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30 Most Reputable Companies of the year 2024

The AI partner with best solutions: Kortical

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Kortical is an AI Cloud platform to rapidly scale the delivery of superhuman performing enterprise grade AI and ML solutions with UI and code interfaces. Automation is part of the DNA of Kortical and the team love seeing a task that the team used to have to do again, and again, and again, get automated out of existence and watch that mind numbing work disappears forever. In fact studies show that boredom is the top reason people look for a new job, so automation is not just good for business, it’s good for maintaining a healthy, happy workforce. Ultimately the purpose of technology is to amplify the effectiveness of human labour. AI and Machine Learning (ML) are a revolution in labour amplification and promise to change the nature of work entirely, giving the team a chance to end drudgery once and for all. McKinsey estimates that 50% of all current work activities are technically automatable using currently demonstrated technologies. Crucially it only estimates that 5% of jobs can be fully automated.

The experience backs up their statistics and what the team see is that AI can take over the more mundane and repetitive aspects of a job, while moving the workers from more doing roles, to more supervisory and strategic roles. So far most industrial revolutions and technological advancements have increased the systematisation and repetitive nature of work. Take a photo of a McDonalds anywhere on earth and the clients would probably struggle to tell them apart. People man the same station on a factory line or of a digitised workflow day in and day out. Their work doesn’t fire their imagination or give them a sense of purpose but is something that pays the bills and keeps their head above water.

Extensive services Kortical provides its clients

AI Cloud: Kortical’s competition crushing, cloud scale, distributed AutoML will start finding the best machine learning solution for the clients’ dataset. The procedure to follow is to go to the lab screen and upload the dataset the clients want to train a model on. After the data uploads just select the column the clients want to predict. As Kortical creates new models the clients can view or edit the model solution code or compare models on the model leaderboard. Once the clients are ready the clients can publish the best model. Explain any model from a simple Random Forest to a Deep Neural Network with multiple different text encodings. Use the insight to create better features and improve results, remove bias from models and win over stakeholders that would be reticent of black-box AI. Click deployment and copy the relevant snippet for the clients’ business insights tool of choice. Open the clients’ business insight tool, the team is showing Google Sheets but it could just as easily be Qlik, Tableau, PowerBI, etc. Paste the clients’ snippet and now its AI enabled, serving predictions from the models the clients just created. The clients can use these models to predict customer churn, do advanced forecasting or customer segmentation among millions of other use cases.

AI Consulting: Kortical's AI consultancy service focuses on getting the clients from raw data to a deployed machine learning (ML) solution in weeks. From prediction, to automation and the latest in Gen AI the team are experts at finding the untapped value in any industry. Using the cutting-edge AI platform and AI consultancy service, the team has delivered multi-million pound positive impacts on the clients’ bottom lines. Artificial intelligence (AI) by its nature is experimental however Kortical’s AI Cloud platform automates many of the time consuming tasks meaning that in a few weeks the data scientists with the clients’ data, can build 1000's of ML models and let the clients know the value that deploying the clients’ machine learning solution could bring.

The team can deploy those machine learning initiatives in a few clicks and use a lean team of often a data scientist, the clients’ domain expert and a software developer to build an artificial intelligence solution that is fully tested, validated and deployed in 2-6 weeks.

MLOps: Users don’t consume machine learning models, they consume machine learning apps and services. Kortical’s groundbreaking ML deployment platform makes it easy to build machine learning models and the apps that use them. It's designed to be super simple to get started while also being expert-friendly. It has full code and transparency, so the clients can change anything and build whatever the clients want. The idea is to knock out a cool POC ML app; all the clients will need are 1 data scientist, 1 front-end Developer, and 1 weeks’ time. This would typically be ready to deploy live to production in 1 month for a relatively straightforward ML app.

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Meet the person behind the success of Kortical

Andy Gray, CEO and CTO

Since the age of 15 while trying to figure out how to dodge chores for good, Andy started to think about how a brain could be recreated in code and developed a passion for AI. He had a career in video games, making games that sold over 10 million copies and then moved to banking where among other things he worked on patents for ultra-low latency option pricing using machine learning, as well as delivering large scale machine learning projects into production for major banks. 

“Whether you're just starting your AI journey or looking for support in improving your existing delivery capability, Kortical is the answer.”

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