Capabilities · Modelling and advanced analytics
Models that inform decisions, not just dashboards.
Forecasting, segmentation, A/B testing, sentiment analysis: we build and evaluate models that are reliable, explainable and tied to your business KPIs.
The challenge
Data, but few answers.
Dashboards describe the past. Hard decisions need forecasts, rigorous tests and models whose limits are understood.
- Unreliable forecasts that cost money
- Decisions made without rigorous testing
- Models no one knows how to evaluate
- Unsure whether to build in-house or get help
- Generative AI models that are hard to control
What we do
From business question to evaluated model.
Forecasting
Demand, sales, churn, workload: forecasts with their error margins.
A/B testing and experimentation
Well-designed tests so decisions rest on evidence, not impressions.
Segmentation and customer analytics
Useful segments built on how your customers actually behave.
Sentiment and text analytics
Analysis of reviews, comments and conversations to understand your brand and customers.
Model selection and adaptation
Foundation model, fine-tuning or a classical approach: we pick what fits the problem.
Evaluation and red teaming
Rigorous evaluation of your models and LLMs to measure quality and risk.
How we work
Statistical rigour, business language.
Frame
We turn the decision into a measurable question.
Prepare
We check and prepare the data needed.
Model
We build and compare several approaches.
Explain
We present results, their limits and how to use them.
Should we build a model in-house or hire consultants?
If the model is core to your competitive advantage, build the skill in-house; outside help often speeds up the first model and transfers the methods.
Should we fine-tune a foundation model?
Not always. Good prompt design and retrieval from your documents are often enough; fine-tuning makes sense for narrow, repeated tasks.
How do we know a model is reliable?
By evaluating it on data it has never seen, with metrics that fit the decision, and by monitoring it in production.
Let’s talk
A data or AI problem worth solving?
Tell us about the situation. We’ll reply with a first read of the problem and concrete next steps, with no commitment.
Write to us