Public signal in. Decision material out.
Phive reads the signal your organization already leaves in the open: customer reviews, employee reviews, earnings calls, filings, news. Then it scores how well intent, reality, and action stay connected, from the boardroom to the frontline. We call that coherence. This page is the engine room: the math, the dimensions, and the evidence.
The whole engine, told in three minutes.
From the bet on execution to the decision path. Press play; captions included.
What a company says, what it means, and what it does.
Coherence rests on three dimensions: what a company says, what it means, and what it does. Organizational Φ measures the alignment between the three. It is coherence, scored. The math draws from integrated information theory in neuroscience and applies it to enterprise. The more aligned the parts, the more coherent the whole. The more coherent the whole, the more value it produces, and the longer that value takes to leak.
Shared Reality
Do people across levels and functions see the same facts? Or has the organization fragmented into silos, where sales believes one story, engineering another, and finance a third?
Shared Meaning
When strategy cascades through layers, does it stay intact? Or does each function reshape it until the original is no longer recognizable?
Shared Intent
Given the same situation, will different parts of the organization make compatible decisions? Or will they optimize for conflicting outcomes?
Coherence is not sentiment. It is a measurable operating signal.
Organizational Φ correlates with 52 of 76 financial metrics tested across 40+ quarters, leading by 2–4 quarters. The signal is readable 4–6 quarters before it shows up in earnings.
The data behind the engine.
An outside-in read is only as good as its reference base. Phive's covers most of the global economy.
- 75M+
- Companies tracked worldwide
- 850M+
- Employee records · 11 years
- 1,600+
- Transformation & AI initiatives mapped
- 5,400+
- Occupations at work-activity level
- 25+ yrs
- Financials · 75+ metrics · US · CA · EU
- 16+
- Signal sources
The base
Structured data on 75 million companies. 850 million employee records going back 11 years, drawn from 16+ sources. And 25 years of financials with 75+ key metrics for publicly traded companies across the US, Canada, and the EU.
The maps
More than 1,600 transformation and AI initiatives, organized by industry, value, company type, size, and the metrics they moved. And 5,400+ occupations broken down to the work-activity level: efficiency, automation potential, systems, use cases, and value drivers. The same question can be checked top-down and bottom-up.
The models
The models that read this base are bias-guarded: AI-driven and deterministic, spanning psycholinguistics, psychographics, organizational psychology, adoption, and impact. Every option that reaches a client has been through validation and adversarial interrogation first.
Hundreds of frameworks. One synthesis.
The agent stack applies hundreds of validated frameworks to over 1.5 billion data points spanning more than ten years of organizational, financial, and behavioral signal. Each framework contributes one dimension. The synthesis is what compresses a $1M, twelve-week engagement into a five-day sprint.
In a decision window? Tell us which one.
We respond within one business day. You get a scoped proposal or a short conversation, whichever fits the window.