Tessella
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We partner with Engineering and R&D leaders to unlock insight and opportunity from data by the smart application of data science and AI at scale. Deliver superior operational performance, increase safety and transition to a more sustainable future. Combine product expertise and customer insights to give your customers better digital experiences.

Tessella and Oxford Develop Real-time Global Map to Track Risk of Infectious Diseases Spreading. Talk to us today about how data science can help your business harness insight you didn't know you had.
Services
At Tessella, we forge partnerships with our clients to pioneer innovative and professional solutions to complex problems. We're able to deliver rapid and sustainable business value from our clients' data by creating world-leading, end-to-end data science, AI, and scientific software solutions. At Tessella, our values inform everything we do.
Seamlessly develop your enterprise system from concept to real-world solution deployed into your organisation with our software development and application management services. Software is the bond between your data-driven insights and the people who benefit from them. Our specialists weave together your business vision with enterprise thinking, targeted technology selection and a rigorous software engineering approach.
Realize the true potential of your business initiatives by unlocking the complete value of your data with our fully managed AI and machine learning services. Make your initiatives truly transformative, with a coherent vision and lasting value. We fuse AI and advanced machine learning with enterprise data engineering and expert knowledge to deliver a faster route for the successful delivery of your data-driven projects.
Harnessing scientific, engineering, and data systems demands a new approach to application management - one that considers the unique challenges of complex self-learning systems. Getting your support service right pays dividends. You'll reduce the total cost of ownership, improve reliability, boost customer confidence, and enhance your ability to react to new business needs.
This situation is comparable to the nascent software industry of the 1960s and 70s. The response of that community was to put software engineering on a professional footing - the Software Development Lifecycle'. Now is the critical time to do the same for data science, articulating, and crystallizing best practice with a data science framework.
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