Bringing Jupyter Notebooks to Atlassian to enable agile data analysis and collaboration. Better together.
Collaborative data science platform: on-demand Jupyter Notebooks for teams, integrated into your environment and open for extension.
Combining data publishing, search and collaboration with computational notebooks to enable in-place analysis and modelling.
Working with companies of all sizes, large enterprise and startup, to conceptualize, engineer, and commercialize new technology and products.
Products and tools for data scientists and engineers with a particular focus on collaboration and shortening the path to operation.
Services to support a structured approach to data and platform strategy and architecture with a strong focus on change management.
Recommendation and implementation of robust infrastructure and processes for automating and productizing machine learning workflows.
Text mining and conversational AI platforms and applications using NLP, deep learning, as well as commercial solutions.
Machine learning and data engineering for practitioners, and AI strategy and design for product owners and business leaders.
We understand that solutions involve more than technology. Our design process takes into account commercial drivers, organisational environment, change management objectives and more.
Great technology solutions allow people to shine at what they do best. Machine learning, applied effectively, should make the complex simple without diminishing human experience and accountability.
Solutions that are right-sized for the business case, and consider the economic and cultural factors for success.
Working with the Data Science & Engineering teams on a number of a machine learning services using NLP, and a system to present insights to customers.