Tech Stack by Business Problem
We use modern analytics and engineering tools to deliver MI, fraud triage, and automation for UK insurance teams.
Stack choices are driven by scalability, security, performance, and maintainability — not novelty.
Expand a technology below for a short overview — details stay on demand.
Filter by business need:
Python is a versatile language known for its simplicity and readability. It's widely used in web development, data analysis, machine learning, and automation, with a rich ecosystem of libraries that facilitate rapid development.
NumPy is a powerful library for numerical computing in Python, providing support for large, multi-dimensional arrays and matrices, along with a collection of mathematical functions to operate on them.
Pandas is an essential library for data manipulation and analysis, offering data structures and operations for manipulating numerical tables and time series
Matplotlib and Seaborn are powerful libraries for data visualization in Python, enabling the creation of static, interactive, and animated visualizations with ease.
Streamlit is an open-source app framework for Machine Learning and Data Science projects, enabling the creation of beautiful, performant, and easily shareable web apps.
XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible, and portable for machine learning tasks.
TensorFlow and Keras are powerful libraries for building and deploying machine learning models, particularly for deep learning applications.
Scikit-learn is a widely used library for machine learning, providing simple and efficient tools for data mining and data analysis.
Altair and Plotly are libraries for creating interactive data visualizations, allowing users to explore complex datasets through intuitive interfaces.
JavaScript is a versatile scripting language used to create dynamic and interactive content on websites, enhancing user experience with rich functionalities.
HTML (Hypertext Markup Language) is the standard language for creating web pages and structuring content on the web.
CSS (Cascading Style Sheets) is used to style and layout web pages, allowing developers to control the design, color, and positioning of elements.
Django is a high-level Python web framework that enables rapid development of secure and maintainable websites. Built by experienced developers, it takes care of much of the hassle of web development, so you build the app without needing to reinvent the wheel.
jQuery simplifies HTML document traversing, event handling, animating, and Ajax interactions for rapid web development. It's designed to change the way that you write JavaScript.
PostgreSQL is a highly scalable, SQL compliant database known for its robustness, flexibility, and performance. It supports both SQL (relational) and JSON (non-relational) querying.
Snowflake is a cloud-native data platform used for secure warehousing, scalable analytics, and streamlined data sharing.
SQL underpins reporting, transformation, and data quality workflows across analytics and operational systems.