Complexity. Costing Companies 25–36%* of operating profit.

Read the signal. Build the system. Track the decision. Live.
Run your Complexity Snapshot  →

* Cross-industry benchmark. Signal Analytics model data, last cohort run, 05/2026. See methodology

What Signal does

Signal builds decision systems.
Not dashboards.

Decision systems. Signals over more insights. Actions over more tools. Results over more data.

Signal identifies where complexity creates drag, what it is costing and what to change first. Then we build the systems that turn that signal into action.

For a demo or other solutions Talk to us →
2 in 3*
companies name decision friction as their number one complexity driver. The drag is often in the room, not the tool. *Signal 05/26 →
Signal Pulse+10 mins Diagnostic layer. Complexity Tax score, peer benchmark and the first decisions that move the dial.
Run Snapshot →
97%*
of injury events show early, trackable signals in the chronic load data. The signal was already there. *Signal 05/26 →
PITCH+ Chronic-signal modelling. Football is the proving ground. The architecture travels.
See it live →
8%*
operating profit added by a 1% price increase, volume unchanged. Currently set by instinct and defended by committee. *McKinsey →
Price+ Pricing power made measurable. Per customer, channel and month.
See it live →
47%*
of marketing ROI is overstated when MMM models ignore non-media drivers. When non-media drivers are ignored, the signal looks cleaner than the truth. *Nielsen →
Media+ Independent attribution and mix modelling. Honest signal, not platform self-report.
See it live →
48%*
of advert creative drives ROI. Yet most teams cannot see, track or rank what is live. *Nielsen →
Frame+ Creative scoring before spend. Less subjective debate, more objective signal.
See it live →
How Signal works

Read the signal. Build the system.
Operate it live.

One team. Commercial operators who code. Engineers who understand the business. End to end.

Every build runs the same three steps. Model the signal, ship the system, sustain and scale its operation.

Already have a use case? Talk to us →
01

Signal Index

The proprietary modelling layer inside every Signal build. It ingests messy behavioural data, time-series, transactional, biometric or categorical, and turns it into commercial signal before the cliff event.

02

Signal Engine

The product layer prescribed by the Index. One of our products, a bespoke build or a sequenced combination. Same architecture each time: canonical data layer, modelling discipline and GCP-native deployment. End to end in 0–90 days.

03

Signal Operate

The part most teams skip. We stay with the system: support, retraining and decision-loop hygiene, so it works on day one and keeps catching signal in year two.

Signal Index Light scores where complexity is costing you, benchmarks it against peers and gives the first bespoke actions to move from diagnosis to action.