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Actable AI

by Actable AI · Since 2020
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ActiveAvailable globallyCloudOn-premise
Quick facts
VendorActable AI
Year launched2020
StatusActive
LocationLondon, GB
Countries servedGlobal
Languages11
Integrations1+
Free tier
Free trialYES
Contact salesYES

About Actable AI

Actable AI is an AI-powered analytics platform from Actable AI that allows users to analyze data and obtain deep insights in minutes. It combines capable AutoML and Causal ML-based analytics, a full suite of AI, statistics, and visualizations, and exportable models and insights to provide flexibility and actionable insights. The platform supports easy usability akin to popular tools like Tableau, ensuring that users can quickly adapt and use its capabilities. Actable AI is designed to help users take actual actions from causal insights rather than just predictions, keeping them aligned with the latest best practices and algorithms. Key capabilities: AutoML Causal ML Statistical analysis Data visualizations Model export Best for: Data analysts and business professionals that need actionable insights from complex data sets.

Actable AI is a powerful data analysis software designed to help businesses make informed decisions based on data-driven insights. One of its standout features is its advanced machine learning algorithms that can analyze large datasets quickly and accurately. The user interface of Actable AI is intuitive and easy to navigate, making it a breeze for users to access and analyze their data. The design elements are sleek and modern, enhancing the overall user experience and making data analysis a more enjoyable task. What sets Actable AI apart from its competitors is its ability to handle complex operations with ease. Its innovative features allow users to explore data in new ways and uncover hidden patterns and trends that might not be visible with other software. In terms of performance, Actable AI excels in speed, efficiency, and reliability. It can easily manage large datasets without sacrificing performance, making it a valuable tool for businesses dealing with vast amounts of data on a daily basis. Actable AI integrates seamlessly with other tools, allowing users to import and export data with ease.

Pros & Cons

What users like
  • +Causal AI capabilities for business users with no-code setup
  • +Transparent modeling with SHAP explanations and counterfactuals
  • +Versatile toolset: from forecasting to segmentation to statistical testing
  • +Deployable models with REST APIs
  • +Enterprise-ready with on-premise and white-labeling options
What users flag
  • Advanced causal features may be unfamiliar to some business analysts
  • Limited flexibility compared to full programming environments (e.g., Python/R)
  • Forecasting and deep learning require understanding of data patterns and assumptions
  • Free plan is restricted to public data and basic model training hours
  • Some expert users may seek more granular control or customization options

Features

Key features

Causal AI
Causal discovery and inference to identify relationships and intervention effects from observational data.
AutoML
Predictive modeling with automated feature engineering, model selection, hyperparameter tuning, and SHAP explainability.
Time-Series Forecasting
Multivariate forecasting with uncertainty using deep learning or statistical models.
Segmentation
AI-powered clustering and customer segmentation with explanations.

Additional features

Causal Discovery & Inference – Discover and analyze causal relationships using PC, NOTEARS, and LiNGAM algorithms; estimate ATE/CATE using double machine learning; simulate counterfactual scenarios.
Predictive Modeling – Build classification and regression models with automatic feature engineering, hyperparameter tuning, and SHAP-based model interpretability.
Time-Series Forecasting – Perform univariate or multivariate forecasts with uncertainty intervals, incorporating trend, seasonality, and holiday effects.
Customer Segmentation – Cluster users or data points using deep learning-based methods and generate interpretable segments and behavioral insights.
Sentiment Analysis – Extract sentiment and keyword sentiment insights from text data in multiple languages for reviews, surveys, and other sources.
Statistical Testing & Analysis – Conduct A/B testing, ANOVA, Bayesian inference, t-tests, and correlation analysis for hypothesis validation and statistical insights.
Data Cleaning & Preprocessing – Detect and impute missing values, identify outliers and anomalies, and generate comprehensive data summaries.

Pricing

Free trial
Free version
Request a quote
Promo Offer

Countries & Languages

Global
Countries served
11
Interface languages
12
Billing currencies

Interface languages

EnglishSpanishFrenchGermanItalianPortugueseDutchRussianChineseJapaneseKorean

Billing currencies

🇺🇸USD🇬🇧GBP🇪🇺EUR🇯🇵JPY🇦🇺AUD🇨🇦CAD🇨🇭CHF🇨🇳CNY🇸🇪SEK🇳🇿NZD🇮🇳INR🇸🇬SGD

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