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The AI-Driven Business Revolution

Make better, faster and unbiased business decisions with
low-code Auto & Explainable Causal AI

Why Actable AI?

Leading provider of Causal AI and other low-code data science tools
  • Taking actual actions from causal insights, not just prediction
  • Transparent models, no more black boxes
  • A full suite of AI, statistics and visualizations
  • Very easy to use, just like Tableau
  • Exportable models and insights, no platform lock-in
  • Adopt Causal AI to avoid coming EU AI Act violation
  • Deploy anywhere, on any cloud or on your premise
  • Designed for both business users and experienced data scientists
  • Save 80% of your time from training models to production release

Extract decision intelligence easily in simple steps

Build & deploy predictive models, extract causal insights and much more with a few clicks
1. Connect: Upload Excel & CSV file or connect to your SQL database
2. Transform: Transform your data and feature engineer with our SQL editor
3. Analyze: Extract actionable insights from one of our Machine Learning or statistical tools
4. Visualize: Share your results with a rich set of visualizations & dashboards
5a. Schedule: Schedule to get & export fresh results from the latest data
5b. Integrate: Use the trained model's RESTful API to integerate with your own applications

AI-Powered Analytics in Your Web Browser and Spreadsheets

Try out our web app or Google Sheets add-on.
Web Application
Powerful web-based Data Science platform with all the features you need
‍
See how it works
Google Sheets Add-on
Apply data science directly while manipulating your data in the same place
‍
See how it works


Available Analytics

A full list of features from our advanced analytics and more are coming soon
Predictive modelling
Trains predictive models with labelled data to predict unlabelled data
  • Automatically selects the best models from a wide range of model architectures
  • Automates feature selection
  • Automates hyperparameter tuning
  • Includes prediction intervals
  • Includes prediction explanations with Shapley values
  • Predicts effect of interventions
  • Works seamlessly with text columns in any languages
  • Automates causal feature selection (Beta)
  • Removes historical biases with Causal AI and GAN (Beta)
Causal Discovery
Automatically detects causal graph (DAG) with input constraints from domain experts
  • Including the most common algorithms such as PC, DirectLinGAM, NOTEARS and the latest deep-learning based DECI
  • Domain experts can add constraints and hints to guide the algorithms to discover only causal graphs that satisfied specified conditions
  • Interactive and visualizations of the discovered DAG so the user can easily understand the causal effects and fine-tune the constraints until entirely satisfied
Timeseries forecasting
Forecasts future by capturing temporal patterns from historical data
  • Automatically trains and selects the best model from a variety of algorithms including statisitcal, tree-based and Deep Neural Networks
  • Configurable model and hyperparameter search
  • Works seamlessly with additional numerical or categorical features
  • Handles both univariate and multivariate timeseries
  • Multi-step forecasting with levels of uncertainty
  • Works seamlessly with timeseries groups for cross learning between groups
Causal inference
Estimates causal effect from observational data without expensive and time-consuming RCTs or A/B testings
  • Uses Double Machine Learning with AutoML for robust inference while minimizing biases
  • Estimates both ATE and CATE for heterogeneous effects
  • Works seamlessly with categorical and text columns
  • Handles both categorical and numerical treatments
  • Handles both categorical and numerical outcomes
Segmentation‍
Clusters customers or products to similar cohorts with a rich set of features
  • Works seamlessly with categorical columns
  • Captures complex relationships and learns item similarity in high dimensional space with Deep Learning
  • Includes cluster explanations in natural language
  • Includes prediction explanations with Shapley values
Counterfactual predictions (What if?)
Predicts potential outcomes when a hypothetical intervetion is introduced
  • Uses Causal Inference for correctly estimating causal effect and potential outcomes
  • Include intervention recommendations for given expected outcomes for optimisation
Sentiment analysis
Extracts keywords and their sentiments from 12 different languages with ease
  • Automatically extracts keywords and aspects that matter
  • Works seamlessly with most European languages, Hindi and Arabic
Statistical analyses & visualizations
Our toolbox also contains different hypothesis testing tools and statisitcal analyses
  • Includes hypothesis testing methods such as ANOVA, parametric and non-parametric methods
  • Includes statistical analyses such as correlational analysis, Bayesian Linear Regression, Association Rules, etc.
  • Includes a rich set of visualizations for exploratory data analyses


Technologies

All our analytics are powered by the best and latest open-source technologies
Powered by open-source state-of-the-art AutoML to train quality models without hassle
All trained models are deployed instantly to be used interactively online or with an API
Leverages Deep Learning and pre-trained models for extra intelligence whenever applicable
Full feature importances and model explanations with Shapley values
Utilizes Causal AI with AutoML for fairness, causal inference and counterfactual predictions
Always stay up-to-date with the best and latest technologies
Representative vendor of Causal AI by
Actable AI
Actable AI Technologies LTD
UK Company Number: 12669336
Malta Company Number: C99699

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