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Client Results

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Organisations today are facing complex challenges that can’t always be solved with traditional analysis.

Patterns are hidden, customer behaviour is unpredictable, and opportunities move quickly.

Machine learning provides the ability to not only understand what has happened, but also predict what is likely to happen next. StableLogic helps organisations cut through the complexity, building solutions that learn from data and adapt over time.

This transforms operations, enhances customer experience, and creates the foresight needed to make confident, future-ready decisions.

FEATURED INSIGHT

4 Benefits of Bespoke Business Intelligence Software

Effective use of data has become a necessary part of any successful business in the modern era. This need for so called ‘business intelligence’ has given rise to tools used for analysis and visualisation. But while off-the-shelf solutions offer some benefits, for businesses...

Client Results (Update)

Hover over each case study to discover how we are helping clients transform their businesses through machine learning services.

Firstcom

 

telecommunications

Building the next generation of unified communications with Firstcom Europe

 

 

Firstcom Europe have grown rapidly in recent years, partly through acquisition.

As a result, data was held in multiple different databases, in different countries, and in completely different formats.
 
StableLogic delivered a project to give Firstcom insight into their business, their customers and their services.
 

danone-520x160-1

 

FMCG

Managing one of the biggest data network infrastructure roll-outs in the world with Danone

 

 

 

Danone engaged StableLogic to support the roll-out of their new data network infrastructure to over 700 locations globally.

Our data team developed advanced dashboards to manage the rollout, the business case commercials and the network performance before and after the project. As a result, Danone had detailed insight into their project and the positive impact it had across the organisation.
 

boston-scientific-logo-black-and-white-1

 

Medical

Extracting the secrets to enterprise-level cost savings from years of data with Boston Scientific

 

 

Boston Scientific engaged StableLogic to develop insights into their internal IT corporate devices.

StableLogic built detailed analysis, using multiple data sources, to provide visualisations to the client.
 
As a direct result of those dashboards, Boston Scientific were able to realise tens of thousands of dollars in savings.

Machine learning is not just about algorithms—it’s about creating systems that continuously learn, improve, and deliver measurable value.

At StableLogic, we work with clients to define the right use cases, prepare and structure their data, and build models that can be trusted. We focus on practical applications that align with business goals, from predicting customer churn to optimising supply chains. Importantly, we ensure solutions are explainable and ethical, so stakeholders understand how results are achieved and can act with confidence.

1. Opportunity Identification

We begin by exploring your business goals and challenges. Together, we identify high-value use cases where machine learning can deliver tangible impact, such as cost reduction, efficiency, or new revenue streams. 

 
2. Data Assessment & Preparation
Machine learning relies on strong data foundations. We assess what information is available, identify gaps, and prepare it for model training. This includes cleansing, transformation, and ensuring compliance with privacy regulations.
3. Model Development & Training
Our team designs and trains models tailored to your objectives. We apply statistical techniques, supervised or unsupervised learning, and deep learning where appropriate. Each model is rigorously validated to ensure reliability.
4. Testing & Validation
We test models against historical and real-world scenarios to measure accuracy, performance, and fairness. Where necessary, we adjust parameters to ensure outcomes are both robust and unbiased.
5. Deployment & Integration
Once validated, models are deployed into your environment, integrated with existing systems, and scaled to handle real-time or batch workloads. This ensures insights are actionable and embedded into day-to-day decision-making.
6. Monitoring & Continuous Improvement
Machine learning is never static. We set up monitoring to track performance, detect drift, and retrain models as needed. This ensures accuracy and relevance as your business and data evolve.

“Machine learning gives organisations the ability to move from hindsight to foresight. By predicting outcomes and automating decisions, clients can act faster, reduce costs, and stay ahead of the competition.”

Sajid Rasool

Data Analyst, StableLogic

Connect with the StableLogic Machine Learning team.

 

 

Oscar Zhang
Oscar Zhang

Product Manager

Anas
Anas Aslam

Cloud Engineer

Sajid Rasool
Sajid Rasool

Data Analyst

Ash Gittens
Ash Gittens

Cloud Engineer

⸻  FAQs  ⸻

What kinds of problems can machine learning solve?

Applications range widely—from predicting customer churn and detecting fraud, to optimising supply chains and personalising customer experiences. Any process that generates data has the potential to be improved with machine learning.

How much data is needed to get started?

While large datasets can improve accuracy, many projects can begin with modest volumes if the data is clean and representative. StableLogic works with clients to determine whether their data is sufficient and how to enhance it if needed.

How do you ensure models are ethical and unbiased?

We apply fairness checks, bias detection methods, and transparent model governance. Our approach ensures that decisions are explainable and align with compliance standards.

Do machine learning solutions replace human decision-making?

No—they augment it. The goal is to automate routine tasks, highlight patterns, and provide predictions that support human expertise, not replace it.

How long does it take to implement a machine learning project?

Timelines vary depending on complexity. A pilot project may take 8–12 weeks, while larger deployments could extend over several months. StableLogic always provides a clear roadmap after the discovery phase.

What ROI can machine learning deliver?

Benefits often include cost savings, faster processes, improved customer satisfaction, and new revenue opportunities. By embedding predictive intelligence into operations, organisations gain a significant competitive edge.