TurinTech is the leader in AI Optimisation
We research and build.
Our four co-founders first met at University College London during their PhD research. Having worked for prestigious financial institutions, they were frustrated by the manual machine learning developing process and manual code optimising process, which are time-consuming, resource-intensive and require deep domain expertise. To overcome these difficulties, they built an AI optimisation platform – EvoML- to automate the entire process of creating, deploying and optimising AI. This is how TurinTech was created in 2018.
Our mission is to empower business to build efficient AI at scale.
We transform the business world with our next generation of AI optimisation. We reshape how AI is built and used, with care for AI’s carbon footprint, bias and ethics.
We empower our customers, our partners and our teams to achieve success. We invest in people and encourage them to pursue excellence. We promote Diversity, Equity, and Inclusion.
Complete visibility is part of the way we work as a team as well as our product. This enables trust and creates an innovative and creative environment where the sky is the limit when it comes to solving problems.
We believe curiosity is the driver to unlock new knowledge. We never stop expanding knowledge to advance AI technologies, build new products and innovate businesses for the better.
What do companies
say about us?
“A first and essential step in doing this (deploy optimal ML in production) is to optimise ML models and integrate them using scalable production code into the rest of the IT stack. Companies like TurinTech are early pioneers offering this capability.”
“This partnership signals an exciting opportunity to combine the forces of TurinTech and Exasol to help more enterprises scale AI and unlock its full potential.”
“TurinTech’s state of the art technology is now using AI to improve the way software itself is actually crafted. This represents one of the first steps in the exponential impact that AI can have. In the context of cloud it will materially improve efficiency costs and running speeds”