Who We Are

We are a dedicated team of scientists specialising in modern data analysis and data engineering. Our approach combines an exploratory approach to extracting value from data, combined with efficient deployment and monitoring systems.
Based in Oxfordshire, we come from the vibrant Oxford tech start-up ecosystem. Our expertise has been honed through technical and strategic data leadership roles within some of the most successful start-ups and scale-ups to emerge from this renowned University City.

Our Unique Approach

We take an exploratory and collaborative approach to data science, working closely with you, the expert, to understand and represent your business and products through the data they generate. By building a strong foundational understanding, valuable insights naturally emerge with the use of the right tools and processes.

We believe that this exploratory value led approach to data science can be applied to any domain. That said,
here are a few of the sectors and applications in which we have particular expertise:

Manufacturing & Edge Devices

Our team has extensive experience analysing the manufacture and field deployment of sophisticated edge devices.
We collaborate with hardware, software and machine learning engineers to build a detailed picture of the operational status of your fleet of field-deployed edge devices. This enables us to classify failure modes, track utilisation, and build detailed segmentations of your fleet.
Manufacturing cutting-edge products is inherently complex and constantly evolving as improvements are fed in from R&D. With over a decade of experience we help manufacturing teams track processes flexibly and connect manufacturing data to in-field performance.
You’ll find a related case study here.

R&D Teams

Our background is working within and alongside R&D teams to maximise the value in their data. Our exploratory approach aligns naturally with the needs and workflows of R&D environments.
We work together with your research scientists and engineers to better understand your product through its data, uncovering new insights and developing innovative tools in the process.

Monitoring, Alerting & Change Point Detection

We offer a suite of services designed to support your product after rollout and deployment. We build automated analysis systems to proactively monitor your field deployments and manufacturing processes.
These systems can alert your teams when previously resolved failure modes reappear, new unclassified failure modes are detected, specific customers hit an unacceptable level of issues, or change points are detected in your key metrics.

By providing immediate insights, these systems allow your team to react quickly and make considered decisions on priorities, reducing reactive firefighting.

Machine Learning Operations

Machine learning operations (MLOps) is an ideal application of our brand of exploratory data analysis.
Combining our knowledge of modern machine learning algorithms with descriptive analytics, we can create detailed views of model performance and the data that feeds the model.
We go beyond standard out-of-the-box metrics to provide a rich view of your models' performance, blind spots, and evolution. Treating every ML model as a unique product means we tailor our analysis to its specific goals, challenges and context.

Contact

E-mail: email@example.com