Consulting

Science applied to decisions.

Hodologic works with organizations facing complex analytical and strategic questions. We combine data, models and scientific reasoning to structure problems, evaluate alternatives and support decisions.

A person sketching a flowchart on a whiteboard

What sets the work apart

Quantitative reasoning, stated plainly.

Hodologic is not a management consultancy. The difference is method: every conclusion rests on data and models that can be inspected, rerun and challenged.

Evidence you can trace

Every recommendation links back to the data, the model and the assumptions behind it, so your team can check it and challenge it.

Uncertainty on the table

Results come with ranges and with the direction of each assumption's bias. A threshold always says what it leaves out.

Work that outlives the engagement

Models, pipelines and tools are documented and recomputable, so the analysis can be rerun when the data changes.

Capabilities

From the question to the decision.

Twelve capabilities, grouped by where they sit in the work. Most engagements draw on several of them.

Frame the problem 01

Analytical strategy
Turning a broad question into one that data and models can answer.
Research & evidence synthesis
What is already known, how reliable it is, and where it stops.
Technical advisory
An independent reading of the models, vendors or analyses you already rely on.

Build the model 02

Advanced analytics
Statistical analysis of complex, messy or incomplete data.
Mathematical modeling
Explicit models of mechanisms, flows and constraints.
Machine learning & AI
Predictive models where the pattern matters more than the mechanism.
Forecasting
Probabilistic forecasts with honest intervals.
Simulation
Exploring outcomes under alternative assumptions.
Optimization
The best available choice under real constraints.

Support the decision 03

Decision-support systems
Tools that put models in front of decision-makers, with their limits visible.
Scenario analysis
Comparing possible futures, and the choices that hold up across them.
Model validation
Independent checks of whether a model deserves the trust placed in it.

Problem types

We start from the question, not the industry.

Engagements are organized by the kind of problem they solve. The same methods serve very different sectors.

Predict

Building models to anticipate future outcomes.

Forecasting · Probabilistic models

Optimize

Finding better choices under constraints.

Operations research · ConstraintsEdgeQuant

Understand

Identifying the mechanisms driving observed outcomes.

Causal inference · MechanismsLe Kiosque

Simulate

Exploring what may happen under alternative assumptions.

Scenarios · Agent-based models

Measure

Turning complex phenomena into meaningful indicators.

Indicators · Measurement designGIA

Decide

Designing analytical systems that support choices.

Decision analysis · Support systemsGIA

How we work

The Hodologic loop

Analytical work is iterative. Every decision produces new data, and every result sharpens the next question.

In practice

GIA · Gabon Infrastructure Assets

The GIA platform: dossiers and a layer stack beside a map of Gabon with roads coloured by load

A decision-support platform for infrastructure planning in Gabon, built end to end by Hodologic: data pipeline, accessibility and network analyses, alert engine and web platform.

90.7%within one hour of a mapped facility
46.1%of the uncovered reached by five centres
Read the case study

Start a conversation

Have a question that needs a model?

Tell us about the decision, the data you have, and what is at stake. We will say plainly whether and how analysis can help.