Kortical B2B Case Studies & Customer Successes

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Kortical - end to end ML platform - editable in code, built for data scientists to assist with preparing data, building ML models, deploying scalable models with a few clicks and managing them with ML Ops functionality. Kortical is different as it is built with transparency and control, where the code is editable vs hidden behind a UI. Some of the unique tools are, scoring the model improvement when you build new features before you build the model, explainability on DNN for NLP back into text and app hosting for easy scalable ML solutions. Kortical is an intuitive, code optional, platform that is enjoyable to use as it works with your current workflow vs hiding it behind a clunky web app.

Case Studies

Showing 15 Kortical Customer Success Stories

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Accountancy Cloud achieves 98%‑accurate automated Xero transaction classification and rapid production AI with Kortical

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Inventory optimisation using AI to reduce over-stock

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BT spots 52% of mobile tower failures a month in advance with Kortical's AI platform

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Deloitte achieves 50x tax-processing productivity and human-level accuracy with Kortical

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Intelligent Automation: Automating 98% of document classification from aviation records

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Predict auto failures in advance using connected vehicle data in real time

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Innovator International Increases Market Share with AI Customer Support Chatbot

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Leading US Hotel Chain achieves 56% revenue increase and 1,000% ROI with Kortical

NHS Blood and Transplant cuts platelet expiries 54% and eliminates ad hoc transport with Kortical AI

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Publicis Sapient accelerates data science — delivers 7 POCs in 6 months and wins digital transformation with Kortical’s AutoML platform

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Reed Recruitment Transforming Job Posting with an AI agent

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UK High Street Bank achieves £750k annual savings and automates 57% of customer emails at 95% accuracy with Kortical AutoML

UK High Street Bank catches 83% of bad debt missed by credit scores with Kortical

Zappi achieves a 43.9% NLP accuracy gain and production deployment in 5 weeks with Kortical's AutoML

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