Kortical

What is Kortical?

Kortical is an AI cloud platform built to speed up the delivery of AI and ML solutions. It includes transparent AutoML, scalable deployment options, ML Ops, and auto-training for AI/ML models. It serves data scientists and coders through both a user-friendly interface and code-based access, covering everything from data exploration to cleaning and feature creation.

Kortical automates time-consuming, repetitive tasks such as initial data analysis, data cleaning, and feature engineering. Its AutoML automatically selects and fine-tunes machine learning models, so solutions can go live faster. A code-based dynamic template system makes it possible to build ML applications that can be adapted and launched quickly — sometimes in as little as 30 minutes.

AutoML (Automated Machine Learning) automates the process of applying machine learning to real-world problems. In Kortical, it handles model experiment setup: you can specify exactly how every part of the model is configured, or let the AutoML system handle most of it. This improves the efficiency of model experimentation and delivery.

Who created Kortical?

Kortical was founded by a team aiming to make delivering AI and ML solutions faster. The company officially launched on December 6, 2022. The founders focus on building automation tools that give data scientists and coders more power, and they describe a vision of creating a Post Scarcity Society through their technology. They are also advocates for Universal Basic Income (UBI) and work with organizations to help adults learn new skills for the digital economy.

What is Kortical used for?

• Quickly exploring data to understand it better
• Custom data cleaning
• Creating and refining features for models
• Running model experiments automatically with AutoML
• Model explainability — understanding how models make predictions
• Building ML apps or services
• Acting as assistive tech to speed up iteration cycles
• Tweak the sizes of deep neural nets
• Managing models throughout their lifecycle
• Fast retraining

Who is Kortical for?

• Data scientists
• Coders

How to use Kortical?

1. Simplify your tasks: Kortical automates repetitive jobs and provides tools for data exploration, custom cleaning, and feature engineering.
2. Explore your data: Use the interface for exploratory data analysis — check data types, validate assumptions, form hypotheses, and make informed decisions about model selection and tuning.
3. Clean your data: Fix missing, inconsistent, or incorrect data, and structure unstructured data so it’s ready for modeling.
4. Engineer features: Create and select the best features to improve model accuracy by turning raw data into something ML algorithms can work with effectively.
5. Run model experiments: Use AutoML to create and compare thousands of model variations efficiently — either configuring every detail yourself or letting the system handle most of it.