One forecasting engine.

Paran Tanzifi

Paran Tanzifi

Co-Founder & CEO

Visionary with a decade experience in IT and gaming startups. Owns Phoebe's business and marketing strategy.

Business · Marketing
Kianoosh Kani

Kianoosh Kani

Co-Founder & COO

Serial founder across tech and gaming. Drives Phoebe's operating system and product surface through rigorous design-thinking.

Design Thinking · Ops
Bahador Bahrami

Bahador Bahrami

Co-Founder & CSO

Neuroscientist whose published work on crowd wisdom and structured deliberation underpins Phoebe's methodological moat.

Neuroscience · Deliberation
Bernard Okwampah

Bernard Okwampah

Co-Founder & CTO

AI engineer with deep cybersecurity expertise. Architects Phoebe's merit-weighting algorithms and the platform's trust layer.

AI · Cybersecurity
The Science Behind Phoebe

The Neuro-Edge: cognitive AI architecture.

Phoebe is a human-in-the-loop design built on peer-reviewed cognitive science. Structured deliberation neutralises the bandwagon effect; merit-weighted aggregation compounds the signal of small, expert debates over noisy crowds.

Backed by
European Research Council
France 2030
French Tech
Peer-Reviewed Paper · 01

Aggregated knowledge from a small number of debates outperforms the wisdom of large crowds.

Nature Human Behaviour · 2018

Navajas J, Niella T, Garbulsky G, Bahrami B, Sigman M. Aggregated knowledge from a small number of debates outperforms the wisdom of large crowds. Nat Hum Behav 2, 126–132 (2018).

Peer-Reviewed Paper · 02

Democratic forecast: Small groups predict the future better than individuals and crowds.

Journal of Experimental Psychology: Applied · 2022

Dezecache, G., Dockendorff, M., Ferreiro, D. N., Deroy, O., & Bahrami, B. (2022). Democratic forecast: Small groups predict the future better than individuals and crowds. Journal of Experimental Psychology: Applied, 28(3), 525–537.

For Studios, Publishers & Platforms

Run a pilot on your next launch.

Hand us a release. We hand you back a probabilistic forecast, argument graph, and confidence interval — typically within four weeks, with no engineering lift on your side.

· No assets required ·· 4-week turnaround ·· NDA on request ·