The problems we are solving to build a decision engine.

The decision object

Situation, move, confidence, evidence, test, outcome. Every decision is made from a record with its prediction attached.

Deterministic reasoning

Decisions come from a knowledge graph and rules that reason over it, not from a language model. Conclusions are reproducible and trace to the rule and the records behind them.

The human gate

Every consequential move is surfaced for judgment and reviewed by a person. The engine ranks; human experts decide.

The compounding graph

Measured outcomes write back into the graph. Every recorded decision makes the next ranking better.

ACQUISITION

• 01

  Which channel deserves the next dollar, priced on lifetime value instead of platform metrics.

• 02

  Which segment pays back fastest, and what it costs to concentrate spend on it.

MONETIZATION

• 03

  Where pricing leaves expansion revenue unclaimed, and how to take it without renewal risk.

• 04

  Which accounts already outgrew their plan, and when repricing them is safe.

RETENTION & EXPANSION

• 05

  Which churn is preventable, which is a payments failure, and which is a segment telling the truth.

• 06

  Which early behavior separates the accounts that stay from the accounts that quietly leave.

• 07

  Which accounts are ready to expand, and when the upgrade conversation converts instead of annoys.

OFFER & POSITIONING

• 07

  Where the structure of an offer, not its price, stalls conversion.

• 08

  Which product or service line deserves the lead, scored on win rate and margin instead of habit.