Who we are, what we believe in, and the team driving Synapx forward.
The industries we serve and the outcomes we deliver across each sector.
Microsoft credentials and the partners we collaborate with to deliver outcomes.
Join a team of Microsoft specialists building the future of data and AI.
Upcoming webinars, XIAD workshops and executive briefings from our team.
Insights You Can Act On
The forecast is a spreadsheet with a gut-feel column, the churn report lands after the customers have gone, and the last ML pilot never left its notebook. We build explainable models that answer specific business questions, shipped into the workflow that uses them.
Machine Learning · Forecasting · Decision Support
The demand forecast is a spreadsheet with a gut-feel column, the churn report arrives after the customers have gone, and the last ML pilot produced an interesting notebook and nothing else. Applied data science exists for exactly those moments: analytics and models that answer a business question someone is actually asking. We start every engagement with the decision, the person who makes it, and the cost of getting it wrong, then work backwards to the model. If a well-built report would serve the decision better than machine learning, we will say so and build the report.
Where ML genuinely earns its place, we build it on the platforms your data already lives on: Fabric Data Science workloads and Databricks with MLflow, over the governed gold datasets our engineering practice produces. No data gets copied into a side environment that governance cannot see.
Explainability is a requirement, not a feature. Leadership will not act on a score they cannot interrogate, and regulators in financial services and insurance will not accept one. Every model ships with feature attribution, bias checks and documentation written for the audit as well as the analyst.
And because a model is only as good as its behaviour next quarter, everything deploys through our MLOps discipline: drift monitoring, scheduled evaluation and retraining pipelines, wired into the workflow that consumes the predictions. The same rigour now covers the generative and agentic systems our AI practice builds, because a prediction and an agent both need supervising once real data arrives.
Microsoft credentials behind our AI and ML work
We build predictive analytics, forecasting, and scenario planning models that enable your organisation to anticipate trends, optimise resources, and make confident decisions about the future.
We apply process optimisation and operational efficiency modelling techniques that identify bottlenecks, reduce waste, and unlock measurable productivity gains across your operations.
We develop bespoke AI solutions with Azure OpenAI & Copilot integration, built around your specific business problem and delivering intelligent automation and augmented decision-making.
We use semantic indexing, patent analysis, and market trend identification to surface hidden insights from unstructured data, giving your organisation a competitive intelligence edge.
We deliver analytics-driven decision support and accelerated idea-to-product conversion, giving leadership the insights they need to act quickly and confidently.
From business problem to production model
Models delivered with explainability built in
Models shipped without drift monitoring and an owner
Microsoft certifications across the team behind the work
Replace spreadsheet-driven forecasts with probabilistic models that quantify uncertainty and feed directly into planning and finance processes.
Predict churn risk and customer value so marketing, success and retention teams can act on the right accounts at the right time.
Model operational bottlenecks and simulate interventions so leadership can invest with confidence in the changes that move the needle.
Surface unusual transactions, network events or process deviations in near real time without drowning analysts in false positives.
Apply semantic search, summarisation and classification to large unstructured corpora to speed up research, underwriting and legal review.
Quantify elasticity and promotional uplift by channel and segment so commercial teams can optimise margin instead of guessing.
Co-define the business decision the model will support, success metrics, data availability and the cost of being wrong.
Run rapid experimentation in Fabric Data Science or Databricks ML to validate feasibility before committing to a full build.
Engineer features, train and evaluate candidate models, and package the winning approach with explainability and bias checks.
Deploy via MLOps with monitoring for drift, performance and fairness, and wire the model into the business workflow that consumes it.
We only build models we expect to put into production. Every engagement starts with the business decision and the operational workflow that will consume the model – so the output is a running, monitored system, not a slide deck.
Primarily Microsoft Fabric Data Science, Azure Machine Learning and Databricks, with MLflow for experiment tracking. We use Python, PySpark, and common libraries (scikit-learn, XGBoost, LightGBM, PyTorch) alongside Azure OpenAI for generative workloads.
A focused use case typically takes 8–12 weeks end-to-end. Simple models on clean data can be quicker; heavily regulated use cases with model risk sign-off take longer.
Explainability and bias assessment are built in from day one using SHAP, LIME and Microsoft Responsible AI tooling. We document datasheets, model cards and validation results so compliance and audit teams can review the model with confidence.
A business sponsor, a domain expert, and a data or IT point of contact. Our team handles data science, engineering and MLOps; yours provides context and the decision rights that make the model useful.
Yes. We offer ongoing model monitoring and retraining through Synapx-as-a-Service, tracking drift, performance and data quality so your models stay accurate as the business evolves.
David, Skanska
Project/Programme Manager
Mike, Mount Anvil
Head of Technology Applications
From the very first conversation, Synapx stood out. They didn't offer a one-size-fits-all solution; they listened, understood our workflows, and constructively challenged our assumptions. Since launch, the difference has been night and day: engagement is up, performance is dramatically better, and our teams now have a single, connected space for learning and communication. I'd recommend Synapx to any organisation looking to get more out of Microsoft technology.
Skanska
Project/Programme Manager
Working with Synapx has been transformative for Mount Anvil. They didn't feel like an external supplier; they became an extension of our team. Their technical expertise in implementing Microsoft Fabric solved our immediate challenges and positioned us for future growth, including AI and machine learning. What truly set Synapx apart was their transparency, commitment, and cost-optimisation through Xscale, making Fabric financially sustainable.
Mount Anvil
Head of Technology Applications
Synapx automated complex, manual processes, modernised legacy systems, and delivered scalable Power Platform solutions that streamline workflows and provide real-time insights. Their standout achievement was integrating SiteOps for accurate, real-time management of materials and compliance across multiple sites. Thanks to their future-proof architecture, we now have a robust digital ecosystem that empowers our teams.
Seras Energy Ltd
Head of Projects & Service Delivery
Exceptional communication. The final product exceeded our expectations.
The tool has streamlined our trade management process, reduced manual workloads and significantly improved efficiency and accuracy across our operations. What truly set Synapx apart was their exceptional communication, project management, and dedication to delivering excellence. They kept us informed at every stage, addressed challenges proactively, and ensured the final product exceeded our expectations.
Nuevo Partners UK LLP
Head of Operations
Their team delivered exactly what we needed, taking time to understand the purpose and specific requirements. By linking our Typeform online surveys with our Raisers Edge database, using Power Automate, they have enabled us to automate our incoming data processes. From our initial enquiry, scoping and delivery, we found them incredibly responsive and very good to communicate with.
The Ocean Conservation Trust
Head of Fundraising
Our go-to data partner. We recommend them to every one of our clients.
We work with Synapx as our go-to and trusted partner for anything Power BI, or data in general, so much so we recommend them to all our clients! The team at Synapx work with us in a way that makes it feel like they are part of our business, our 'data team'; projects and on-going support are executed easily and effortlessly.
Lanware
Chief Technology Officer
Bring the decision you want a model to support. In 45 minutes we will tell you whether your data can support it, roughly what a build would take, and whether a good report would do the job for less.
Book a Feasibility Call