Akkio

Trains machine learning models on tabular data in approximately 10 minutes without requiring Python, R, or ML expertise. The platform automatically tests multiple algorithms, selects the best performer, and supports classification, regression, and time-series forecasting tasks. Users upload a dataset, select a target column, and Akkio handles feature selection, algorithm benchmarking, and model validation automatically.

A natural language interface that lets you ask plain-English questions about your uploaded datasets — such as 'What factors drive customer churn?' or 'Which leads are most likely to convert?' — and receive instant visualizations and statistical summaries. Chat Explore supports multi-turn conversations, allowing users to drill down into specific segments or time periods without writing SQL or code.

Handles the data cleaning tasks that consume roughly 80% of typical ML project time: removing duplicate records, filling missing values, standardizing column formats, and detecting outliers. This runs automatically before model training, significantly reducing the time and expertise required to go from raw data to a production-ready model.

Pre-built AI agents designed specifically for media agency workflows, covering campaign optimization, audience segmentation, programmatic ad targeting, and automated client reporting. These agents encode agency-specific logic and terminology, enabling media teams to deploy AI-powered workflows without configuring models from scratch or translating generic ML outputs into industry-relevant actions.

Deploys trained models as REST API endpoints that return real-time predictions on new data inputs. This enables teams to embed Akkio's ML predictions directly into CRM systems, data warehouses, marketing platforms, and custom applications without managing ML infrastructure. The API supports both single-record and batch prediction requests with API key authentication.