Service · Machine Learning
Xister Building machine learning models tailored to your unique needs that evolve with your business.
A trusted partner
From custom AI chatbots to improve customer services, to image recognition systems for identifying stock within retail and models for planning optimisation across factory floors. We collaborate with organisations to design and develop machine learning models optimised to their specific challenges, data and operational environments.
Whether you’re looking to optimise planning, implement predictive analytics or leverage custom deep learning algorithms, we’ll build tailored models leveraging leading frameworks like TensorFlow, PyTorch and Scikit-learn to develop, train and deploy machine learning models tailored to your exact needs that can scale.
Delivering end-to-end machine learning
We start machine learning projects by gaining a thorough understanding of your business objectives, data landscape and constraints. Our machine learning engineers assess whether to build a new model from scratch for full customisation, or leverage a predefined model architecture.
We’ll work together to collect, cleanse and prepare your data to feed into machine learning models. Our data consultants will then begin developing and tuning models – selecting appropriate algorithms, network architectures and parameters for optimal performance and generalisability.
We train machine learning models on your data to learn the key patterns and relationships, followed by evaluating trained models to ensure they generalise well to new, unseen data.
We’ll progress to deploy the models into your production environments – hosting via APIs or embedding within applications. With ongoing monitoring and optimisation to ensure models continue meeting your needs as new data emerges.
Commodity contracts supported through trading platforms we’ve built
Funding allocation managed annually on platforms we’ve delivered
Pupils tracked across thousands of UK-wide schools
Annual sales supported through enterprise knowledge platforms
End-to-end delivery
01
Upgrading, re-platforming or replacing systems that no longer serve the business — without disrupting the people who depend on them.
02
Designing and building user-focused products and new digital services, integrated cleanly with the systems you already run.
03
Extending your in-house engineering and QA capacity with senior specialists who plug into your roadmap and ship at pace.
How we work
From custom AI chatbots for enhanced customer services, to predictive analytics tools for preventative product failure.
01
Creating chatbots, virtual assistants, IoT experiences and other AI services for improved communication.
02
Leveraging combinatorial optimisation models to solve problems from task scheduling to capacity planning.
03
Training machine learning models for predictive analysis across a range of use cases, products and environments.
Technologies
From frameworks including PyTorch and ML.NET, to AI cloud services within Azure and AWS.
Industries
From manufacturing and transport, to healthcare and retail.
The way that we work is that we are subject matter experts, we know our business, we know our customers, we can then have that conversation with the team at Xister. It is very much a collaborative 2 way process and the level of communication is just fantastic.
Operations Director · Global commodities partner