Compass is an AI-native system that reveals what actually happened in every interaction—grounded in evidence, timing, and confidence—so humans and AI systems can reason, govern, and act correctly.
Every organization depends on interactions.
But most of what matters inside them is never fully seen.
Not because teams aren’t paying attention —
but because interactions are complex, fast, and context-dependent.
Small moments get missed:
When those moments stay hidden, teams rely on substitutes:
summaries, scores, dashboards, delayed reviews.
Compass exists to make those moments visible —
grounded in evidence, timing, and confidence.
Compass does not start with a rubric or a score.
It starts with detection.
Detection of conditions that materially affect outcomes, risk, and responsibility.
Compass evaluates interactions by identifying conditions — observable states that occur (or fail to occur) within a conversation or workflow, such as:
Each condition is:
What emerges is not an opinion — but a record.
Every Compass output is grounded.
That means:
Nothing is hidden behind an abstract score.
If Compass detects something, it shows where it came from.
Real interactions are complex.
Ambiguity is unavoidable.
Compass makes uncertainty explicit by design:
Compass doesn’t pretend to know everything.
It reveals exactly what can be known — and what cannot.
Compass evaluates:
Using the same condition-based framework.
This creates a shared understanding across:
As AI systems take on more responsibility, revealing what actually happened becomes non-negotiable.
Compass provides that foundation.
Compass is not optimized for charts.
It is optimized for understanding — specifically, how investigators, reviewers, and operators reconstruct events.
You’ll see:
The design reflects how humans investigate events — not how dashboards summarize them.
Compass is a foundational evaluation system that supports:
As organizations grow more automated, Compass becomes the system that reveals interaction truth — across people, systems, and decisions.
Teams using Compass don’t ask:
They ask:
Compass reveals what actually occurred — with evidence, timing, and confidence.
Real interactions are complex.
Ambiguity is unavoidable.
Compass makes uncertainty explicit by design:
Compass doesn’t pretend to know everything.
It reveals exactly what can be known — and what cannot.
Compass evaluates:
Using the same condition-based framework.
This creates a shared understanding across:
As AI systems take on more responsibility, revealing what actually happened becomes non-negotiable.
Compass provides that foundation.
Compass is not optimized for charts.
It is optimized for understanding — specifically, how investigators, reviewers, and operators reconstruct events.
You’ll see:
The design reflects how humans investigate events — not how dashboards summarize them.
Compass is a foundational evaluation system that supports:
As organizations grow more automated, Compass becomes the system that reveals interaction truth — across people, systems, and decisions.
Teams using Compass don’t ask:
They ask: