Luminnovate LUMINNOVATE
Research-driven decision intelligence

Build better decisions, continuously.

Luminnovate helps organisations make better high-value decisions when the future is uncertain, the data is fragmented and the trade-offs are complex.

It turns available evidence into clearer choices, stronger actions and measurable commercial outcomes.

Start with one decision See the intelligence map
Forecasting intelligence at the centre of decision making Concentric rings show forecasting intelligence expanding into scenario planning, pricing, allocation, next best action, portfolio steering and operational optimisation. Forecasting intelligence what is likely to happen next? Risk & uncertainty Response & value Scenario planning Pricing Allocation Next best action Strategic planning Portfolio steering Operational optimisation Early warning
Signal→Forecast→Simulate→Optimise→Trace→Monitor
Signal & evidence engine

The intelligence starts with the signal.

Luminnovate is a research-driven decision intelligence firm where quantitative modelling, machine learning and engineering shape how complex decisions are understood, tested and improved.

01 · Generate

Generate better hypotheses.

Combine creativity, domain understanding and historical evidence to rapidly generate high-quality, testable signals.

Creativity expands the hypothesis space. Evidence decides what survives.
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Luminnovate
Signal research
SIGNAL DISCOVERY

Candidate signal lab

Researching
HypothesisSourceStatus
Trajectory shiftTemporal behaviourTest
Volatility regimeHistorical patternTest
Response elasticityPast actionsTest
External contextResearch + eventsTest
InputsData + domain + research
OutputTestable hypotheses
GoalFind information that matters
FEATURE ENGINEERING

Turn behaviour into powerful features

Building
RAW EVIDENCEEventsTime seriesTextExternal context
→
ENGINEERTrendTrajectoryVolatilityInteractionsRegime changeSequence
→
CANDIDATE SIGNALSDecision-relevant state

Time-correct, interpretable and ready to test.

ContextSystem behaviour retained
TimePoint-in-time correct
LineageFeature definition preserved
VALIDATION

Prove the signal is real

Evidence gate
Out-of-timePassPerformance survives time
StabilityPassConsistent across periods
Coverage94%Available when needed
LeakageClearNo future information
SensitivityStableRobust to specification
Incremental lift+12%Adds value beyond baseline
Candidate signal→Evidence gate→
DisciplineRobustness first
ProtectionOverfitting controlled
DecisionPromote or reject
ACTIVATION

Turn validated evidence into execution

Live loop
VALIDATED SIGNALSEvidence
→
FORECASTForesight
→
DECISIONAction
→
OUTCOMEFeedback
ExperimentRapid iteration
InfrastructureRepeatable research
FeedbackContinuous learning
Start with one decision

Begin where the cost of uncertainty is highest.

You do not need to transform the whole organisation. Start with one recurring decision where better foresight can change an action and the outcome can be measured.

Once the value is proven, the same intelligence can expand outward into adjacent decisions.

1Choose the decisionWhere is uncertainty expensive?
2Build the intelligenceWhat evidence predicts what comes next?
3Change the actionWhich alternative creates more value?
4Measure the outcomeDid the decision actually improve?
Commercial uplift

Better models are not the end goal. Better economics are.

Luminnovate evaluates improvement at the decision level. The question is not only whether a forecast is more accurate, but whether it changes the action and creates measurable value.

Evidencebetter context
→
Forecastbetter foresight
→
Decisionbetter action
→
Outcomemeasured result
→
Commercial valueuplift that matters
Revenuegrowth, conversion, retention
Marginpricing, mix, allocation
Costefficiency, utilisation, waste
Riskloss, volatility, downside
Built into every decision

Optimise. Trace. Monitor.

01

Decision optimisation

Evaluate alternatives against objectives, uncertainty and constraints to choose the strongest action.

What should we do?
02

Traceability

Preserve the evidence, assumptions, model outputs, rules and interventions behind each decision.

Why did we do it?
03

Monitoring

Track forecast quality, decision performance and realised outcomes as conditions change.

Is it still working?
Method-agnostic by design

Use the method the decision requires.

The objective is not to deploy the most complex model. It is to build the strongest possible view of the future and turn it into a better decision.

Signal researchFeature engineeringTime seriesMachine learningProbabilistic forecastingBayesian methodsSurvival analysisOut-of-time testingRobustness testingScenario simulationMonte CarloOperations researchOptimisationLLM researchExternal contextHuman expertise
Built from decision science

Designed for decisions that move the P&L.

Luminnovate was founded by Dr Parisa Milne, a data scientist and decision-science leader with more than two decades of experience across forecasting, optimisation, machine learning and operational decision systems.

The research discipline is simple: form hypotheses, engineer signals, test them hard, promote only what survives, and measure whether the resulting decision improves.

Start with one decision today

Which decision is costing you the most uncertainty?

Bring the decision, the available evidence and the outcome you care about. We will identify the smallest useful starting point.

Start with one decision