Powering skills development
in Data Science
K.A.T.E.® is our proprietary AI-powered learning and assessment platform for upskilling in Data Science.
K.A.T.E.® ( or Knowledge Assessment Teaching Engine ) is a SaaS proprietary system for Data Science training and assessment. It is developed by Cambridge Spark and is supported by the UK’s government innovation agency. K.A.T.E.® integrates research in source code analysis, compilers and recommender systems. K.A.T.E.®‘s purpose is to provide highly personalised code feedback and diagnostics to learners within an industry simulated environment.
Many organisations have adopted K.A.T.E.® to build internal Data Science capability and close technical skill gaps at scale, complete with a customisable talent management and assessment dashboard, K.A.T.E. Analytics, designed to optimise your talent development processes. K.A.T.E.® supports Python, SQL and Spark.
K.A.T.E. helped significantly to make our option pricing competition using Python a big success
Dr. Heiko Schäfer, Quantitative Developer, IMC Trading
The K.A.T.E. environment provides progressive exercises with immediate feedback and scoring. Our experience is this really helps the participants to stay motivated and focussed.
Dr. Stephen Simmons, Athena Research, JPMorgan
Features that matter
For Learning and Development
K.A.T.E.® provides structured, expert-led data science and coding projects, enabling you to upskill, reskill and onboard team members quickly and effectively.
For Assessment and Evaluation
Become more efficient and productive by eliminating time spent on technical assessment and marking. K.A.T.E.® automatically evaluates each individual’s capabilities aligned with industry software development practices and Machine Learning methodologies.
For Recruitment and Talent Acquisition
K.A.T.E.® allows you to make quicker, more informed hiring decisions. Leveraging AI technology, K.A.T.E.® provides an adaptive assessment platform to optimise your recruiting process and helps you to find and retain the best talent.