# Kortical Reviews **Vendor:** Kortical **Category:** [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms) **Average Rating:** 5.0/5.0 **Total Reviews:** 2 ## About Kortical Kortical is an AI Cloud / ML platform that delivers acceleration without sacrificing any control over the model building process. Build AI in code or in the UI, depending on your preference. Key features are: - Powerful SDK and UI interfaces - Exploratory Data Analysis - Data Cleaning & Feature Engineering - Model Building With Interactive AutoML - Experiment Tracking - Explainability - "1 click" Deployment - Instant Apps to create Enterprise Grade ML apps in minutes (code included) The cloud infrastructure is set-up so all you need is a login and you can from raw data to fully deployed model in hours. Using Kortical's app templates Data scientists are empowered to own the process from raw data to fully deployed, enterprise grade application, based on industry leading stack, including Kubernetes, uwsgi and continuous integration. With Kortical you get the best of data scientist and machine and we have a team of data scientists on hand to support you at any stage of your ML solution delivery. Kortical gets more accurate model results than Google AutoML, Azure, Datarobot and more, do reach out to check it out. ## Kortical Reviews ### 1. AI and machine learning platform that can democratise data science **Rating:** 5.0/5.0 stars **Reviewed by:** Simon J. | Enterprise (> 1000 emp.) **Reviewed Date:** April 29, 2020 **What do you like best about Kortical?** Kortical's auto-ML platform accelerates the time it takes to move from explorational to deployment as a data scientist. By automating the vast majority of steps in a machine learning pipeline, Kortical enables a data analyst to build production ready machine learn solutions. There are a wide array of supervised learning algorithms to tackle different problems. **What do you dislike about Kortical?** For the more advanced data scientists, there is probably a desire to hand craft machine learning solutions from scratch and to be incomplete control of the workflow. There is also a need to conduct most feature engineering prior to ingesting data into the platform. **Recommendations to others considering Kortical:** If you are looking for a machine learning platform for analysts who don't have PhDs in AI or machine learning, Kortical is an excellent platform for demoncratising the availablity of AI/ML solutions. It builds models and makes deployment easy. You will probably still do you data preparation in advance of using the platform. **What problems is Kortical solving and how is that benefiting you?** The most problem we are solving is the ability to build prototypes with little domain knowledge on a particular subject. This unlocks the benefit of reducing time to production (reducing effort 3-10x). It permits more time to experiment at the beginning of a project and there is no time wasted in provisioning the appropriate cloud environment. Typical business problems include binary classifiers for event prediction (cross-sell, churn) and regressors for forecasting. ### 2. A trusted machine-learning partner supercharged with Auto-ML that delivers high ROI **Rating:** 5.0/5.0 stars **Reviewed by:** Abdelrahman Z. | Mid-Market (51-1000 emp.) **Reviewed Date:** April 29, 2020 **What do you like best about Kortical?** 1) Easy to use interface for managers, business analysts, and data scientists. 2) Interoperable through API, for example easy integration to your Qlik Sense and Power BI dashboards. Where you can visualise all the results and integrate them in your day-to-day decision making. 3) Scalable to any company size through the power of Google Cloud. From small to large-scale enterprises. 4) A data science tool built by senior data scientists and can be trusted. 5) Not a black-box. Each row/result is explainable which is essential to most stakeholders. **What do you dislike about Kortical?** 1) Would love to see data model governance dashboard. Performance over time. Data drifting. 2) A detailed documentation and guideline to help users. **Recommendations to others considering Kortical:** 1) Focus on the business goals and have a lot of meetings to maximize ROI. 2) Be open to change through AI and machine learning. **What problems is Kortical solving and how is that benefiting you?** 1) Optimize nurse staffing, scheduling, and planning. 2) Optimize stock inventory for pharmaceutical and medical consumables. 3) Reduce readmission rates. ## Kortical Discussions - [What is Kortical used for?](https://www.g2.com/discussions/what-is-kortical-used-for) - [View Kortical pricing details and edition comparison](https://www.g2.com/products/kortical/reviews?section=pricing&secure%5Bexpires_at%5D=2026-05-15+17%3A55%3A16+-0500&secure%5Bsession_id%5D=567993f2-22b2-4c29-953d-b73cdbb14215&secure%5Btoken%5D=36fc2ce7c266efa3f19d05b87b13f655296dca0818fb96475be52362e85ce429&format=llm_user) ## Kortical Features **System** - Data Ingestion & Wrangling **Model Development** - Language Support - Drag and Drop - Pre-Built Algorithms - Model Training **Model Development** - Feature Engineering **Machine/Deep Learning Services** - Computer Vision - Natural Language Processing - Natural Language Generation - Artificial Neural Networks **Machine/Deep Learning Services** - Natural Language Understanding - Deep Learning **Deployment** - Managed Service - Application - Scalability **Generative AI** - AI Text Generation - AI Text Summarization - AI Text-to-Image **Agentic AI - Data Science and Machine Learning Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making ## Top Kortical Alternatives - [Domo](https://www.g2.com/products/domo/reviews) - 4.3/5.0 (987 reviews) - [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) - 4.3/5.0 (754 reviews) - [MATLAB](https://www.g2.com/products/matlab/reviews) - 4.5/5.0 (748 reviews)