Heimdall

You bring in data from several sources, or raw text, and Heimdall gives back trained machine learning models and tabular data you can work with.

Heimdall is an automatic machine learning tool that lets teams build ML models without writing code.

Its NLP suite converts unstructured text into tables, which is handy if your information lives in documents, emails or notes rather than spreadsheets.

Heimdall pulls various data sources into one platform, so you are not stitching exports together before you start modeling.

The no-code approach aims at people outside data science teams, such as analysts and operations staff, who want predictions without waiting on engineers.

That is the practical meaning of its pitch about making machine learning accessible across an organization.

Expect a learning curve before you get the full range of features working for you, even without code.

Heimdall suits teams that want to try prediction and text-to-table work in one place, and less so anyone who wants a quick single-purpose utility.